Marketing automation tools are like superchargers for marketers, propelling their campaigns to new heights. Yet, there's a secret ingredient that can take this power to the next level: the right audience data.

What better than an organization's CRM to power it?

The good news is that many marketing automation tools are embracing CRM API integrations to drive greater adoption and results. However, with the increasing number of CRM systems in play, building and managing CRM integrations is becoming a huge challenge.

Fortunately, the rise of unified CRM APIs is bridging this gap, making CRM integration seamless for marketing automation tools. Before looking at the specific ways marketing automation tools can put CRM data to work, here's a quick look at what CRM API integration actually means.

In this article

• What is CRM API integration?
• 10 ways marketing automation tools can maximize results with CRM API integration
• Real-world struggles of CRM integration in marketing automation
• How a unified CRM API ensures maximum integration ROI
• FAQs

What is CRM API integration?

A CRM API is a set of endpoints that a Customer Relationship Management platform exposes so external applications can read and write its data — contacts, deals, companies, activities, and custom fields — programmatically, instead of through the CRM's own interface.

CRM API integration is the process of connecting an external application, such as a marketing automation tool, to one or more CRM systems through these APIs so that data and triggers can flow between them automatically. For a marketing automation platform, that usually means pulling contact and deal data from the CRM to power segmentation and personalization, and pushing engagement data — email opens, campaign responses, lead scores — back into the CRM so sales has an up-to-date view of each lead.

Because every CRM structures this data differently, building and maintaining direct integrations with multiple CRMs is a significant engineering investment. A unified CRM API like Knit addresses this by normalizing these differences into a single data model and a single integration covering Knit's full catalog of CRM applications — the approach this post explores in more detail below.

10 ways marketing automation tools can maximize results with CRM API integration

Here's a quick snapshot of how CRM APIs can bring out the best of marketing automation tools, making the most of the audience data for customers.

1. Customer segmentation and content personalization

Personalized messaging consistently outperforms generic, one-size-fits-all campaigns, and CRM integration with marketing automation tools gives users the segmentation data needed to build that personalization at scale.

Users can segment customers based on their likelihood of conversion and personalize content for each campaign. Slicing and dicing customer data — including demographics, preferences, and interactions — can further help in customizing content with higher chances of consumption and engagement. Customer segmentation powered by CRM API data can help create content that customers resonate with.

2. Enhanced lead nurturing for higher conversion

CRM integration provides the marketing automation tool with every tiny detail of every lead to adjust and customize communication and campaigns that facilitate better nurturing. At the same time, real-time updates from the CRM can help with timely marketing follow-ups for better chances of closure.

3. Churn prediction and customer retention

As customer data from the CRM and marketing automation tools is synced in real time, early signs of churn — like reduced engagement or changed consumer behavior — can be captured.

Real-time alerts can also be automatically updated in the CRM for sales action. At the same time, marketing automation tools can leverage CRM data to predict which customers are more likely to churn and create specific campaigns to facilitate retention.

4. Upsell and cross-sell campaigns

Users can leverage customer preferences from CRM data to design campaigns with specific recommendations, and even identify opportunities for upselling and cross-selling.

For instance, customers with high engagement might be interested in upgrading their relationships, and marketing automation tools can use this information together with CRM details on historical trends to propose the best options for upselling.

Similarly, when details of customer transactions are captured in the CRM, they can be used to identify opportunities for complementary selling with dedicated campaigns — leading to a clear increase in revenue.

5. Automated campaign workflow to reduce operational overheads

In most marketing campaigns, as the status of a lead changes, a new set of communication and campaigns takes over. With CRM API integration, marketing automation tools can automate the campaign workflow in real time as soon as there's a status change in the CRM — ensuring greater engagement with the lead right when their status changes.

6. Event-triggered campaigns for faster TAT

Marketing communication after events is an important part of the sales process. With CRM integration in marketing automation tools, automated post-event communication or campaigns can be triggered based on a lead's status for attendance and participation in the event.

This facilitates a faster turnaround time for engaging customers right after the event, without delays from manual follow-ups.

7. Lead source automation

CRM integration can help automatically map the source of a lead from different marketing activities — webinars, social media posts, newsletters, and more — in your CRM, helping you understand where your target audience engagement is highest.

At the same time, it can facilitate tagging leads to the right teams or individuals for follow-ups and closures. With automated lead source tracking, users can track the ROI of different marketing activities.

8. Tailored social media campaigns and multi-channel marketing

With CRM API integration, users can access customer preference insights to define their social media campaigns and audience. They can also customize scheduling based on a customer's geographic location from the CRM, to maximize efficiency.

9. Data enrichment for enhancing lead profiles

With bi-directional sync, CRM API integration with marketing automation tools can enhance lead profiles. As more lead data comes in across both platforms, users get a richer, more comprehensive view of their customers — updated in real time across the CRM and the marketing tool.

10. Customer reporting and analytics for decision-making

Data insights from a CRM integrated with marketing automation tools can help teams build reports that analyze and track customer behavior.

This helps teams understand consumer trends, identify top-performing marketing channels, improve customer segmentation, and refine the marketing strategy for stronger engagement overall.

Put together, these ten capabilities support marketing automation across the full customer lifecycle — from a first touch captured in the CRM, through segmentation, nurturing, and lifecycle campaigns, to churn prevention and retention. The more of this data flows automatically between the CRM and the marketing automation tool, the less manual work is needed to keep campaigns aligned with where each customer actually is in their journey.

Real-world struggles of CRM integration in marketing automation

While the benefits of CRM API integration with marketing automation tools are many, there are also roadblocks along the way. Since each CRM API is different, and your customers might be using different CRM systems, building and maintaining a plethora of CRM integrations can be challenging due to:

Data transformation inconsistency and campaign blunders

When data is exchanged between two applications, it needs to be transformed so it's normalized, with data fields compatible across both. Since each CRM API has its own data models, syntax, and nuances, inconsistency during data transfer is a big challenge.

If data isn't correctly normalized or transformed, it can get corrupted or lost, leading to gaps in the integration. Inconsistency in data transformation and sync can also lead to sending incorrect campaigns and triggers to customers, compromising their experience.

Delays in campaigns

While inconsistent data transformation is one challenge, a related concern is delays or limited real-time sync capabilities.

If data sync between the CRM and the marketing automation tool isn't happening in real time across all CRMs being used, communication with end customers can be delayed — leading to loss of interest and lower engagement.

Customer data privacy and security concerns

A CRM is a hub of sensitive customer data, often governed by GDPR and other compliance regulations. Integration and data transfer are always vulnerable to security threats like man-in-the-middle attacks and DDoS, which can compromise privacy and create monetary and reputational risk.

Scalability

With the increasing number of CRM applications, scalability becomes a major integration challenge. Building a direct integration with a single CRM's API is itself a meaningful engineering investment — handling that CRM's authentication, data model, rate limits, and edge cases. The challenge is that this effort doesn't scale linearly: supporting a second or third CRM means repeating much of that work against a completely different API, which either means compromising on the CRM integrations you can offer or pulling engineering bandwidth away from your core product.

Moreover, as the number of integrated CRM systems grows, the volume of API calls and data exchange grows with it — leading to delays in data sync and real-time updates as load increases. Scalability inevitably becomes a challenge.

Integration management

Managing and maintaining integrations is a challenge in itself. When end customers are using integrations, issues that require immediate action are likely to come up.

At the same time, maintaining detailed logs and manually tracking API calls and syncs is tedious — and any lag here can affect the entire integration system.

Vendor management

Finally, when integrating with different CRM APIs, managing the CRM vendors themselves is a challenge. Understanding API updates, managing different endpoints, ensuring zero downtime, handling errors, and coordinating with each vendor's response team is highly operational and time-consuming.

How a unified CRM API ensures maximum integration ROI

Don't let the challenges above stop you from realizing the benefits described earlier in this post. A unified CRM API like Knit's can help you access those benefits without the operational overhead.

If you want to understand the technical details of how a unified API works, this will help.

Integrate in minutes with multiple CRM APIs

A unified CRM API makes it possible to integrate with marketing automation tools within minutes rather than the weeks or months that direct integrations typically take.

At the same time, it enables connecting with multiple CRM applications in one go. With Knit, marketing automation tools simply embed Knit's UI component in their frontend to get access to Knit's full catalog of CRM applications.

Build CRM-to-marketing-automation workflows without code

Beyond the unified API itself, Knit's Integrations Agent lets you build CRM-to-marketing-automation workflows by describing them in plain English — no integration code required. It supports two kinds of workflows: data sync (keeping records aligned between a CRM and a marketing automation tool) and orchestration (multi-step automations triggered by an event).

In a marketing context, this could look like:

• "When a lead's stage changes to 'Customer' in [CRM], add them to the onboarding email sequence in [marketing automation tool]."
• "If a deal is marked 'Closed Lost' in [CRM], remove the contact from active nurture campaigns and tag them for a win-back sequence in 90 days."
• "Notify our marketing team on Slack whenever a high-value lead's engagement score crosses a threshold in [CRM]."

These workflows run on the same normalized CRM data model described throughout this post, so they work the same way across Knit's full catalog of CRM applications — for marketing teams who'd rather configure an automation than wait on an integration backlog.

Consistent data transfer guaranteed with normalized data models

A unified CRM API can address data transformation and normalization challenges easily. With Knit, different data models, nuances, and schemas across CRM applications are mapped into a single, unified data model — enabling data normalization in real time.

At the same time, Knit lets you map custom data fields to access non-standard data.

Real-time campaigns and data exchange

The right unified CRM API can help you sync data in real time, without your team having to build and maintain polling logic for every CRM.

Knit syncs data via event-based webhooks rather than scheduled polling — when a record changes in a CRM, Knit detects the update and pushes it to the marketing automation tool in real time, already normalized into a single data model. For CRM platforms that don't natively support webhooks, Knit provides virtual webhooks that replicate this real-time behavior, so the marketing automation tool doesn't need to know which CRMs support webhooks natively and which don't — or build any polling, rate-limit handling, or normalization logic itself.

This ensures that as soon as a customer's details are updated in the CRM, the associated campaigns or triggers are automatically set in motion.

Never miss a data update

There can be multiple CRM updates within a few minutes, and as data load increases, a unified CRM API helps ensure guaranteed data sync in real time. With Knit, built-in retry mechanisms add resilience so marketing automation tools don't miss CRM updates even at scale — since every lead matters.

You can also configure sync frequency to suit your needs.

