ATS Sync Integration Template

An integration template for syncing screening signals, interview states, and recruiter actions between AI workflows and ATS records.

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Integration objective#

This template ensures AI-generated screening and coordination outputs are reflected reliably in your ATS. It prevents fragmented candidate state across recruiter notes, scheduling tools, and ATS records.

Data contract#

  1. Candidate identity fields: ATS candidate ID, email, requisition ID.
  2. Stage transition events: screening passed, interview scheduled, offer review.
  3. Evaluation payloads: score, rationale, confidence, and evaluator.
  4. Audit metadata: model/prompt version and update timestamp.

Integration steps#

  1. Read ATS candidate state to avoid stale writes.
  2. Validate event freshness with event timestamp and revision number.
  3. Map AI output fields to ATS objects and notes.
  4. Write updates atomically where API supports transaction semantics.
  5. Emit update webhook for downstream scheduling and analytics.
  6. Record audit trail for compliance and dispute resolution.

Copy-ready integration template#

Trigger: Screening or interview workflow emits candidate update event.

Step 1: Resolve ATS candidate by unique ID.
Step 2: Compare incoming revision with ATS revision.
Step 3: Transform payload to ATS schema.
Step 4: Upsert stage, notes, and recommendation fields.
Step 5: Publish synchronization success event.
Step 6: Persist audit log with trace ID.

On conflict:
- mark as CONFLICT
- queue for recruiter review
- notify recruiting ops with candidate and requisition IDs

Common implementation pitfalls#

  • Writing notes without recruiter attribution.
  • Overwriting manual recruiter edits with stale automated payloads.
  • Missing conflict resolution paths when concurrent updates happen.

FAQ#

Can this integration support multiple ATS vendors?#

Yes, if you maintain a normalized internal schema and vendor-specific adapters.

How do we protect candidate privacy?#

Restrict sensitive fields by role and avoid exposing protected attributes in generalized workflow outputs.

What should trigger manual review?#

State conflicts, low-confidence recommendations, and sensitive employment status changes.