Every team produces documents that must meet internal rules – legal language, compliance constraints, brand voice. This session shows how to build and run a compliance check agent that compares a document with your policy knowledge sources (legal/compliance/brand) and returns an actionable report: what passed, what failed, why, and how to fix it. Drawing on real work for a bank and a pharma company, we’ll cover architecture, guardrails, and the practical trade-offs that matter in production.

What we’ll cover (deep dive + live demo):

• How it works: policy ingestion & grounding (SharePoint/Dataverse), retrieval patterns, rule mapping to checks, and per-policy scoring.
• Actionable output: evidence-backed explanations with citations, prioritized fixes, and exportable audit reports.
• Human-in-the-loop: reviewer workflows, exceptions, approvals, and traceable history available to business users.
• Edge cases & limits: long documents, tables/images, ambiguous policies, and when to hand off to human review.