Scale as you go

With a unified CRM API, you only need to integrate once. Once you embed the UI component, every time a new CRM application is added to Knit's catalog, you can access it automatically — with sync capabilities — without spending any engineering capacity from your team.

This lets you scale in the most resource-light and efficient way, without diverting engineering productivity from your core product. From a data sync perspective too, a unified CRM API ensures guaranteed scalability, regardless of data load.

Security at scale

One of the biggest concerns around security and vulnerability to cyberattacks can be addressed with a unified CRM API. Here's how Knit approaches it:

• Knit encrypts data with AES-256 at rest and TLS 1.3 in transit, with an additional layer of application-level encryption for PII and credentials.
• Knit is the only unified API in the market that doesn't store a copy of your end users' data — it operates as a pass-through proxy, processing data on its servers and sending it directly to your application via webhooks. Protecting end-user data this way also helps you build customer confidence during sales conversations.
• Knit supports OAuth, API key, and username/password-based authentication, so whatever authorization protocol a given CRM uses, Knit can integrate with it.
• Knit is also SOC2, GDPR, and ISO27001 certified, with continuously monitored infrastructure and 24/7 support.

Catch potential errors early on

Finally, integration management — making sure all your CRM APIs are healthy — is well taken care of by a unified CRM API.

• A unified CRM API like Knit provides access to a detailed Logs, Issues, Integrated Accounts, and Syncs page for all integrations, so you can monitor and track them along with possible root causes and fixes. This lets your CX team resolve customer issues immediately without involving the tech team.
• It also lets you track every API call and data sync, as well as the status of registered webhooks, for real-time visibility into errors — helping you stay on top of your data and catch issues before they affect customers.

Constant monitoring and on-demand customer support

Finally, when you're using a unified API, you don't have to deal with multiple vendors, endpoints, and so on — the heavy lifting is handled by the unified CRM API provider.

With Knit, you get access to 24/7 support to securely manage your integrations, along with detailed documentation, guides, and product walkthroughs for your developers and end users.

FAQs

What is CRM API integration?

CRM API integration is the process of connecting an external application — such as a marketing automation tool — to one or more CRM systems through their APIs, so that records like contacts, deals, and activities can flow between the two systems automatically. Knit provides a unified CRM API that normalizes this connection across its full catalog of CRM platforms, so a marketing automation tool integrates once instead of building a separate connection for each CRM. In practice, this means pulling CRM data into the marketing tool for segmentation and personalization, and pushing engagement data back into the CRM so sales has an up-to-date view of each lead.

What is a CRM API?

A CRM API is a set of endpoints that a Customer Relationship Management platform exposes so other applications can read and write its data — contacts, companies, deals, activities, and custom fields — without going through the CRM's own interface. Knit's unified CRM API sits on top of these individual CRM APIs and normalizes their differences into a single data model and a single integration. Most CRM APIs support core objects like contacts and deals, use OAuth, API key, or username/password authentication, and increasingly offer webhooks for real-time updates — though support varies significantly by provider.

What's an example of CRM API integration in marketing automation?

A common example is lead-stage syncing: when a lead's status changes in the CRM — say from "Qualified" to "Customer" — a CRM API integration can automatically move that contact into a different marketing automation segment, stop one email sequence, and start another, such as an onboarding campaign. With Knit's unified CRM API, this kind of integration is built once against a single normalized data model and works the same way across every CRM in Knit's catalog, rather than being rebuilt for each CRM a marketing automation platform's customers might use. Knit's Integrations Agent can also build this kind of workflow directly from a plain-English description, without integration code.

Does Knit support integrating with multiple CRM platforms through one API?

Yes — Knit's unified CRM API connects to its full catalog of CRM platforms through a single integration, normalizing each provider's data model (contacts, companies, deals, activities) into one consistent format. Instead of building and maintaining separate integrations for each CRM your customers use — each with its own authentication, data structure, and rate limits — you integrate once against Knit's API and gain access to every supported CRM, with new platforms added over time. Custom fields are preserved for CRM-specific data that doesn't fit the standard model. This is particularly useful for marketing automation, sales engagement, and martech platforms whose customers each use a different CRM.

How does a unified CRM API keep marketing automation tools in sync with CRM data in real time?

Knit keeps CRM and marketing automation data in sync through event-based webhooks rather than scheduled polling — when a record changes in the CRM, Knit detects the update and pushes it to the marketing automation tool in real time, already normalized into a single data model. For CRM platforms that don't natively support webhooks, Knit provides virtual webhooks that replicate this real-time behavior, so the marketing automation tool doesn't need to build or maintain any polling logic itself. This is what allows a status change in the CRM — say, a lead becoming a customer — to trigger a campaign change in the marketing tool within moments rather than on the next sync cycle.

Is Knit free to get started with for CRM integrations?

Yes — getting started with Knit's unified CRM API is free. You can sign up, get API keys, and start testing integrations with CRM platforms in Knit's catalog without any upfront cost. This lets a marketing automation team or product team validate that Knit's data model and sync behavior fit their use case before committing to a paid plan for production usage at scale. For teams evaluating whether to build direct CRM integrations or use a unified API, this makes it straightforward to prototype a CRM-to-marketing-automation workflow — including ones built through Knit's Integrations Agent — before any commercial discussion.

How secure is customer data when using a unified CRM API like Knit?

Knit is the only unified API in the market that doesn't store a copy of your end users' CRM data — it operates as a pass-through proxy, processing data on its servers and sending it directly to your application via webhooks. All data Knit processes is encrypted with AES-256 at rest and TLS 1.3 in transit, with an additional layer of application-level encryption for PII and credentials. Knit is also SOC2, GDPR, and ISO27001 certified, with continuously monitored infrastructure and 24/7 support. For marketing automation platforms handling customer contact and engagement data, this means that data isn't sitting in a second database you also have to secure.

Can marketing teams build CRM workflow automations without writing integration code?

Yes — Knit's Integrations Agent lets you build CRM-to-marketing-automation workflows by describing them in plain English; it connects the relevant tools, configures the workflow, and makes it live without requiring integration code. It supports both data-sync workflows (for example, keeping contact records aligned between a CRM and a marketing automation tool) and orchestration workflows (for example, when a lead's stage changes to "Customer" in the CRM, automatically add them to an onboarding sequence and notify the marketing team on Slack). The Agent runs on the same normalized CRM data model as Knit's Unified API, so it works consistently across every CRM in Knit's catalog.

Get started with a unified CRM API

If you're looking to integrate multiple CRM APIs with your product, get your Knit API keys and see the unified API in action — getting started with Knit is completely free.

You can also talk to one of our experts to see how Knit can be customized to solve your specific integration challenges.

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How to Automate Recruitment Workflows with ATS APIs and Hire Smarter

Last updated: June 2026

Today, recruitment without ATS applications seems almost impossible. From candidate sourcing and screening to communication and onboarding — every part of the recruitment workflow is tied to ATS apps.

An ATS API lets your application connect directly to an Applicant Tracking System — pulling candidate data, job postings, and application statuses, and pushing updates back — so recruitment teams aren't stuck manually re-entering information across tools. Automating a recruitment workflow with ATS APIs means using these connections to handle repetitive steps — posting jobs, syncing candidate data, scheduling interviews, sending status updates — automatically instead of manually.

Done well, this kind of automation frees up recruiters' time for the parts of hiring that genuinely need a human — interviewing, evaluating, and building relationships with candidates — while reducing the data-entry errors and delays that come from juggling multiple disconnected systems.

If you're looking for a primer on what ATS integration means and the different ways to approach it, see Knit's guide to ATS integration. This post focuses on the practical side: how to plan, build, and maintain ATS API automation for your recruitment workflow — and where a unified API like Knit fits in.

In this article

• Recruitment workflow: what ATS APIs can automate
• How to automate your recruitment workflow with ATS APIs
• Limitations of using multiple ATS APIs directly
• How Knit helps automate ATS recruitment workflows
• TL:DR
• FAQs

Recruitment workflow and automation with ATS APIs

A typical recruitment workflow runs through several stages — and ATS APIs can automate meaningful parts of each one:

• Job requisition and posting — auto-publish approved job postings to multiple job boards and career sites, and pull posting status back without manual checks.
• Candidate sourcing and screening — sync candidate profiles and resumes into your systems as soon as they're submitted, and trigger automated screening based on ATS data.
• Interview scheduling — connect ATS candidate-stage data with calendar tools to auto-schedule interviews and send confirmations and reminders.
• Candidate assessment — automatically trigger assessment invites when a candidate reaches a given stage, and pull results back into the ATS.
• Decision making — surface candidate status changes (e.g., interview feedback recorded) to the right stakeholders automatically.
• Job offer and onboarding — once a candidate is marked "hired" in the ATS, trigger offer-letter generation and kick off onboarding in HRIS systems.
• Managing information — keep candidate records in sync across systems automatically, removing duplicate manual entry.
• Candidate communication — send automated status-update emails or texts triggered by ATS stage changes.
• Post-recruitment evaluation — pull hiring-funnel data (time-to-hire, source effectiveness) into reporting tools automatically.

The next section covers how to actually plan and build this kind of automation.

Process of automating the recruitment workflow with ATS APIs

1. Identify recruitment stages to automate

Start by mapping your current recruitment workflow stage by stage — job posting, sourcing, screening, interviews, offers, onboarding — and identifying which steps involve repetitive manual work: re-entering candidate data, manually updating statuses across tools, or sending the same notification emails. These are the steps where ATS API automation delivers the most value with the least risk, since they're rule-based and don't require human judgment.

2. Choose the ATS APIs

Once you know which stages to automate, identify which ATS (or ATSs) your workflow needs to connect to. If you're building a product used by multiple companies — each potentially on a different ATS like Greenhouse, Lever, or Workday — you'll either need to build and maintain a separate integration for each one, or use a unified API like Knit that provides one API across all of them. For example, a background-check platform integrating natively with five different ATS providers would need to learn and maintain five separate APIs, authentication methods, and data formats — versus one integration with a unified API.

3. Obtain the necessary API credentials from the ATS provider

Each ATS has its own way of issuing API access — OAuth 2.0 (most common), API keys, or in some cases username/password-based authentication. You'll need to register an application with the ATS provider (or have your customer do so), request the appropriate scopes for the data you need (candidates, jobs, applications, interviews), and securely store the resulting credentials. For OAuth-based APIs, you'll also need to handle token refresh so access doesn't expire mid-sync.

