How to Sync ATS and HRIS Data Using Make.com: Step-by-Step Guide

The hand-off between your Applicant Tracking System and your Human Resources Information System is the highest-risk data transfer in your entire HR tech stack. It happens at the worst possible moment — when a candidate has just accepted an offer and your team is racing to get them onboarded — and it almost always involves manual re-keying of data that already exists in a digital system. That re-keying is where the errors live. For a deeper look at the broader architecture decisions that surround this integration, start with the HR automation migration masterclass that frames the full migration context. This guide drills into one specific operation: building a reliable, auditable, zero-loss sync between your ATS and HRIS using Make.com™.

Manual ATS-to-HRIS transfers cost organizations more than time. Parseur’s Manual Data Entry Report puts the fully-loaded cost of a manual data entry employee at roughly $28,500 per year when error correction, rework, and oversight time are factored in. SHRM research consistently shows that onboarding failures — many of which trace back to system data errors — drive early turnover at disproportionate rates. And as McKinsey Global Institute has documented, knowledge workers spend a significant share of their week on low-value data handling that automation can eliminate entirely. This guide gives you the architecture to eliminate that exposure.

Before You Start

Do not open your automation platform until all five of these prerequisites are in place. Skipping them is the reason most ATS-HRIS integrations require a full rebuild within six months.

• Time commitment: Allow two to four hours for the initial build and one to two weeks for parallel validation. The scenario itself builds quickly; the validation phase is where you earn confidence.
• System access: You need admin or developer access to both your ATS and your HRIS, plus the ability to generate API keys or OAuth credentials in each. If that access requires a ticket to IT, open it before you start.
• Data governance sign-off: Automated data transfers between HR systems almost always fall under your data processing agreements and applicable privacy law (GDPR, CCPA, or sector-specific frameworks). Get written confirmation from your legal or compliance team that the transfer is permitted and logged before you push a single record.
• Stakeholder alignment: Your ATS administrator and your HRIS administrator must both participate in the field-mapping session. They will disagree on at least one field definition. That disagreement needs to be resolved before the build, not after go-live.
• Error escalation path: Decide now who receives failure alerts, how fast they must respond, and what the manual fallback process is. A sync that fails silently is more dangerous than no sync at all.

Step 1 — Document Your Data Map Before Touching Any Tool

Your field-level translation table is the single most important artifact in this project. Build it in a spreadsheet with these columns: ATS field name, ATS data type, ATS example value, HRIS field name, HRIS data type, HRIS expected format, transformation logic required, and field owner. Work through every data point that needs to move: candidate legal name, personal email, work email (if pre-provisioned), phone, start date, job title, department, cost center, employment type, compensation, and manager. For each field, confirm whether the formats match. Dates are a common mismatch — ATS exports MM/DD/YYYY while many HRIS platforms expect ISO 8601 (YYYY-MM-DD). Status labels are another: “Hired” in your ATS may need to become “Pre-Boarding” in your HRIS.

Document every transformation explicitly. “Convert date format” is not sufficient. Write: “ATS field start_date arrives as MM/DD/YYYY string — parse with parseDate() and reformat to YYYY-MM-DD before writing to HRIS field employmentStartDate.” This level of specificity is what your automation platform’s formula editor requires and what your auditors will want to see.

Also document what happens to fields that exist in the ATS but have no counterpart in the HRIS. You have three options: map to a notes/custom field, create a new custom field in the HRIS, or explicitly drop the field. Every dropped field must be documented as an intentional governance decision, not a gap.

Step 2 — Connect Your ATS and HRIS via Scoped API Credentials

API credentials with overly broad permissions are a compliance liability. Before generating credentials in each system, pull up your data map from Step 1 and list the exact objects and operations your integration touches. For a new-hire sync, you typically need: read access to candidate records, read access to offer records, and create/write access to employee records. Nothing more.

In your ATS, navigate to its developer or integration settings and generate an API key (or OAuth 2.0 client credentials) scoped to those objects. Record the key, client ID, and secret in your organization’s credential vault — not in a shared spreadsheet, not in Slack. Repeat the process in your HRIS.

