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Recruiting Agent Launch Checklist

A launch-readiness checklist for recruiting AI agents covering fairness, interview ops reliability, ATS integrity, and hiring decision governance.

Recruiting Agent Launch Checklist cover image
Use case: Recruiting AI rollout and governance
Recruiting Agent Launch Checklist inline image

Checklist objective#

Recruiting workflows are high-stakes and people-sensitive. This checklist helps teams launch AI support in hiring processes while maintaining fairness, consistency, and legal defensibility.

Pre-launch readiness#

  1. Role scorecards finalized with must-have and preferred criteria.
  2. Fairness policy embedded in screening and recommendation prompts.
  3. ATS mapping validated for candidate states and note fields.
  4. Manual override path defined for all automated recommendations.
  5. Recruiter training completed on output interpretation and escalation.

Pilot execution checks#

  1. Dual-run mode enabled (AI recommendation + human decision).
  2. Disagreement analysis tracked between AI and recruiter outcomes.
  3. Candidate communication templates reviewed for neutrality.
  4. Interview scheduling reliability measured across timezones.
  5. Debrief data completeness monitored by stage.

Post-launch governance checks#

  1. Bias and fairness audit executed on outcome distribution.
  2. Decision traceability verified for offer/no-offer recommendations.
  3. ATS conflict handling tested for concurrent updates.
  4. Prompt/rule version control integrated into ops workflow.
  5. Quarterly policy review scheduled with HR and legal stakeholders.

Copy-ready checklist template#

[ ] Scorecards approved by hiring managers
[ ] Fairness policy embedded in prompts
[ ] ATS integration mapping tested
[ ] Human override rules documented
[ ] Recruiter onboarding complete
[ ] Pilot dual-run metrics configured
[ ] Candidate communication QA passed
[ ] Decision audit trail enabled
[ ] Conflict-resolution queue active
[ ] Quarterly governance review calendar set

FAQ#

What must remain human-owned?#

Final hiring decisions, compensation decisions, and exceptions in sensitive candidate scenarios should remain human-owned.

How do we evaluate fairness drift?#

Track outcomes by stage and compare cohort conversion patterns over time with periodic policy audits.

What is the fastest launch mistake to avoid?#

Skipping dual-run validation and moving to automation before recruiter trust and data integrity are proven.

Tags:
checklistrecruitingfairnesshiring operations
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