Security & Governance

AI Governance: Building a Practical Review Process for Enterprise

4 min read

A pragmatic AI governance review process — the same one we deploy with regulated enterprise clients in finance and healthcare.

  1. 01Tiered risk classification

    Tier 1: customer-facing decisioning. Tier 2: internal automation. Tier 3: productivity tools.

  2. 02Pre-deployment checklist by tier

    Eval suite, threat model, audit trail, kill switch.

  3. 03Quarterly post-deployment review

    Drift, accuracy, complaint volume.

  4. 04Cross-functional review board (Eng + Legal + Risk)

    Meets monthly; ratifies new deployments.

Production-Grade AI Agent ArchitectureThree layers that keep enterprise agents reliableInputStructured payloadLAYER 1Deterministic BoundarySchema-bounded LLM callLAYER 2Validation GateSchema · Range · Cross-refPASS→ Final actionFAIL→ Human reviewLAYER 3 · Audit TrailEvery decision logged: input → prompt → output → action
The 3-layer architecture pattern Ohveda uses to ship reliable, auditable enterprise AI agents to production.

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