4. Integrate with the ATS APIs

With credentials in place, connect to the ATS API endpoints for the objects relevant to your automated stages — for example, listening for application status changes via webhooks (or polling if webhooks aren't supported), and writing back updates like interview schedules or offer statuses. As a concrete example: when a candidate's status changes to "Interview Scheduled" in the ATS, your integration could automatically create a calendar event and send a confirmation email — without a recruiter touching either system.

5. Monitor, manage and maintain your ATS APIs

ATS APIs change over time — providers deprecate endpoints, update rate limits, or modify data formats. Once your automation is live, you'll need to monitor for failed syncs, expired tokens, and API errors, and have a process for resolving them before they cause data to fall out of sync between systems. This becomes more demanding as you add more ATS providers, since each can change independently.

6. Optimize processes

As your automation runs, look for stages where the rules need refining — for example, candidate data that maps imperfectly between your system's fields and the ATS's fields, or notification rules that fire too often or not often enough. Treat the initial automation as a starting point, and revisit it periodically as your recruitment process or the ATS provider's API evolves.

Limitations of using different ATS APIs for automating recruitment workflow

While using multiple ATS APIs to power different functionalities is enticing, it can be challenging and a major burden on your engineering and other teams. Here are a few limitations you might face while trying to integrate different ATS APIs for recruitment workflow automation.

1. Scale and optimization challenges

Building a direct integration with a single ATS provider's API is a meaningful engineering investment — handling that provider's authentication, data model, rate limits, and edge cases typically takes several weeks of development time. The challenge is that this effort doesn't scale linearly: supporting a second ATS provider means repeating much of that work against a completely different API, and a platform that needs to support the range of ATS providers used across its customer base can end up maintaining a dozen or more separate integrations, each with its own quirks and ongoing maintenance burden. (The next section covers how a unified API removes this multiplication effect.)

2. Data transformation challenges

Every ATS structures candidate, job, and application data differently — field names, required fields, and even basic concepts like "application stage" vary from provider to provider. Without a normalization layer, your application needs custom mapping logic for each ATS, and that logic needs to be updated whenever a provider changes their data model.

3. Data synchronization challenges

Keeping data in sync across multiple systems — the ATS, your application, possibly an HRIS — requires either polling each API on a schedule (which introduces delay and consumes rate limits) or building webhook handlers for each provider that supports them. A mismatch here is what causes the common problem of one system showing a candidate as "Offered" while another still shows "Screening."

4. Monitoring and management

Each direct integration needs its own monitoring for failed requests, expired credentials, and rate-limit errors. As the number of ATS integrations grows, so does the operational overhead of tracking which integrations are healthy and which need attention — often without a single place to see the status of all of them.

5. Compliance and security challenges

Recruitment data includes sensitive candidate information — resumes, assessment results, background checks, and sometimes demographic data collected for compliance reporting. Each direct ATS integration is another place this data flows through and potentially gets stored, which means another system to secure, audit, and keep compliant with regulations like GDPR.

6. Custom workflows

Different customers — or different teams within the same company — often want different automation rules; one might want offer letters triggered automatically, while another wants a manual approval step first. Supporting this kind of customization across multiple direct ATS integrations means building and maintaining configuration logic separately for each provider.

How Knit helps automate ATS recruitment workflows

There are generally three ways to approach ATS integration: native integrations, where you build and maintain a direct connection to each ATS's API; API/iPaaS tools, which provide pre-built connectors and workflow automation across many apps but are generally aimed at internal operations rather than embedded product integrations; and unified APIs, which provide one normalized API and data model across many ATS platforms. Knit's Unified API falls into this last category — and on top of that same infrastructure, Knit also offers an Integrations Agent that lets you build recruitment automations by describing them in plain English, with no integration code at all. Here's how each piece addresses the challenges from the previous section.

1. Build recruitment automations in plain English with Knit's Integrations Agent

Knit's Integrations Agent is a natural-language workflow builder: you describe an automation, and it connects the relevant tools, configures the workflow, and makes it live — no code needed. It supports two kinds of workflows — data sync (one-way or bidirectional syncing of records between systems, like keeping candidate records aligned between an ATS and a CRM) and orchestration (multi-step automations triggered by an event).

In a recruitment context, this could look like:

• "When a candidate moves to 'Hired' in [ATS], create an employee record in [HRIS]" — automates the handoff from recruiting to onboarding instead of a recruiter re-entering the new hire's details.
• "If a candidate's resume match score crosses 90% in [ATS], send me a Slack notification so I can schedule an interview right away" — surfaces strong candidates to the hiring manager without anyone checking the ATS manually.
• "Notify me on Slack whenever a new interview is scheduled" — keeps interviewers and hiring panels in the loop without manual status checks.

These are starting points, not a fixed menu — since the Agent builds the workflow from a description rather than a template, what you can automate is shaped by what your recruiting team can describe, for recruiters, hiring managers, and interview panels alike. Try the Integrations Agent.

2. The infrastructure underneath: a normalized Unified ATS API

Both the Integrations Agent and Knit's Unified API run on the same normalized data model across ATS platforms — candidates, jobs, applications, interviews, and offers are represented consistently regardless of which ATS is in use. This is what lets an automation (whether built through the Agent or directly against the API) work the same way across Greenhouse, Lever, Workday, or any of the 20+ ATS platforms Knit supports, and what lets Knit add new ATS providers without requiring new integration work from your team. For data that doesn't fit the standard model, custom fields preserve provider-specific data instead of dropping it.

3. Real time data sync

Knit syncs data via event-based webhooks rather than scheduled polling — when a candidate's status changes in the ATS, the update is available in real time, whether it's consumed by an Integrations Agent workflow or by your own application via the API. For ATS providers that don't natively support webhooks, Knit provides virtual webhooks that replicate this real-time behavior, so automation logic doesn't need to know which providers support webhooks natively and which don't.

4. Enterprise-grade security

Knit is the only unified API in the market that does not store a copy of your end users' data on its servers — it operates as a pass-through proxy, processing data on its application servers and sending it directly onward (whether to your application via webhooks or to an Integrations Agent workflow), without retaining a database of candidate or employee records. All data Knit processes is doubly encrypted: AES-256 at rest and TLS 1.3 in transit, with an additional layer of application-level encryption for PII and credentials. Authentication to each ATS — OAuth, API key, or username/password, depending on the provider — is handled by Knit. Knit is also SOC2, GDPR, and ISO27001 certified, with continuously monitored infrastructure and 24/7 support.

5. Easy integration management

Knit's dashboard gives you a single place to see the status of every ATS integration — including Logs, Issues, Integrated Accounts, and Syncs — instead of needing separate monitoring for each provider's API. When something does go wrong (an expired token, a changed field, a rate limit), the Issues page surfaces it with enough detail to resolve it quickly — whether that integration is powering an Integrations Agent workflow or a custom application.

TL:DR

ATS APIs let you automate large parts of a recruitment workflow — job posting, candidate sourcing and screening, interview scheduling, assessments, offers, onboarding, and reporting. The process of building this automation involves identifying which stages to automate, choosing and connecting to the right ATS APIs, and monitoring and refining the integration over time.

The catch is that doing this directly across multiple ATS providers doesn't scale well — each one has its own data model, authentication, and quirks, and the engineering and maintenance burden multiplies with every additional ATS. Knit's Unified API removes most of that overhead: one API, one normalized data model, real-time sync via webhooks (including for providers without native webhook support), and a single dashboard for managing every integration — all without storing a copy of your candidates' data. And if you'd rather not write any integration code at all, Knit's Integrations Agent lets you build these recruitment automations — like creating an employee record on "Hired" or pinging Slack on a high resume-match score — by describing them in plain English.

FAQs

What is an ATS API?

An ATS API (Applicant Tracking System API) is a set of endpoints that lets external applications read and write data in an ATS — things like job postings, candidate profiles, application statuses, interview feedback, and offers. Knit's unified ATS API normalizes these endpoints across 20+ ATS platforms into a single integration, so a product team doesn't need to learn each ATS's individual API. Most ATS APIs support core objects like jobs, candidates, applications, and interviews, and many provide webhooks or polling-based events so connected systems can stay updated as a candidate moves through the pipeline. Developers typically use an ATS API to sync candidate data into a CRM, automate status notifications, or trigger workflows in HRIS systems once a candidate is hired.

Can I automate ATS recruitment workflows without writing any code?

Yes — Knit's Integrations Agent lets you build ATS recruitment automations by describing them in plain English; it connects the relevant tools, configures the workflow, and makes it live without requiring code. It supports both data-sync workflows (for example, keeping candidate records aligned between an ATS and an HRIS) and multi-step orchestration workflows (for example, when a candidate is marked "Hired" in the ATS, automatically create an employee record in the HRIS and notify the hiring manager on Slack). The Agent runs on the same normalized ATS data model as Knit's Unified API, so it works consistently across 20+ ATS platforms — making it a good fit for recruiting teams that want to set up automations themselves without involving engineering.

What's the difference between ATS integration and automating a recruitment workflow with ATS APIs?

ATS integration refers to the general practice of connecting an Applicant Tracking System to other tools — HRIS, job boards, CRMs, communication platforms — so data flows between them; Knit's guide to ATS integration covers the concepts and approaches in depth. Automating a recruitment workflow with ATS APIs is the applied version of that: using those connections to handle specific repetitive steps automatically, like posting jobs, syncing candidate records, scheduling interviews, and triggering onboarding once someone is hired. In short, ATS integration is the "how you connect" question, and recruitment workflow automation is the "what you do with that connection" question — this post focuses on the latter.

What are the requirements for integrating with an ATS API?

Integrating with an ATS API typically requires API credentials (an API key, OAuth client ID/secret, or username and password depending on the provider), defined scopes or permissions for the data you need (candidates, jobs, applications, interviews), and a way to handle authentication — including token refresh for OAuth-based APIs. You'll also need to map the ATS's data model to your own, since field names and structures vary significantly between providers. For real-time updates, you'll need either webhook support from the ATS or a polling strategy. Knit handles these requirements across 20+ ATS platforms through a single set of credentials and a normalized data model, including virtual webhooks for providers that don't natively support them.

What's an example of automating a recruitment workflow with an ATS API?

A common example: when a recruiter moves a candidate to "Offer" status in the ATS, an ATS API webhook (or polling check) detects the change and automatically triggers offer-letter generation in a separate e-sign tool, notifies the hiring manager via Slack or email, and creates a pending-employee record in the HRIS so onboarding can begin once the offer is accepted. Without automation, each of these steps would require a recruiter to manually update three or four separate systems. With Knit's unified ATS API, this kind of workflow can be built once against a single integration layer and applied across every ATS a platform supports, rather than rebuilt for each one.

