12/15/2025 · 10 min
Enterprise AI governance: from PoC to production without surprises
A clear checklist for security, privacy, model risk, and evaluation so AI deployments stay compliant and measurable.
Enterprise AI is not just models. It is policies, access control, evaluation, monitoring and change management.
Governance checklist
- Data: classification, retention, redaction, lineage.
- Security: RBAC/ABAC, secrets, audit trails, incident response.
- Model: provider risk, prompt injection defenses, guardrails.
- Evaluation: golden sets, offline tests, online monitoring, drift.
- Operations: SLAs, fallback behavior, escalation paths.
Practical note
Governance is a product feature. It should be designed into retrieval, execution, and observability — not written as a PDF after the fact.
Want to apply this in your org?
We can design a pilot with RAG/automation and governance, with evaluation and clear metrics.
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