Inside Make.com™, go to Connections and create a new connection for each platform. Most major ATS and HRIS platforms have native Make.com™ app connectors; if yours does not, use the HTTP module with your API credentials. Test each connection independently before building any scenario logic — confirm that a simple “get candidate” or “list employees” test call returns real data with the expected field structure. This surface-level validation now saves hours of debugging later.

For a comprehensive breakdown of how to configure credential scoping and role-based access controls inside Make.com™, see the guide on Make.com™ user permissions for secure HR workflows.

Step 3 — Build the New-Hire Trigger Scenario (ATS → HRIS)

This is the core scenario: a candidate reaches a definitive hired status in the ATS, and a complete employee record is automatically created in the HRIS. Here is the module sequence.

3a. Choose Your Trigger

Prefer a real-time webhook trigger over a scheduled poll wherever your ATS supports it. A webhook fires the moment the status changes; a poll introduces a lag equal to your poll interval (typically 15–60 minutes). For executive and high-demand hires where onboarding tasks are triggered immediately, that lag matters. If your ATS does not expose outbound webhooks, use a scheduled trigger set to poll every 15 minutes during business hours.

Set the trigger condition to fire only on a definitive, non-reversible status. “Offer Accepted” and “Background Check Cleared” are appropriate. “Offer Sent” and “Verbal Acceptance” are not — candidates at those stages may still withdraw, and a partial HRIS record created prematurely creates cleanup work and potential compliance exposure.

3b. Retrieve Full Candidate and Offer Data

The trigger event often contains only a candidate ID or a subset of fields. Add a “Get Candidate” module immediately after the trigger to pull the full candidate record. Add a second “Get Offer” module (or equivalent in your ATS) to retrieve compensation details, start date, and any offer-specific fields. Both modules should use the candidate ID from the trigger as their lookup key.

3c. Apply Transformations

Add a Tools or Set Variable module to apply every transformation documented in your data map. Date reformatting, status label translation, name capitalization normalization — all of it happens here, in one place, before any data touches the HRIS. Centralizing transformations makes future changes a one-module edit rather than a scenario-wide search.

3d. Create the HRIS Employee Record

Add your HRIS “Create Employee” module. Map every output from the transformation step to the corresponding HRIS field. Do not skip optional fields that you have data for — partial records create downstream problems in payroll and benefits enrollment. After the create action, add a Router module that checks whether the HRIS returned a successful employee ID. If yes, proceed to Step 4. If no, route to your error handler.

3e. Configure Error Handling on Every Write Module

Right-click the HRIS create module and add an error handler. At minimum, the handler should: log the failure to a data store with the candidate ID, ATS trigger timestamp, error code, and error message; send an immediate alert to your HR ops channel; and halt further processing of that record without affecting other records in the queue. For a full architecture guide on error handling patterns, see proactive error management for HR automation.

Refer to the essential Make.com™ modules for HR automation for a complete breakdown of which native modules handle each of these operations most efficiently.

Step 4 — Build the Reverse Sync (HRIS Employee ID → ATS)

The HRIS generates a unique employee ID when it creates the new employee record. That ID must be written back to the candidate record in the ATS immediately. Without it, the ATS retains no link to the employee’s ongoing record, breaking rehire checks, alumni tracking, and any future cross-system query that joins on employee ID.

Extend your Step 3 scenario with an additional branch after a successful HRIS record creation, or build a dedicated reverse-sync scenario triggered by a new employee record event in the HRIS. The module sequence is:

1. Retrieve the newly created HRIS employee record to confirm the employee ID is populated.
2. Use the ATS “Update Candidate” or “Update Application” module, with the original ATS candidate ID as the lookup key and the HRIS employee ID written to the designated custom field in the ATS.
3. Add a confirmation log entry to your data store: ATS candidate ID, HRIS employee ID, sync timestamp, and status.
4. Add error handling on the ATS update module identical to Step 3e.

This reverse sync completes the bidirectional record link. Every future integration — payroll, benefits, performance — can now join on employee ID and resolve the full hiring history without manual lookup.

Step 5 — Run Parallel Validation Before Full Cutover

Parallel validation is the discipline of running your automated scenario alongside your existing manual process for a defined window, then comparing results field by field. It is the only method that gives you real confidence before you turn off the manual process entirely.