What are the different ways to integrate with an ATS — native integrations, iPaaS, or a unified API?

There are generally three approaches to ATS integration: native integrations, where a platform builds and maintains a direct, one-off connection to a specific ATS's API; API/iPaaS tools like Workato, which provide pre-built connectors and workflow automation across many apps but are typically aimed at internal ops teams rather than embedded product integrations; and unified APIs like Knit, which provide one normalized API and data model across many ATS platforms, so a product team integrates once and gets access to every supported ATS. Native integrations offer the most control but the highest maintenance burden as you add more ATS platforms; unified APIs trade some of that low-level control for significantly less integration and maintenance work.

How does a unified API keep ATS and HRIS data in sync in real time?

Knit keeps ATS and HRIS data in sync through event-based webhooks rather than scheduled batch syncs — when a candidate's status changes in the ATS (for example, moving from "Interviewing" to "Offered"), Knit detects the change and pushes an update to your application in real time, rather than waiting for the next polling cycle. For ATS or HRIS platforms that don't natively support webhooks, Knit provides virtual webhooks that simulate this real-time behavior by checking for changes on your behalf. This is what prevents the common problem of one system showing a candidate as "Offered" while another still shows "Screening" — both systems receive the update at effectively the same time.

Does Knit support integrating with multiple ATS platforms through one API?

Yes — Knit's unified ATS API connects to 20+ Applicant Tracking Systems through a single integration, normalizing each provider's data model (candidates, jobs, applications, interviews, offers) into one consistent format. Instead of building and maintaining separate integrations for each ATS your customers use — each with its own authentication method, data structure, and rate limits — you integrate once against Knit's API and gain access to every supported ATS, with new platforms added to the unified API over time. This is particularly useful for HR tech, recruiting software, and staffing platforms whose customers each use a different ATS.

How secure is candidate and employee data when using a unified API like Knit?

Knit is the only unified API in the market that does not store a copy of your end users' data on its servers — it operates as a pass-through proxy, processing data and sending it directly to your application via webhooks. All data Knit processes is encrypted with AES-256 at rest and TLS 1.3 in transit, with an additional layer of application-level encryption for PII and credentials. Knit is also SOC2, GDPR, and ISO27001 certified, with continuously monitored infrastructure and 24/7 support. For recruitment workflows handling sensitive candidate data — resumes, assessment results, background check data — this means that data isn't sitting in a second database you also have to secure.

Related: ATS Integration: An In-Depth Guide With Key Concepts, Benefits, and How to Get Started — for readers who want to understand what ATS integration means and the different approaches before diving into automation.

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Auto provisioning is the automated creation, update, and removal of user accounts when a source system - usually an HRIS, ATS, or identity provider - changes. For B2B SaaS teams, it turns employee lifecycle events into downstream account creation, role assignment, and deprovisioning workflows without manual imports or ticket queues. Knit's Unified API connects HRIS, ATS, and other upstream systems to your product so you can build this workflow without stitching together point-to-point connectors.

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If your product depends on onboarding employees, assigning access, syncing identity data, or triggering downstream workflows, provisioning cannot stay manual for long.

That is why auto provisioning matters.

For B2B SaaS, auto provisioning is not just an IT admin feature. It is a core product workflow that affects activation speed, compliance posture, and the day-one experience your customers actually feel. At Knit, we see the same pattern repeatedly: a team starts by manually creating users or pushing CSVs, then quickly runs into delays, mismatched data, and access errors across systems.

In this guide, we cover:

• What auto provisioning is and how it differs from manual provisioning
• How an automated provisioning workflow works step by step
• Which systems and data objects are involved
• Where SCIM fits — and where it is not enough
• Common implementation failures
• When to build in-house and when to use a unified API layer

What is auto provisioning?

Auto provisioning is the automated creation, update, and removal of user accounts and permissions based on predefined rules and source-of-truth data. The provisioning trigger fires when a trusted upstream system — an HRIS, ATS, identity provider, or admin workflow — records a change: a new hire, a role update, a department transfer, or a termination.

That includes:

• Creating a new user when an employee or customer record is created
• Updating access when attributes such as team, role, or location change
• Removing access when the user is deactivated or leaves the organization

This third step — account removal — is what separates a real provisioning system from a simple user-creation script. Provisioning without clean deprovisioning is how access debt accumulates and how security gaps appear after offboarding.

For B2B SaaS products, the provisioning flow typically sits between a source system that knows who the user is, a policy layer that decides what should happen, and one or more downstream apps that need the final user, role, or entitlement state.

Why auto provisioning matters for SaaS products

Provisioning is not just an internal IT convenience.

For SaaS companies, the quality of the provisioning workflow directly affects onboarding speed, time to first value, enterprise deal readiness, access governance, support load, and offboarding compliance. If enterprise customers expect your product to work cleanly with their Workday, BambooHR, or ADP instance, provisioning becomes part of the product experience — not just an implementation detail.

The problem is bigger than "create a user account." It is really about:

• Using the right source of truth (usually the HRIS, not a downstream app)
• Mapping user attributes correctly across systems with different schemas
• Handling role logic without hardcoding rules that break at scale
• Keeping downstream systems in sync when the source changes
• Making failure states visible and recoverable

When a new employee starts at a customer's company and cannot access your product on day one, that is a provisioning problem — and it lands in your support queue, not theirs.

How auto provisioning works - step by step

Most automated provisioning workflows follow the same pattern regardless of which systems are involved.

1. A source system changes

The signal may come from an HRIS (a new hire created in Workday, BambooHR, or ADP), an ATS (a candidate hired in Greenhouse or Ashby), a department or role change, or an admin action that marks a user inactive. For B2B SaaS teams building provisioning into their product, the most common source is the HRIS — the system of record for employee status.

2. The system detects the event

The trigger may come from a webhook, a scheduled sync, a polling job, or a workflow action taken by an admin. Most HRIS platforms do not push real-time webhooks natively - which is why Knit provides virtual webhooks that normalize polling into event-style delivery your application can subscribe to.

3. User attributes are normalized

Before the action is pushed downstream, the workflow normalizes fields across systems. Common attributes include user ID, email, team, location, department, job title, employment status, manager, and role or entitlement group. This normalization step is where point-to-point integrations usually break — every HRIS represents these fields differently.

4. Provisioning rules are applied

This is where the workflow decides whether to create, update, or remove a user; which role to assign; which downstream systems should receive the change; and whether the action should wait for an approval or additional validation. Keeping this logic outside individual connectors is what makes the system maintainable as rules evolve.

5. Accounts and access are provisioned downstream

The provisioning layer creates or updates the user in downstream systems and applies app assignments, permission groups, role mappings, team mappings, and license entitlements as defined by the rules.

6. Status and exceptions are recorded

Good provisioning architecture does not stop at "request sent." You need visibility into success or failure state, retry status, partial completion, skipped records, and validation errors. Silent failures are the most common cause of provisioning-related support tickets.

7. Deprovisioning is handled just as carefully

When a user becomes inactive in the source system, the workflow should trigger account disablement, entitlement removal, access cleanup, and downstream reconciliation. Provisioning without clean deprovisioning creates a security problem and an audit problem later. This step is consistently underinvested in projects that focus only on new-user creation.

Systems and data objects involved

Provisioning typically spans more than two systems. Understanding which layer owns what is the starting point for any reliable architecture.

The most important data objects are usually: user profile, employment or account status, team or department, location, role, manager, entitlement group, and target app assignment.

When a SaaS product needs to pull employee data or receive lifecycle events from an HRIS, the typical challenge is that each HRIS exposes these objects through a different API schema. Knit's Unified HRIS API normalizes these objects across 60+ HRIS and payroll platforms so your provisioning logic only needs to be written once.

Manual vs. automated provisioning

Manual provisioning breaks first in enterprise onboarding. The more users, apps, approvals, and role rules involved, the more expensive manual handling becomes. Enterprise buyers — especially those running Workday or SAP — will ask about automated provisioning during the sales process and block deals where it is missing.

Where SCIM fits in an automated provisioning strategy

SCIM (System for Cross-domain Identity Management) is a standard protocol used to provision and deprovision users across systems in a consistent way. When both the identity provider and the SaaS application support SCIM, it can automate user creation, attribute updates, group assignment, and deactivation without custom integration code.

But SCIM is not the whole provisioning strategy for most B2B SaaS products. Even when SCIM is available, teams still need to decide what the real source of truth is, how attributes are mapped between systems, how roles are assigned from business rules rather than directory groups, how failures are retried, and how downstream systems stay in sync when SCIM is not available.

The more useful question is not "do we support SCIM?" It is: do we have a reliable provisioning workflow across the HRIS, ATS, and identity systems our customers actually use? For teams building that workflow across many upstream platforms, Knit's Unified API reduces that to a single integration layer instead of per-platform connectors.

SAML auto provisioning vs. SCIM

SAML and SCIM are often discussed together but solve different problems. SAML handles authentication — it lets users log into your application via their company's identity provider using SSO. SCIM handles provisioning — it keeps the user accounts in your application in sync with the identity provider over time. SAML auto provisioning (sometimes called JIT provisioning) creates a user account on first login; SCIM provisioning creates and manages accounts in advance, independently of whether the user has logged in.

For enterprise customers, SCIM is generally preferred because it handles pre-provisioning, attribute sync, group management, and deprovisioning. JIT provisioning via SAML creates accounts reactively and cannot handle deprovisioning reliably on its own.

Common implementation failures

Provisioning projects fail in familiar ways.

The wrong source of truth. If one system says a user is active and another says they are not, the workflow becomes inconsistent. HRIS is almost always the right source for employment status — not the identity provider, not the product itself.

Weak attribute mapping. Provisioning logic breaks when fields like department, manager, role, or location are inconsistent across systems. This is the most common cause of incorrect role assignment in enterprise accounts.

No visibility into failures. If a provisioning job fails silently, support only finds out when a user cannot log in or cannot access the right resources. Observability is not optional.

Deprovisioning treated as an afterthought. Teams often focus on new-user creation and underinvest in access removal — exactly where audit and security issues surface. Every provisioning build should treat deprovisioning as a first-class requirement.

Rules that do not scale. A provisioning script that works for one HRIS often becomes unmanageable when you add more target systems, role exceptions, conditional approvals, and customer-specific logic. Abstraction matters early.

