Generative AI Consulting for HR
Policy Q&A and recruiting copilots that cite the handbook in force — and never leak another employee’s file.
- Service
- Generative AI
- Industry
- HR
- Updated
- 2026-08-25
- Engagement
- 4 wks
Generative AI consulting for HR helps people teams put handbook Q&A and recruiting copilots into production with permissioned retrieval, citations to the policy in force, and hard walls around compensation, health, and performance data — typically one bounded workflow in four weeks, with the client owning the index, evals, and runbooks.
Why teams pick this engagement
Generative AI × HREmployee data stays walled
Compensation, health, and performance records are excluded or filtered by live HRIS entitlements. A manager prompt cannot retrieve another team’s file.
Handbook as the source of truth
Policy answers cite the current handbook, location addendum, and effective date. Silent retrieval refuses instead of improvising leave law.
HRBP still owns the case
Employee-relations drafts and recruiting score notes land in a queue. Terminations, accommodations, and immigration remain human decisions.
HRIS and ATS integration
Workday, SuccessFactors, Greenhouse, Lever — the copilot reads the role and candidate record you already have, rather than a pasted résumé dump.
Ticket and time-to-hire metrics
Policy-ticket deflection, recruiter hours on first-pass screen, and time-to-schedule — measured on the workflow we shipped, not a generic HR ROI story.
One workflow in four weeks
Policy Q&A for one country, or a recruiting copilot for one requisition type — discovery through handover in a month.
Key takeaways
- 01
The first HR GenAI workflows that survive legal review are employee policy Q&A and recruiting assist (JD drafts, outreach, screening summaries) — not automated firing or performance ratings.
- 02
Employee data leakage is the failure mode that ends the project: retrieval must respect HRIS entitlements at query time, not at index time only.
- 03
Policy answers cite the current handbook and location addendum; conflicting policies escalate to an HRBP instead of being blended.
- 04
Recruiting copilots must not invent qualifications or scores that are not in the résumé and the requisition; that is both a bias and a faithfulness problem.
- 05
One country handbook or one requisition family in four weeks is the right slice; an all-employee chatbot over the whole HRIS is not.
What the engagement covers
How we work
- 01
Discover
Ticket and recruiting volumes, HRIS/ATS permissions, handbook versions, and the single workflow in scope.
- 02
Design
Data boundaries, citation and refusal rules, and evals reviewed with HR, privacy, and employment counsel.
- 03
Build
Index, copilot, and HRIS/ATS integration in your environment with weekly demos on real tickets or reqs.
- 04
Validate
Leakage tests, faithfulness, conflicting-policy escalation, and recruiting consistency review.
- 05
Enable
Production for the bounded workflow, republish runbooks, and 30 days on-call.
Take the playbook with you
The working documents from real engagements — free, in exchange for an email. They’re useful whether or not we ever talk.
HR GenAI Permission Matrix
Which employee attributes a policy bot, a manager copilot, and a recruiter copilot may retrieve — and which are always out of bounds.
Get the matrix ·Policy Q&A Citation & Refusal Spec
How to version handbooks by country and entity, require citations, and escalate when two policies conflict.
Get the spec ·