Anonymized implementation pattern
Regulated knowledge assistant for source-grounded answers.
A pattern for companies where policies, reports, technical documents, and decision context must be searchable through private AI while preserving permissions, traceability, and human review.
Pattern summary
Turn regulated knowledge into a governed assistant, not an uncontrolled chatbot.
- Problem: users lose time searching across PDFs, policies, reports, tickets, and expert memory.
- Workflow: ask a question, retrieve permission-safe sources, generate a cited answer, and escalate uncertain outputs.
- Data involved: policies, SOPs, reports, contracts, knowledge bases, internal documentation, and approved exports.
- Typical MVP window: 3-6 weeks after representative data access and a named workflow owner.
What gets built
A private RAG assistant with evaluation and governance from day one.
Ingestion
Document connectors, parsing, metadata, permission mapping, and source freshness rules.
Retrieval
Hybrid search, embeddings, ranking, source attribution, and answer-grounding checks.
Evaluation
Gold questions, rejected-answer examples, expert review loops, and retrieval quality tracking.
Governance
Access control, audit logs, human review for risky topics, and rollout criteria.
Reusable system
The MVP can become a Company Brain foundation.
- The same knowledge core can support assistants, dashboards, expert workflows, and internal AI tools.
- The evaluation set becomes a regression test for future data, model, prompt, and retrieval changes.
- The governance model can be reused for other regulated workflows where source trust matters.
Next step