Native integrations vs. unified APIs for provisioning

When deciding how to build an automated provisioning workflow, SaaS teams typically evaluate three approaches:

Native point-to-point integrations mean building a separate connector for each HRIS or identity system. This offers maximum control but creates significant maintenance overhead as each upstream API changes its schema, authentication, or rate limits.

Embedded iPaaS platforms (like Workato or Tray.io embedded) let you compose workflows visually. These work well for internal automation but add a layer of operational complexity when the workflow needs to run reliably inside a customer-facing SaaS product.

Unified API providers like Knit normalize many upstream systems into a single API endpoint. You write the provisioning logic once and it works across all connected HRIS, ATS, and other platforms. This is particularly effective when provisioning depends on multiple upstream categories — HRIS for employee status, ATS for new hire events, identity providers for role mapping. See how Knit compares to other approaches in our Native Integrations vs. Unified APIs guide.

Auto provisioning and AI agents

As SaaS products increasingly use AI agents to automate workflows, provisioning becomes a data access question as well as an account management question. An AI agent that needs to look up employee data, check role assignments, or trigger onboarding workflows needs reliable access to HRIS and ATS data in real time.

Knit's MCP Servers expose normalized HRIS, ATS, and payroll data to AI agents via the Model Context Protocol — giving agents access to employee records, org structures, and role data without custom tooling per platform. This extends the provisioning architecture into the AI layer: the same source-of-truth data that drives user account creation can power AI-assisted onboarding workflows, access reviews, and anomaly detection. Read more in Integrations for AI Agents.

When to build auto provisioning in-house

Building in-house can make sense when the number of upstream systems is small (one or two HRIS platforms), the provisioning rules are deeply custom and central to your product differentiation, your team is comfortable owning long-term maintenance of each upstream API, and the workflow is narrow enough that a custom solution will not accumulate significant edge-case debt.

When to use a unified API layer

A unified API layer typically makes more sense when customers expect integrations across many HRIS, ATS, or identity platforms; the same provisioning pattern repeats across customer accounts with different upstream systems; your team wants faster time to market on provisioning without owning per-platform connector maintenance; and edge cases — authentication changes, schema updates, rate limits — are starting to spread work across product, engineering, and support.

This is especially true when provisioning depends on multiple upstream categories. If your provisioning workflow needs HRIS data for employment status, ATS data for new hire events, and potentially CRM or accounting data for account management, a Unified API reduces that to a single integration contract instead of three or more separate connectors.

Final takeaway

Auto provisioning is not just about creating users automatically. It is about turning identity and account changes in upstream systems — HRIS, ATS, identity providers — into a reliable product workflow that runs correctly across every customer's tech stack.

For B2B SaaS, the quality of that workflow affects onboarding speed, support burden, access hygiene, and enterprise readiness. The real standard is not "can we create a user." It is: can we provision, update, and deprovision access reliably across the systems our customers already use — without building and maintaining a connector for every one of them?

Frequently asked questions

What is auto provisioning?Auto provisioning is the automatic creation, update, and removal of user accounts and access rights when a trusted source system changes — typically an HRIS, ATS, or identity provider. In B2B SaaS, it turns employee lifecycle events into downstream account creation, role assignment, and deprovisioning workflows without manual imports or admin tickets.

What is the difference between SAML auto provisioning and SCIM?SAML handles authentication — it lets users log into an application via SSO. SCIM handles provisioning — it keeps user accounts in sync with the identity provider over time, including pre-provisioning and deprovisioning. SAML JIT provisioning creates accounts on first login; SCIM manages the full account lifecycle independently of login events. For enterprise use cases, SCIM is the stronger approach for reliability and offboarding coverage.

What is the main benefit of automated provisioning?The main benefit is reliability at scale. Automated provisioning eliminates manual import steps, reduces access errors from delayed updates, ensures deprovisioning happens when users leave, and makes the provisioning workflow auditable. For SaaS products selling to enterprise customers, it also removes a common procurement blocker.

How does HRIS-driven provisioning work?HRIS-driven provisioning uses employee data changes in an HRIS (such as Workday, BambooHR, or ADP) as the trigger for downstream account actions. When a new employee is created in the HRIS, the provisioning workflow fires to create accounts, assign roles, and onboard the user in downstream SaaS applications. When the employee leaves, the same workflow triggers deprovisioning. Knit's Unified HRIS API normalizes these events across 60+ HRIS and payroll platforms.

What is the difference between provisioning and deprovisioning?Provisioning creates and configures user access. Deprovisioning removes or disables it. Both should be handled by the same workflow — deprovisioning is not an edge case. Incomplete deprovisioning is the most common cause of access debt and audit failures in SaaS products.

Does auto provisioning require SCIM?No. SCIM is one mechanism for automating provisioning, but many HRIS platforms and upstream systems do not support SCIM natively. Automated provisioning can be built using direct API integrations, webhooks, or scheduled sync jobs. Knit provides virtual webhooks for HRIS platforms that do not support native real-time events, allowing provisioning workflows to be event-driven without requiring SCIM from every upstream source.

When should a SaaS team use a unified API for provisioning instead of building native connectors?A unified API layer makes more sense when the provisioning workflow needs to work across many HRIS or ATS platforms, the same logic should apply regardless of which system a customer uses, and maintaining per-platform connectors would spread significant engineering effort. Knit's Unified API lets SaaS teams write provisioning logic once and deploy it across all connected platforms, including Workday, BambooHR, ADP, Greenhouse, and others.

Want to automate provisioning faster?

If your team is still handling onboarding through manual imports, ticket queues, or one-off scripts, it is usually a sign that the workflow needs a stronger integration layer.

Knit connects SaaS products to HRIS, ATS, payroll, and other upstream systems through a single Unified API — so provisioning and downstream workflows do not turn into connector sprawl as your customer base grows.

• See how Knit's Unified API works
• Book a demo

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Introduction

In today's fast-evolving business landscape, companies are streamlining employee financial offerings, particularly in payroll-linked payments and leasing solutions. These include auto-leasing programs, payroll-based financing, and other benefits designed to enhance employee financial well-being.

By integrating directly with an organization’s Human Resources Information System (HRIS) and payroll systems, solution providers can offer a seamless experience that benefits both employers (B2B) and employees (B2C). This guide explores the importance of payroll integration, challenges businesses face, and best practices for implementing scalable solutions, with insights drawn from the B2B auto-leasing sector.

Why Payroll Integrations Matter for Leasing and Financial Benefits

Payroll-linked leasing and financing offer key advantages for companies and employees:

• Seamless Employee Benefits – Employees gain access to tax savings, automated lease payments, and simplified financial management.
• Enhanced Compliance – Automated approval workflows ensure compliance with internal policies and external regulations.
• Reduced Administrative Burden – Automatic data synchronization eliminates manual processes for HR and finance teams.
• Improved Employee Experience – A frictionless process, such as automatic payroll deductions for lease payments, enhances job satisfaction and retention.

Common Challenges in Payroll Integration

Despite its advantages, integrating payroll-based solutions presents several challenges:

• Diverse HR/Payroll Systems – Companies use various HR platforms (e.g., Workday, Successfactors, Bamboo HR or in some cases custom/ bespoke solutions), making integration complex and costly.
• Data Security & Compliance – Employers must ensure sensitive payroll and employee data are securely managed to meet regulatory requirements.
• Legacy Infrastructure – Many enterprises rely on outdated, on-prem HR systems, complicating real-time data exchange.
• Approval Workflow Complexity – Ensuring HR, finance, and management approvals in a unified dashboard requires structured automation.

Key Use Cases for Payroll Integration

Integrating payroll systems into leasing platforms enables:

• Employee Verification – Confirm employment status, salary, and tenure directly from HR databases.
• Automated Approvals – Centralized dashboards allow HR and finance teams to approve or reject leasing requests efficiently.
• Payroll-Linked Deductions – Automate lease or financing payments directly from employee payroll to prevent missed payments.
• Offboarding Triggers – Notify leasing providers of employee exits to handle settlements or lease transfers seamlessly.

End-to-End Payroll Integration Workflow

A structured payroll integration process typically follows these steps:

1. Employee Requests Leasing Option – Employees select a lease program via a self-service portal.
2. HR System Verification – The system validates employment status, salary, and tenure in real-time.
3. Employer Approval – HR or finance teams review employee data and approve or reject requests.
4. Payroll Setup – Approved leases are linked to payroll for automated deductions.
5. Automated Monthly Deductions – Lease payments are deducted from payroll, ensuring financial consistency.
6. Offboarding & Final Settlements – If an employee exits, the system triggers any required final payments.

Best Practices for Implementing Payroll Integration

To ensure a smooth and efficient integration, follow these best practices:

• Use a Unified API Layer – Instead of integrating separately with each HR system, employ a single API to streamline updates and approvals.
• Optimize Data Syncing – Transfer only necessary data (e.g., employee ID, salary) to minimize security risks and data load.
• Secure Financial Logic – Keep payroll deductions, financial calculations, and approval workflows within a secure, scalable microservice.
• Plan for Edge Cases – Adapt for employees with variable pay structures or unique deduction rules to maintain flexibility.

Key Technical Considerations

A robust payroll integration system must address:

• Data Security & Compliance – Ensure compliance with GDPR, SOC 2, ISO 27001, or local data protection regulations.
• Real-time vs. Batch Updates – Choose between real-time synchronization or scheduled batch processing based on data volume.
• Cloud vs. On-Prem Deployments – Consider hybrid approaches for enterprises running legacy on-prem HR systems.
• Authentication & Authorization – Implement secure authentication (e.g., SSO, OAuth2) for employer and employee access control.

Recommended Payroll Integration Architecture

A high-level architecture for payroll integration includes:

┌────────────────┐   ┌─────────────────┐
│ HR System      │   │ Payroll         │
│(Cloud/On-Prem) │ → │(Deduction Logic)│
└───────────────┘    └─────────────────┘
       │ (API/Connector)
       ▼
┌──────────────────────────────────────────┐
│ Unified API Layer                        │
│ (Manages employee data & payroll flow)   │
└──────────────────────────────────────────┘
       │ (Secure API Integration)
       ▼
┌───────────────────────────────────────────┐
│ Leasing/Finance Application Layer         │
│ (Approvals, User Portal, Compliance)      │
└───────────────────────────────────────────┘


A single API integration that connects various HR systems enables scalability and flexibility. Solutions like Knit offer pre-built integrations with 40+ HRMS and payroll systems, reducing complexity and development costs.

