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Use case

Governed knowledge copilot

Answers your employees can trust

SharePoint, SQL, and BigQuery—with ACLs, citations, and escalation paths.

SpeedCompliance
Governed knowledge copilot — overview
Governed knowledge copilot — the challenge

A generic chatbot on the intranet creates liability; a governed copilot creates leverage.

The Challenge

Knowledge is scattered across wikis, tickets, and warehouses. Users paste sensitive questions into consumer tools; IT cannot prove who saw what; answers lack citations.

The Innovoco Solution

We deploy Microsoft- or Google-native patterns with retrieval that respects directory groups and row-level security. Responses include citations, confidence cues, and routes to experts when retrieval is thin.

Governed knowledge copilot — Phase 1 — Scope corpora

Phase 1 — Scope corpora

Select high-value domains (HR policies, IT runbooks, product specs) and validate ACL mirroring.

Governed knowledge copilot — Phase 2 — Expand with quality bars

Phase 2 — Expand with quality bars

Add structured data sources with SQL/BQ guardrails; monitor groundedness and user feedback.

Governed knowledge copilot — key implementations

Key implementations

  • ACL-aware indexing

    No retrieval across documents the user cannot open natively.

  • Hybrid search

    Keyword + vector for precision on policies and procedures.

  • SQL generation policies

    Read-only roles, allowlisted schemas, and automatic explain plans for reviewers.

  • Feedback loops

    Thumbs, corrections, and curator workflows to improve corpora.

  • Red-team testing

    Prompt suites for exfiltration, policy bypass, and unsafe advice.

Technical innovation

Orchestration chooses between doc QA, tabular tools, and human handoff dynamically—users get one interface while backends stay specialized and auditable.

Governed knowledge copilot — technical innovation
Governed knowledge copilot — impact

Impact

  • Deflection of repetitive L1/L2 knowledge questions with measurable accuracy.
  • Shorter ramp time for new hires searching policies and systems.
  • Reduced shadow IT use of consumer AI for work questions.
  • Documented access and citations for sensitive domains.
Employees get one front door with citations and ACLs respected. Shadow use of consumer chat dropped within a quarter.

— CIO (anonymized)

Explore this outcome on your stack

We map scope, guardrails, and rollout to your data boundaries and teams—practical next steps, not a generic slide deck.