Stop HR Data Silos: Automate Your HR Tech Stack with Make.com

HR data silos are not caused by bad software choices. They are caused by gaps between software — the manual handoffs where a recruiter exports a CSV from one system and re-types it into another. Those gaps cost time, introduce errors, and keep your HR team stuck in administrative work instead of strategic work. This guide shows you exactly how to close those gaps using Make.com™ as your integration layer, step by step. For the broader context on what recruiting automation can accomplish once your stack is connected, start with recruiting automation with Make.com™ before returning here to implement.

Before You Start

Complete this checklist before touching Make.com™. Skipping it is the fastest way to build a scenario that fails in production.

• Tools you need: Active accounts in your source system (typically your ATS) and destination system (typically your HRIS), plus a Make.com™ account at the Core tier or above.
• API access: Confirm that both your source and destination systems have APIs enabled and that you have generated API keys or OAuth credentials. Check your ATS and HRIS admin panels — some platforms gate API access behind higher-tier plans.
• Field mapping document: Create a simple spreadsheet with two columns: source field name and destination field name. This is your blueprint. Do not start building until this document exists.
• Test records: Identify two or three real (or test-mode) candidate records you can use to validate the scenario without touching live production data.
• Data privacy review: Confirm with your legal or compliance team which fields — particularly compensation, SSNs, or health information — require additional handling controls before they move through an automation platform.
• Time estimate: A first integration scenario takes two to four hours to build and test if you are familiar with Make.com™. Budget a full day if this is your first scenario.
• Risk note: A misconfigured field mapping that writes incorrect compensation data to your HRIS is worse than no automation at all. Build in a human verification step for the first 30 days before removing it.

Step 1 — Audit Your HR Tech Stack and Identify the Highest-Friction Handoff

The highest-ROI integration is always the one that happens most often and carries the highest error cost. Start there, not with the most technically interesting connection.

List every system your HR and recruiting team touches in a typical hiring cycle: your ATS, HRIS, interview scheduling tool, background check platform, onboarding platform, communication tools, and any spreadsheets used as interim data stores. Then, for each transition between systems, record three things:

1. Frequency: How many times per week does this handoff happen?
2. Manual effort: How many minutes does it take per occurrence?
3. Error cost: What is the consequence when this handoff fails or a field is entered incorrectly?

Multiply frequency by manual effort to get weekly time cost. Weight the result by error cost. The handoff with the highest combined score is your starting point.

For most recruiting teams, this is the ATS-to-HRIS transfer at the moment a candidate is marked hired. McKinsey Global Institute research estimates that knowledge workers spend nearly 20 percent of their workweek on data gathering and entry tasks — and this single handoff is often the largest single contributor in HR. Parseur’s research on manual data entry estimates the fully-loaded cost of a manual data entry employee at approximately $28,500 per year in labor alone, before accounting for error correction.

Asana’s Anatomy of Work research similarly found that workers spend a substantial share of their time on work about work — status updates, data transfers, and administrative coordination — rather than skilled work. The ATS-to-HRIS handoff is a textbook example of work about work that automation eliminates entirely.

Document your audit in your field mapping spreadsheet before proceeding to Step 2.

Step 2 — Map Every Data Field Before Building Anything

Field mapping is the step most teams skip. It is also the step that determines whether your integration works cleanly or becomes a maintenance burden.

Open your field mapping spreadsheet and create three columns: Source Field, Destination Field, and Transformation Required. Go through every piece of candidate data that needs to move from your source system to your destination system. Common fields for an ATS-to-HRIS integration include:

• First name, last name, preferred name
• Personal email and phone
• Job title and department
• Start date
• Employment type (full-time, part-time, contract)
• Compensation (base salary or hourly rate)
• Manager name or manager ID
• Work location
• Employee ID (often assigned by HRIS on record creation)

For each field, note whether a transformation is required. Common transformations include date format conversion (your ATS may output MM/DD/YYYY while your HRIS expects YYYY-MM-DD), text normalization (employment type values may differ between systems), and ID lookups (your HRIS may require a department ID rather than a department name). The Transformation Required column becomes your Make.com™ formula list.

This is also where you identify fields that exist in one system but not the other. Do not assume the gap will work itself out. Decide now whether to skip the field, store it in a custom field, or trigger a separate notification for manual completion.

For deeper guidance on eliminating the data entry burden across your entire talent acquisition workflow, see our guide to automating talent acquisition data entry.