Actionable Next Steps

To implement payroll-integrated leasing successfully, follow these steps:

• Assess HR System Compatibility – Identify whether your target clients use cloud-based or on-prem HRMS.
• Define Data Synchronization Strategy – Determine if your solution requires real-time updates or periodic batch processing.
• Pilot with a Mid-Sized Client – Test a proof-of-concept integration with a client using a common HR system.
• Leverage Pre-Built API Solutions – Consider platforms like Knit for simplified connectivity to multiple HR and payroll systems.

Conclusion

Payroll-integrated leasing solutions provide significant advantages for employers and employees but require well-planned, secure integrations. By leveraging a unified API layer, automating approval workflows, and payroll deductions data, businesses can streamline operations while enhancing employee financial wellness.

For companies looking to reduce overhead and accelerate implementation, adopting a pre-built API solution can simplify payroll integration while allowing them to focus on their core leasing offerings. Now is the time to map out your integration strategy, define your data requirements, and build a scalable solution that transforms the employee leasing experience.

Ready to implement a seamless payroll-integrated leasing solution? Take the next step today by exploring unified API platforms and optimizing your HR-tech stack for maximum efficiency. To talk to our solutions experts at Knit you can reach out to us here

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How to Streamline Customer Support Integrations

Introduction

Seamless CRM and ticketing system integrations are critical for modern customer support software. However, developing and maintaining these integrations in-house is time-consuming and resource-intensive.

In this article, we explore how Knit’s Unified API simplifies customer support integrations, enabling teams to connect with multiple platforms—HubSpot, Zendesk, Intercom, Freshdesk, and more—through a single API.

Why Efficient Integrations Matter for Customer Support

Customer support platforms depend on real-time data exchange with CRMs and ticketing systems. Without seamless integrations:

• Support agents struggle with disconnected systems, slowing response times.
• Customers experience delays, leading to poor service experiences.
• Engineering teams spend valuable resources on custom API integrations instead of product innovation.

A unified API solution eliminates these issues, accelerating integration processes and reducing ongoing maintenance burdens.

Challenges of Building Customer Support Integrations In-House

Developing custom integrations comes with key challenges:

• Long Development Timelines – Every CRM or ticketing tool has unique API requirements, leading to weeks of work per integration.
• Authentication Complexities – OAuth-based authentication requires security measures that add to engineering overhead.
• Data Structure Variations – Different platforms organize data differently, making normalization difficult.
• Ongoing Maintenance – APIs frequently update, requiring continuous monitoring and fixes.
• Scalability Issues – Scaling across multiple platforms means repeating the integration process for each new tool.

Use Case: Automating Video Ticketing for Customer Support

For example a company offering video-assisted customer support where users can record and send videos along with support tickets. Their integration requirements include:

1. Creating a Video Ticket – Associating video files with support requests.
2. Fetching Ticket Data – Automatically retrieving ticket and customer details from Zendesk, Intercom, or HubSpot.
3. Attaching Video Links to Support Conversations – Embedding video URLs into CRM ticket histories.
4. Syncing Customer Data – Keeping user information updated across integrated platforms.

With Knit’s Unified API, these steps become significantly simpler.

How Knit’s Unified API Simplifies Customer Support Integrations

By leveraging Knit’s single API interface, companies can automate workflows and reduce development time. Here’s how:

1. User Records a Video → System captures the ticket/conversation ID.
2. Retrieve Ticket Details → Fetch customer and ticket data via Knit’s API.
3. Attach the Video Link → Use Knit’s API to append the video link as a comment on the ticket.
4. Sync Customer Data → Auto-update customer records across multiple platforms.

Knit’s Ticketing API Suite for Developers

Knit provides pre-built ticketing APIs to simplify integration with customer support systems:

• Tickets API – Retrieve, update, and manage support tickets.
• Comments API – Add and fetch ticket comments.
• Attachments API – Manage attachments, including videos.
• Contacts API – Sync customer profiles.
• Users API – Manage customer identities.
• Groups API – Assign tickets to support teams.
• Tags API – Categorize and track support tickets.
• Ticket Types API – Define different ticket structures.
• Accounts API – Manage customer accounts.

Best Practices for a Smooth Integration Experience

For a successful integration, follow these best practices:

• Utilize Knit’s Unified API – Avoid writing separate API logic for each platform.
• Leverage Pre-built Authentication Components – Simplify OAuth flows using Knit’s built-in UI.
• Implement Webhooks for Real-time Syncing – Automate updates instead of relying on manual API polling.
• Handle API Rate Limits Smartly – Use batch processing and pagination to optimize API usage.

Technical Considerations for Scalability

• Pass-through Queries – If Knit doesn’t support a specific endpoint, developers can pass through direct API calls.
• Optimized API Usage – Cache ticket and customer data to reduce frequent API calls.
• Custom Field Support – Knit allows easy mapping of CRM-specific data fields.

How to Get Started with Knit

1. Sign Up on Knit’s Developer Portal.
2. Integrate the Universal API to connect multiple CRMs and ticketing platforms.
3. Use Pre-built Authentication components for user authorization.
4. Deploy Webhooks for automated updates.
5. Monitor & Optimize integration performance.

Streamline your customer support integrations with Knit and focus on delivering a world-class support experience!

📞 Need expert advice? Book a consultation with our team. Find time here

‍Supercharge Your EWA Platform: Seamless HRIS & Payroll Integrations with a Unified API

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Is your EWA platform struggling with complex HRIS and payroll integrations? You're not alone. Learn how a Unified API can automate data flow, ensure accuracy, and help you scale.

The EWA /On-demand Pay Revolution Demands Flawless Integration

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Earned Wage Access (EWA) is no longer a novelty; it's a core expectation. Employees want on-demand access to their earned wages, and employers rely on EWA to stand out. But the backbone of any successful EWA platform is its ability to seamlessly, securely, and reliably integrate with diverse HRIS and payroll systems.

This is where Knit, a Unified API platform, comes in. We empower EWA companies to build real-time, secure, and scalable integrations, turning a major operational hurdle into a competitive advantage.

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This post explores:

1. Why robust integrations are critical for EWA.
2. Common integration challenges EWA providers face.
3. A typical EWA integration workflow (and how Knit simplifies it).
4. Actionable best practices for successful implementation.

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Why HRIS & Payroll Integration is Non-Negotiable for EWA Platforms

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EWA platforms function by giving employees early access to wages they've already earned. To do this effectively, your platform must:

• Access Real-Time Data: Instantly retrieve accurate payroll, time(days / hours worked during the payperiod), and compensation information.
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• Securely Connect: Integrate with a multitude of employer HRIS and payroll systems without compromising security.
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• Automate Deductions: Reliably push wage advance data back into the employer's payroll to reconcile and recover advances.

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Seamless integrations are the bedrock of accurate deductions, compliance, a superior user experience, and your ability to scale across numerous employer clients without extending the risk of NPAs

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Common Integration Roadblocks for EWA Providers (And How to Overcome Them)

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Many EWA platforms hit the same walls:

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• Incomplete API Access: Many HR platforms lack comprehensive, real-time APIs, especially for critical functions like deductions
  
  
• "Assisted" Integration Delays: Relying on third-party integrators (e.g., Finch using slower methods for some systems) can mean days-long delays in processing deductions. For example if you're working with a client that does weekly payroll and the data flow itself takes a week, it can be a deal breaker
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• Manual Workarounds & Errors: Sending aggregated deduction reports manually to employers? This introduces friction, delays, and a high risk of human error.
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• Inconsistent System Behaviors: Deduction functionalities vary wildly. Some systems default deductions to "recurring," leading to unintended repeat transactions if not managed precisely.
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• API Rate Limits & Restrictions: Bulk unenrollments and re-enrollments, often used as a workaround for one-time deductions, can trigger rate limits or cause scaling issues.

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Knit's Approach: We tackle these head-on by providing direct, automated, real-time API integrations wherever they are supported by the payroll providers to ensure a seamless workflow

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Core EWA(Earned Wage Access)Use Case: Real-Time Payroll Integration for Accurate Wage Advances

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Let's consider "EarlyWages" (our example EWA platform). They need to integrate with their clients' HRIS/payroll systems to:

1. Read Data: Access employee payroll records and hours worked to calculate eligible EWA amounts.
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2. Calculate Withdrawals: Identify accurate amounts to be deducted for each employee that has taken services during this pay period
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3. Push Deductions: Send this deduction data back into the HRIS/payroll system for automated repayment and reconciliation.

Typical EWA On-Cycle Deduction Workflow (Simplified)

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Key Requirement: Deduction APIs must support one-time or dynamic frequencies and allow easy unenrollment to prevent rollovers.

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Key Payroll Integration Flows Powered by Knit

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Knit offers standardized, API-driven flows to streamline your EWA operations:

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1. Payroll Data Ingestion:
   • Fetch employee profiles, job types, compensation details.
   • Access current and historical pay stubs, and payroll run history.
2. Deductions API :
   • Create deductions at the company or employee level.
   • Dynamically enroll or unenroll employees from deductions.
3. Push to Payroll System:
   • Ensure deductions are precisely injected before the employer's payroll finalization deadline.
4. Monitoring & Reconciliation:
   • Fetch pay run statuses.
   • Identify if the deduction amount calculated pre run is the same as it shows up on a paystub after the payrun has happened

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Implementation Best Practices for Rock-Solid EWA Integrations

1. Treat Deductions as Dynamic: Always specify deductions as "one-time" or manage frequency flags meticulously to prevent recurring errors.
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2. Creative Workarounds (When Needed): If a rare HRIS lacks a direct deductions API, Knit can explore simulating deductions via "negative bonuses" or other compatible fields through its unified model or via a standardized csv export for clients to use
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3. ️ Build Fallbacks (But Aim for API First): While Knit focuses on 100% API automation, having an employer-side CSV upload as a last resort internal backup can be prudent for unforeseen edge cases
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4. Reconcile Proactively: After payroll runs, use Knit to fetch pay stub data and confirm accurate deduction application for each employee.
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5. ️ Unenroll Strategically: If a system necessitates using a "rolling" deduction plan, ensure automatic unenrollment post-cycle to prevent unintended carry-over deductions. Knit's one-time deduction capability usually avoids this.

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Key Technical Considerations with Knit

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• API Reliability: Knit is committed to fully automated integrations via official APIs. No assisted or manual workflows mean higher reliability.
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• Rate Limits: Knit's architecture is designed to manage provider rate limits efficiently, even when processing bulk enroll/unenroll API calls.
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• Security & Compliance: Paramount. Knit is SOC2 Type II, GDPR and ISO 27001 compliant and does not store any data.
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• Deduction Timing: Critical. Deductions must be committed before payroll finalization. Knit's real-time APIs facilitate this, but your EWA platform's processes must align.
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• Regional Variability: Deduction support and behavior can vary between geographies and even provider product versions (e.g., ADP Run vs. ADP Workforce Now). Knit's unified API smooths out many of these differences.

