Answer policy questions from approved sources
Policy question answering creates risk when employees find outdated PDFs, receive inconsistent manager answers, or ask questions that depend on role, location, confidentiality, or legal review. The workflow has to protect the source of truth before it promises self-service.
OECD research on SME AI adoption emphasizes organizational readiness, and policy search is a clear example. Decide which policy library is authoritative, which versions are retired, which questions need escalation, and which answers must show citations before employees rely on them.
Use Copilot for HR research, custom AI for approved answers
Copilot can help HR, legal, or operations staff research policies, summarize changes, and draft internal responses from permissioned Microsoft 365 content. Microsoft's documentation on data protection and Graph grounding supports that staff-assistant use case.
A custom workflow is needed when employees need an approved-answer service with source citations, version controls, role permissions, jurisdiction boundaries, disclaimers where appropriate, and escalation to HR or legal. NIST can frame answer-risk monitoring and fallback paths; CISA controls help keep sensitive employee and policy data within approved retrieval boundaries.
Measure answer trust and escalation quality
Deloitte's 2026 AI research is useful here because policy bots often look impressive in demos and fail on edge cases. Pilot the workflow on a bounded policy area, such as PTO, expense approval, security procedures, or onboarding questions.
Measure answer accuracy, citation quality, outdated-source rate, escalation volume, employee self-service adoption, and HR or legal review burden. Keep Copilot for internal research and drafting. Build custom policy answering when the company must prove which source supported the answer and where the answer was escalated.