Step 3 — Build the Trigger Module in Make.com™

The trigger is the event in your source system that starts the automation. Get this right and everything downstream runs reliably. Get it wrong and the scenario fires at the wrong time, on the wrong records, or not at all.

Log into Make.com™ and create a new scenario. Your first module is always the trigger. You have two primary options:

• Webhook trigger (preferred): Your source system pushes data to Make.com™ the instant the trigger event occurs. This requires your ATS to support outbound webhooks — most modern ATS platforms do. In your ATS settings, create a new webhook, paste in the Make.com™ webhook URL, and select the event type (typically “candidate status changed to Hired”). This approach is real-time and requires no polling.
• Scheduled polling trigger: Make.com™ checks your source system at a defined interval and looks for new records matching your criteria. Use this when your ATS does not support webhooks. Set the interval to every 15 minutes for reasonable responsiveness without excessive API calls.

After selecting your trigger type, configure the connection by entering your ATS API credentials. Make.com™ will attempt a test connection — do not proceed until this succeeds. Once connected, run a test trigger using one of your test candidate records. Confirm that the data returned in the trigger output matches what you expect based on your field mapping document.

For advanced webhook configuration, including handling custom headers and authentication tokens, see our guide to webhooks for custom HR integrations.

Step 4 — Add Filter and Router Modules to Prevent Unwanted Executions

A scenario without a filter runs on every record that matches the trigger type — including test records, re-hires whose HRIS profile already exists, and candidates hired into roles that use a different workflow. A filter runs the scenario only when your exact conditions are met.

Between your trigger module and your first action module, add a Filter (the small circle connector in Make.com™’s visual editor). Configure the filter to pass only when the conditions you specify are true. Typical filter conditions for an ATS-to-HRIS integration include:

• Candidate status equals “Hired” (not just any status change)
• Job type equals the employment category this scenario handles (add separate scenarios for contractors vs. full-time if the HRIS onboarding path differs)
• A custom field in your ATS that flags whether automation has already been triggered for this record (prevents duplicate HRIS records on re-runs)

If you need to route different candidate types to different destination systems — for example, US-based hires to one HRIS module and international hires to another — use a Router module instead of a simple filter. The Router creates parallel branches and each branch carries its own filter conditions.

Do not skip this step. Running an ATS-to-HRIS scenario without a filter on a real hiring week will create duplicate records, trigger premature onboarding emails, and generate cleanup work that costs more than the manual process you were replacing.

Step 5 — Build the Destination Action Module

The action module creates or updates a record in your destination system using the data from your trigger. This is where your field mapping document pays off.

Add the module for your HRIS (or other destination system) as the next step in your scenario. Select the action type — typically “Create Employee Record” or “Create New Hire.” Make.com™ will display every available field in the destination system. Map each field using the trigger output data from Step 3, applying the transformations you documented in Step 2.

Key implementation notes:

• Date formatting: Use Make.com™’s built-in formatDate function to convert date fields. Example: formatDate(trigger.startDate; "YYYY-MM-DD") converts to ISO format regardless of what the source system outputs.
• ID lookups: When the destination system requires an internal ID (such as a department ID) rather than a text value, add an HTTP module or a dedicated search module before your action module that queries the destination system for the correct ID, then passes it into the action module.
• Required vs. optional fields: Map all required destination fields before saving. Make.com™ will flag missing required fields but will not prevent you from saving an incomplete scenario — it will just fail on execution.
• Error handling: Click the wrench icon on your action module and set the error handler to “Break” with a notification to a designated Slack channel or email address. This ensures that a failed execution surfaces immediately rather than silently dropping a new hire record.

Once the action module is configured, run a test execution using your test candidate record. Open your HRIS and verify that the new employee record was created with every field populated correctly. Do not advance to Step 6 until every field matches your field mapping document exactly.

Step 6 — Add Downstream Notifications and Update the Source Record

A well-built integration does not just move data — it closes the loop. After the HRIS record is created, two additional actions make the scenario production-ready.

Notify the right people. Add a notification module (email, Slack, or your team’s communication platform) that alerts the hiring manager, the onboarding coordinator, and the recruiter that the new hire record has been created in the HRIS. Include the employee’s name, start date, job title, and a direct link to their HRIS profile. This replaces the informal “hey, did you set up the new hire yet?” messages that currently fill recruiting team inboxes.

Update the source record. Add a second action module that writes back to your ATS, updating a custom field (for example, “HRIS Record Created: Yes” with a timestamp). This field becomes your deduplication flag from Step 4 — it prevents the scenario from creating a second HRIS record if the trigger fires again for the same candidate. It also gives you an audit trail directly in your ATS showing exactly when the record was pushed.