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Conclusion: Focus on Growth, Not Integration Nightmares

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EWA platforms like yours are transforming how employees access their pay. However, unique integration hurdles, especially around timely and accurate deductions, can stifle growth and create operational headaches.

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With Knit's Unified API, you unlock a flexible, performant, and secure HRIS and payroll integration foundation. It’s built for the real-time demands of modern EWA, ensuring scalability and peace of mind.

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Let Knit handle the integration complexities, so you can focus on what you do best: delivering exceptional Earned Wage Access services.

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To get started with Knit's unified Payroll API -You can sign up here or book a demo to talk to an expert

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If you want to unlock 40+ HRIS and ATS integrations with a single API key, check out Knit API‍

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With the rise of data-driven recruitment, it is imperative for each recruitment tool, including candidate sourcing and screening tools, to integrate with Applicant Tracking Systems (ATS) for enabling centralized data management for end users. 

However, there are hundreds of ATS applications available in the market today. To integrate with each one of these applications with different ATS APIs is next to impossible. 

That is why more and more recruitment tools are looking for a better (and faster) way to scale their ATS integrations. Unified ATS APIs are one such cost-effective solution that can cut down your integration building and maintenance time by 80%. 

Before moving on to how companies can leverage unified ATS API to streamline candidate sourcing and screening, let’s look at the workflow and how ATS API helps. 

Candidate sourcing and screening workflow

Here’s a quick snapshot of the candidate sourcing and screening workflow: 

1) Job posting/ data entry from job boards

Posting job requirements/ details about open positions to create widespread outreach about the roles you are hiring for. 

2) Candidate sourcing from different platforms/ referrals

Collecting and fetching candidate profiles/ resumes from different platforms—job sites, social media, referrals—to create a pool of potential candidates for the open positions.

3) Resume parsing 

Taking out all relevant data—skills, relevant experience, expected salary, etc. —from a candidate’s resume and updating it based on the company’s requirement in a specific format.

4) Profile screening

Eliminating profiles which are not relevant for the role by mapping profiles to the job requirements.  

5) Background checks 

Conducting a preliminary check to ensure there are no immediate red flags. 

6) Assessment, testing, interviews

Setting up and administering assessments, setting up interviews to ensure role suitability and collating evaluation for final decision making. 

7) Selection 

Sharing feedback and evaluation, communicating decisions to the candidates and continuing the process in case the position doesn’t close. 

How ATS API helps streamline candidate sourcing and screening

Here are some of the top use cases of how ATS API can help streamline candidate sourcing and screening.

Centralized data management and communication

All candidate details from all job boards and portals can be automatically collected and stored at one centralized place for communication and processing and future leverage. 

Automated profile import

ATS APIs ensure real time, automated candidate profile import, reducing manual data entry errors and risk of duplication. 

Customize screening workflows 

ATS APIs can help automate screening workflows by automating resume parsing and screening as well as ensuring that once a step like background checks is complete, assessments and then interview set up are triggered automatically. 

Automated candidate updates within the ATS in real time

ATS APIs facilitate real time data sync and event-based triggers between different applications to ensure that all candidate information available with the company is always up to date and all application updates are captured ASAP.  

Candidate engagement data, insights and patterns using ATS data

ATS APIs help analyze and draw insights from ATS engagement data — like application rate, response to job postings, interview scheduling — to finetune future screening.

Integrations with assessment, interview scheduling and onboarding applications

ATS API can further integrate with other assessment, interview scheduling and onboarding applications enabling faster movement of candidates across different  recruitment stages. 

Personalized outreach based on historical ATS data

ATS API integrations can help companies with automated, personalized and targeted outreach and candidate communication to improve candidate engagement, improve hiring efficiency and facilitate better employer branding. 

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Undoubtedly, using ATS API integration can effectively streamline the candidate sourcing and screening process by automating several parts of the way. However, there are several roadblocks to integrating ATS APIs at scale because of which companies refrain from leveraging the benefits that come along. Try our ROI calculator to see how much building integrations in-house can he.

In the next section we will discuss how to solve the common challenges for SaaS products trying to scale and accelerate their ATS integration strategy.

Addressing challenges of ATS API integration with Unified API

Let's discuss how the roadblocks can be removed with unified ATS API: just one API for all ATS integrations. Learn more about unified APIs here

Challenge 1: Loss of data during data transformation 

When data is being exchanged between different ATS applications and your system, it needs to be normalized and transformed. Since the same details from different applications can have different fields and nuances, chances are if not normalized well, you will end up losing critical data which may not be mapped to specific fields between systems. 

This will hamper centralized data storage, initiate duplication and require manual mapping not to mention screening workflow disruption. At the same time, normalizing each data field from each different API requires developers to understand the nuances of each API. This is a time and resource intensive process and can take months of developer time.

How unified ATS API solves this: One data model to prevent data loss

Unified APIs like Knit help companies normalize different ATS data by mapping different data schemas from different applications into a single, unified data model for all ATS APIs. Data normalization takes place in real time and is almost 10X faster, enabling companies to save tech bandwidth and skip the complex processes that might lead to data loss due to poor mapping.

Bonus: Knit also offers an custom data fields for data that is not included in the unified model, but you may need for your specific use case. It also allows you to to request data directly from the source app via its Passthrough Request feature. Learn more

Challenge 2: Delayed recruitment due to inability of real-time sync and bulk transfers

Second, some ATS API integration has a polling infrastructure which requires recruiters to manually request candidate data from time to time. This lack of automated data updation in real time can lead to delayed sourcing and screening of applicants, delaying the entire recruitment process. This can negatively impact the efficiency that is expected from ATS integration. 

Furthermore, Most ATS platforms receive 1000s of applications in a matter of a few minutes. The data load for transfer can be exceptionally high at times, especially when a new role is posted or there is any update.

As your number of integrated platforms increases, managing such bulk data transfers efficiently as well as eliminating delays becomes a huge challenge for engineering teams with limited bandwidth

How unified ATS API solves this: Sync data in real-time irrespective of data load/ volume

Knit as a unified ATS API ensures that you don’t lose out on even one candidate application or be delayed in receiving them. To achieve this, Knit works on a  webhooks based system with event-based triggers. As soon as an event happens, data syncs automatically via webhooks. 

Read: How webhooks work and how to register one?

Knit manages all the heavy lifting of polling data from ATS apps, dealing with different API calls, rate limits, formats etc. It automatically retrieves new applications from all connected ATS platforms, eliminating the need to make API calls or manual data syncs for candidate sourcing and screening. 

At the same time, Knit comes with retry and resiliency guarantees to ensure that no application is missed irrespective of the data load. Thus, handling data at scale. 

This ensures that recruiters get access to all candidate data in real time to fill positions faster with automated alerts as and when new applications are retrieved for screening. 

Challenge 3: Compliance and candidate privacy concerns

Since the ATS and other connected platforms have access to sensitive data, protecting candidate data from attacks, ensuring constant monitoring and right permission/ access is crucial yet challenging to put in practice.

How unified ATS API solves this: Secure candidate data effectively

Knit unified ATS API enables companies to effectively secure the sensitive candidate data they have access to in multiple ways. 

• First, all data is doubly encrypted, both at rest and in transit. At the same time, all PII and user credentials are encrypted with an additional layer of application security. 

• Second, having an events-driven webhooks architecture, Knit is the only unified ATS API which does not store any copy of the customer data in its server. Thus, reducing changes of data misuse further. 

• Third, Knit is GDPR, SOC II and ISO27001 compliant to make sure all industry security standards are met. So, there’s one less thing for you to worry about.

Challenge 4: Long deployment duration and resource intensive maintenance

Finally, ATS API integration can be a long drawn process. It can take 2 weeks to 3 months and thousands of dollars to build integration with  just a single ATS provider. 

With different end points, data models, nuances, documentation etc. ATS API integration can be a long deployment project, diverting away engineering resources from core functions.

It’s not uncommon for companies to lose valuable deals due to this delay in setting up customer requested ATS integrations. 

Furthermore, the maintenance, documentation, monitoring as well as error handling further drains engineering bandwidth and resources. This can be a major deterrent for smaller companies that need to scale their integration stack to remain competitive.  

How unified ATS API solves this: Instant scalability

A unified ATS API like Knit allows you to connect with 30+ ATS platforms in one go helping you expand your integration stack overnight. 

All you have to do is embed Knit’s UI component into your frontend once. All heavy lifting of auth, endpoints, credential management, verification, token generations, etc. is then taken care of by Knit. 

Other benefits of using a Unified ATS API

Fortunately, companies can easily address the challenges mentioned above and streamline their candidate sourcing and screening process with a unified ATS API. Here are some of the top benefits you get with a unified ATS API:

Effective monitoring and logging for all APIs

Once you have scaled your integrations, it can be difficult to monitor the health of each integration and stay on top of user data and security threats. Unified API like Knit provides a detailed Logs and Issues dashboard i.e. a one page overview of all your integrations, webhooks and API calls. With smart filtering options for Logs and Issues,  Knit helps you get a quick glimpse of the API's status, extract historical data and take necessary action as needed.

Extensive range of Read and Write APIs

Along with Read APIs, Knit also provides a range of Write APIs for ATS integrations so that you can not only fetch data from the apps, you can also update the changes — updating candidate’s stage, rejecting an application etc. — directly into the ATS application's system. See docs

Save countless developer hours and cost

For an average SaaS company, each new integration takes about 6 weeks to 3 months to build and deploy. For maintenance, it takes minimum of 10 developer hours per week. Thus, building each new integration in-house can cost a SaaS business ~USD 15,000. Imagine doing that for 30+ integrations or 200!

On the other hand, by building and maintaining integrations for you, Knit can bring down your annual cost of integrations by as much as 20X. Calculate ROI yourself

In short, an API aggregator is non negotiable if you want to scale your ATS integration stack without compromising valuable in-house engineering bandwidth.

How to improve your screening workflow with Knit unified ATS API

Get Job details from different job boards

Fetch job IDs from your users Applicant Tracking Systems (ATS) using Knit’s job data models along with other necessary job information such as departments, offices, hiring managers etc.

Get applicant details

Use the job ID to fetch all and individual applicant details associated with the job posting. This would give you information about the candidate such as contact details, experience, links, location, experience, current stage etc. These data fields will help you screen the candidates in one easy step.