5a. Set the Validation Window

Run parallel for a minimum of five to ten business days, or until at least ten new-hire events have passed through both the manual and automated paths. For high-volume recruiters, this window may be shorter in calendar days. For low-volume organizations, extend the window to capture enough events for statistical confidence.

5b. Build the Comparison Report

At the end of each validation day, export the HRIS records created by automation and compare them field by field against the records your HR coordinator entered manually. Build this comparison in a spreadsheet with conditional formatting that flags any field where the two values differ. Investigate every discrepancy — do not assume mismatches are cosmetic.

5c. Document and Resolve All Discrepancies

Each discrepancy maps to a gap in your transformation logic, a field-mapping error, or a data-quality issue in the source system. Fix the root cause in the scenario, not the symptom in the HRIS record. Re-run the affected test case after each fix. Only proceed to cutover when you have achieved a 100% field-match rate across all validated events.

5d. Cut Over and Decommission the Manual Process

Once validation passes, decommission the manual process formally: update your HR SOPs to remove the manual ATS-to-HRIS transfer step, archive the old process documentation with a date-stamped note explaining the change, and brief all team members who performed the manual step on the new workflow. The zero-loss data migration blueprint covers the governance documentation that should accompany any such cutover.

How to Know It Worked

Verification is ongoing, not a one-time go-live check. Implement these three controls from day one of full operation:

• Weekly reconciliation count: Every Monday, compare the count of “Hired” status changes in the ATS over the prior week against the count of new employee records created in the HRIS. Any count mismatch triggers an immediate record-level audit.
• Daily scenario summary: Configure your automation platform to send a daily digest of scenario runs, successes, partial completions, and errors to your HR ops inbox. Any non-zero error count requires same-day investigation.
• Quarterly field-sample audit: Randomly select ten employee records per quarter and compare every mapped field in the HRIS against the original ATS candidate record. This catches data drift caused by API changes, schema updates, or transformation logic that has gone stale.

Common Mistakes and How to Avoid Them

Triggering on a Reversible Stage

Building your trigger on “Offer Sent” instead of “Offer Accepted” means your HRIS will accumulate partial employee records for candidates who decline. Clean these up immediately if they occur, but redesign the trigger to the correct definitive event as the permanent fix.

Mapping Directly from API Response Without Inspecting the Data

Many ATS APIs return fields in formats that differ from what their documentation describes. Always run a live test call during Step 2, inspect the actual JSON response, and map from what the API actually returns — not from what the vendor documentation says it returns.

Treating a 200 Status Code as Proof of Data Integrity

An API call that returns HTTP 200 confirms the call completed without a network error. It does not confirm that the data written to the HRIS is correct. Always add a verification step that reads the record back after creation and confirms that key fields — at minimum, name, start date, and employee ID — match the source values.

Building Without a Data Store Log

Every ATS-to-HRIS sync event should write a log entry to a Make.com™ data store: source candidate ID, destination employee ID, timestamp, field hash or checksum, and success/failure status. Without this log, your only audit trail is the native scenario execution history, which Make.com™ retains for a limited window depending on your plan tier.

Skipping the Reverse Sync

Addressed in Step 4, but worth repeating: the forward sync without the reverse sync leaves your ATS and HRIS with no shared key. Every integration you build on top of this foundation — payroll, benefits, offboarding — will pay the price of that missing link.

What Comes Next

A reliable ATS-HRIS sync is the foundation, not the ceiling. Once this integration is stable and validated, the same architecture supports automated onboarding task assignment, benefits enrollment triggering, IT provisioning, and manager notifications — all branching from the same new-hire event that now reliably creates a clean HRIS record. For the broader recruiting automation picture, the guide on scaling ATS automation for recruiting shows how this sync connects into a full recruiting operations architecture. For the data security and governance layer that should wrap these workflows as they scale, the secure HR data migration strategy covers the controls that prevent compliance exposure as your integration surface grows.

The organizations that treat ATS-HRIS sync as a foundational architecture decision — not an IT ticket — are the ones that build HR automation that compounds. For the full picture of what that compounding looks like in practice, the zero data loss HR transformation case study shows what happens when these principles are applied at scale.