For how this downstream notification logic extends into onboarding task creation and equipment provisioning, see our guide to automating HR administrative tasks.

Step 7 — Test with Live Records and Monitor for 30 Days

Staging tests with synthetic records catch structural errors. Live records catch the edge cases that sink production deployments. Do both.

Before switching the scenario on for production, run it against at least two live records — ideally real hires processed during a low-stakes period. Walk through the results field by field against your field mapping document. Confirm that:

• Every required HRIS field is populated correctly
• Date formats are correct
• Compensation figures match exactly (this is the field where errors carry the highest cost — verify it character by character)
• The ATS source record has been updated with the “HRIS Record Created” confirmation
• The notification reached the correct recipients with accurate information

Once deployed, keep a human verification step in your process for the first 30 days. Have your HRIS admin spot-check five records per week against the ATS source. This is not a lack of confidence in the automation — it is the standard commissioning protocol for any production system. After 30 days with zero discrepancies, remove the manual verification step and let the scenario run independently.

Monitor Make.com™’s execution log daily for the first two weeks. Any scenario that fails — due to an API timeout, an unexpected field value, or a structural change in your ATS output — should surface via your error notification from Step 5 before you notice it in the execution log. If a type of failure recurs, document it and add an explicit error handler for that condition.

How to Know It Worked

Your HR tech stack integration is working when all of these are true:

• Zero manual data re-entry occurs between your ATS and HRIS for new hires — every record is created by the scenario, not by a human
• HRIS records for new hires appear within minutes of the candidate status change in the ATS, not hours or days
• Your field error rate in the HRIS drops to near zero for the fields covered by the integration (measure this by auditing five records per week for the first month)
• Recruiters and HR coordinators stop asking each other whether the new hire record has been set up — the notification from Step 6 answers that question automatically
• Your Make.com™ execution log shows consistent successful runs with no recurring error patterns

If any of these conditions is not met after 30 days, return to Step 4 (filters) and Step 5 (field mapping) — the root cause is almost always a filter gap or a field transformation error.

Common Mistakes and How to Fix Them

These are the four failure patterns we see most often when HR teams first automate their tech stack.

Mistake 1 — Skipping the Field Mapping Document

Teams that build directly in Make.com™ without a field mapping document discover gaps and transformation requirements mid-build, then improvise. Improvised field mappings create silent errors — fields that appear populated but contain the wrong format, wrong value, or wrong data type. Build the document first. Every time.

Mistake 2 — No Error Handling on the Action Module

A scenario with no error handler fails silently. A new hire record never gets created in the HRIS. No one knows until the employee’s first paycheck is wrong. Set the error handler on every action module before you deploy. Gartner research on data quality consistently finds that poor data quality costs organizations significantly — and a silent automation failure is a data quality failure with compounding consequences.

Mistake 3 — Automating Too Many Handoffs at Once

The teams that fail fastest try to connect every system in their stack in the first build. When something breaks — and something always breaks in a complex first build — they cannot isolate which integration caused the error. Build one handoff, verify it for 30 days, then add the next. See our guide to building robust Make.com™ scenarios for HR for how to structure multi-system scenarios once you have the first one stable.

Mistake 4 — Not Reviewing the Platform Comparison Before Committing

If your team is deciding between automation platforms before building, do that analysis before you start. Our platform comparison for HR automation covers the decision factors that matter for recruiting teams specifically — scenario complexity, data volume, and total cost of ownership.

What to Build Next

Once your first integration scenario has run cleanly for 30 days, return to your audit from Step 1 and move to the next highest-friction handoff. Common second integrations include:

• HRIS-to-onboarding platform: Trigger new hire task creation in your onboarding tool the moment the HRIS record is confirmed — see our guide to automating the full employee lifecycle
• ATS-to-background check platform: Automatically initiate background check workflows when a candidate reaches the offer stage
• Offer letter generation: Pull compensation and role data from your ATS and generate a formatted offer letter automatically — detailed in our guide to automating offer letters to eliminate late-stage errors

Each integration you complete compounds the value of the last. Cleaner data in your HRIS produces better workforce analytics. Better analytics produce faster hiring decisions. Faster hiring decisions reduce the cost of unfilled positions — which SHRM research pegs at an average of $4,129 per open role per month in direct costs alone, not counting productivity loss.

The HR tech stack is not a technology problem. It is a workflow design problem. Once you treat it that way and start closing handoff gaps systematically, the entire stack begins to work the way it was advertised when you bought each piece of it.