Complete screening activities

Next is where you take care of screening activities on your end after getting required candidate and job details. Based on your use case, you parse CVs, conduct background checks and/or administer assessment procedures.

Push back results into the ATS

Once you have your results, you can progmmatically push data back directly within the ATS system of your users using Knit’s write APIs to ensure a centralized, seamless user experience. For example, based on screening results, you can —

• Update candidate stage using <update stage> API See docs
• Match scores for CV parsing or add a quick tag to your applicant See docs
• Reject an application See docs and much more

Thus, Knit ensures that your entire screening process is smooth and requires minimum intervention.

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Get started with Unified ATS API

If you are looking to quickly connect with 30+ ATS applications — including Greenhouse, Lever, Jobvite and more — get your Knit API keys today.

You may talk to our one of our experts to help you build a customized solution for your ATS API use case. 

The best part? You can also make a specific ATS integration request. We would be happy to prioritize your request. 

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Interview scheduling companies play an integral role in helping their partner organizations hire the right talent by streamlining the candidate communication and end-to-end interview process. 

The first step towards smooth interviews is getting a pool of candidates to choose from. Here, most companies rely on ATS or Application Tracking Systems to pull in candidate and job data. 

While building and maintaining all the ATS integrations is a tedious and resource-intensive process, it can be made simpler and faster with unified ATS APIs. We will get to that, first let’s look at all the use cases you can enable with ATS integrations.

ATS integration in interview scheduling workflow

Let’s quickly look at how ATS APIs can streamline the interview scheduling workflow. 

Step I: Integration setup

Essentially, the first step is to get the ATS integration in place leveraging popular ATS APIs. As an interview scheduling company, you can choose the appropriate approach to ATS integration via in-house integration building, embedded iPaaS, unified API or workflow automation tools. 

Read: Build vs Buy: Best way to build product integrations

Step II: Data synchronization

Once the integration setup is complete, data synchronization regarding the job requisition, interview schedule, candidate information can be commenced. 

This will ensure that whenever data from a new candidate is entered in the ATS, the interview scheduling company gets an automated alert to initiate the next steps to set up the interview and following processes. 

The right ATS integration approach will ensure that the interview scheduling company receives new candidate alerts automatically, without pushing for updates. 

Step III: Calendar and interview slot coordination

ATS APIs can help interview scheduling companies with real-time calendar and interview slot coordination. Once the applicant profile screening is complete and the profile has been shortlisted in the ATS, the interview scheduling company can automatically capture this update directly from the ATS app and identify potential slots for the interview based on the calendar availability for the candidate and the interviewer. 

Step IV: Candidate communication 

Once the interview slot has been decided, the interview scheduling company can extract ATS API data to automate interview invitations and reminders and even personalize candidate communication as per the role, position and context. 

The same information about the communication will be automatically updated in the ATS to ensure that the hiring organization using the API has a clear picture of the candidate status. 

Step V: Real time candidate status update

As soon as the interview is complete, the ATS API enables the interview scheduling company to update candidate status in real time. 

For instance, Knit WRITE APIs enable you to update candidate status about whether or not the candidate appeared for the interview, status in the interview process (selected, rejected, moved to next round, add notes etc.). See docs

This information is then reflected in real time in the ATS to help the HR and hiring managers understand where they stand for that particular position and whether they need to source more applications. 

Step VI: Interview feedback and evaluation

In addition to the status update, the ATS integration also enables the interview scheduling company to provide a detailed feedback and evaluation of the interview which can be captured directly in the ATS. 

In case the hiring organization prefers, they can share it with the candidate or keep it in their ATS records for future reference. 

Step VII: HR analytics 

Finally, the ATS integration can help interview scheduling companies  capture key hiring metrics and facilitate HR analytics. 

For instance, the integration can help capture the metrics including Application-to-Interview Conversion Rate, Interview Scheduling Efficiency, Interview-to-Hire Ratio, Time-to-Fill (TTF), Time-to-Hire (TTH), Offer Acceptance Rate, etc. 

Data from these metrics can help identify the gaps in the hiring process and facilitate better outcomes. 

ATS integration challenges

While scaling ATS integrations is crucial for any interview scheduling companies to close more deals, building and maintaining ATS integrations is not easy. Here’s why most companies struggle with scaling their integration efforts:

1. Data compatibility issues 

First, different ATS applications use different data fields, models and nuances, which may or may not be compatible with other ATS or even with the data models being used by the interview scheduling company. 

This can lead to data compatibility issues leading to larger bandwidth requirements to understand and use different ATS APIs, with the danger of data corruption as well. 

2. Candidate data sensitivity during transfer

Second, since both sides of the data transfer contain sensitive candidate information, the ATS integration must have robust security measures for authorization and authentication as well as others like rate limiting etc. to prevent unauthorized access or DDoS attacks, among others. 

With policies like GDPR and most recently the Digital Personal Data Protection (DPDP) law (in India), any data misuse can lead to serious repercussions, especially because ATS and hiring processes use a lot of personal candidate data. 

3. Engineering and maintenance costs with increasing number of ATS being used

Third, as you scale and onboard more customers, you will be bound to further ATS integrations to their preferred ATS application. 

The engineering and maintenance costs associated with adding more ATS applications can be huge and difficult to maintain in-house. Each integration can cost an average 10K USD or 3 months of developer time just to build and deploy.

This can dilute your engineering team’s bandwidth from focusing on the core product. Scalability with the growing number of ATS applications to be added can pose a resource and cost challenge. 

4. Vendor (ATS) coordination and cooperation

In addition to the engineering costs, scaling ATS integrations also comes with additional coordination and cooperation with the ATS vendors. 

When you are building and managing ATS integrations in-house you have to take care of coordinating with every ATS vendor in case of any error or challenge in data transfer, security, etc. This can be highly time consuming and counter productive. 

5. Limited real time update capabilities

Next, if you use a polling infrastructure to power your ATS integration, you will need to take care of the heavy lifting of polling data from ATS applications, dealing with different API calls and rate limits. 

Invariably, this will prevent you from accessing data in real time as soon as there is any update in candidate information or a new candidate is onboarded to the system. This can lead to delays in interview scheduling and missed opportunities. 

How  interview scheduling companies can 10X their growth with unified ATS API

While there are certain operational challenges to using ATS integrations, unified APIs like Knit, can help address all such challenges and even achieve 10X growth. 

Centralized data management with one data model 

Knit periodically pulls data from all connected ATS platforms and processes the data coming from different platforms in different formats to convert them to one unified data model. 

The heavy lifting of pulling data from various ATS apps, dealing with different API calls, rate limits, formats etc are completely taken care of by Knit. 

Real-time data sync for higher productivity

Depending on the infrastructure used, your data sync frequencies can be set. A webhook driven architecture will facilitate real time data sync without requiring you to initiate polling. 

For instance, Knit, having a 100% event-driven webhook architecture, refreshes data in real time by periodically pulling data from all connected ATS platforms and processes the data coming from different platforms in different formats to convert them to our unified model. As a result, you won’t have to manage any polling infrastructure on your end or worry about missing any critical data update.

Faster time to market with quick deployment

Adding an ATS integration can take anywhere from a few weeks to several months. But, with a unified API, you can add multiple ATS integrations in as little as one day. 

This quick deployment ensures that you are able to leverage the benefits of ATS integration faster. 

Easy scalability to integrate with multiple ATS APIs in one go

Not only is deployment faster with unified API, it also supports accelerated and unlimited scalability. You can connect with various ATS applications in one go. 

For example, as an interview scheduling company, you can simply embed the Knit’s UI component in your frontend to get access to the  full catalog of 20+ ATS applications, regardless of the auth type, credentials, nuances for the application. 

All credential management, verification, token generations become the responsibility of Knit in this case.

Not only that, each time a new app is integrated to the Knit’s ATS API category, you get immediate access and sync capabilities with the new app without writing a single line of code. Get your Knit unified ATS API key now! (Start for free)

Better reporting and analytics to manage integrations seamlessly

Reporting and analytics with a unified API like Knit can help facilitate high customer satisfaction. 

For instance, Knit allows interview scheduling companies to monitor and manage the health of all ATS  integrations for each connected customer using a detailed Logs, Issues, Integrated Accounts and Syncs page. 

Companies can keep track of all API calls, data syncs and requests made by users as well as status of each webhook registered on a single dashboard. 

Enhanced security 

A unified API helps interview scheduling companies facilitate better security and data privacy. 

For instance, Knit fosters double encryption for data—when it is at rest as well as when it is in transit.

At the same time, most unified APIs comply with the key security protocols such as HIPAA, SOC2, GDPR etc and ensure constant monitoring with top intrusion detection systems. A unified API generally supports all forms of authentication like OAuth, API key or a username-password based authentication. 

Note: As a unified API, Knit goes a step further to promote end user security. Knit is the only unified API which considers your data sacrosanct and doesn’t store a copy of your data. The syncs happen over a 100% webhook-based architecture for enhanced data security. Furthermore, an additional layer of application security protects and prevents all PII from any security vulnerabilities. Learn more

Expand market reach and serve more customers

By providing instant ATS integration with multiple ATS applications, interview scheduling companies can leverage unified APIs to expand their market reach and acquire new customers.

They no longer have to worry about missed opportunities or make their prospects wait till they are able to build new ATS integrations. 

This allows interview scheduling companies to close deals faster and serve a higher number of customers, leading to increased revenue and greater profitability. 

What else do you get with Knit Unified API?

Interview scheduling companies using Knit as their unified API for ATS integration automatically retrieve new applications from all connected ATS platforms. 

Knit pulls the data and sends the relevant data to the interview scheduling tool, reducing the need for making API calls or manually starting data syncs. Owing to the webhooks architecture, Knit ensures high scalability and delivery, irrespective of the data load. 

You control when data syncs happen

While Knit supports real time data sync, it also allows users to control when syncs happen, which can be set by the CX team directly from the dashboard, without involving engineering resources. 

Furthermore, filters can be set on the information being retrieved from the source system to only consume the relevant data to save network cost and storage cost.

Get started with ATS APIs

Staying on top of ATS integrations can be overwhelming and time consuming due to the sheer number of the ATS APIs available in the market today. 

Knit helps you integrate with 30+ ATS and HR applications with a single unified API. Plus, we have built Knit with a developer friendly setup which requires minimal coding and maximum onboarding support. 

If you want to know more about Knit, talk to one of our experts or try our unified ATS API yourself, today. (Getting started is completely free)