AI Governance Checklist for Mid-Sized Companies: 15 Controls Before Go-Live

Most AI delays are not model delays. They are governance delays.

Teams move quickly through pilots, then stall when legal, security, and operations ask the same valid question: “Who is accountable when this runs at scale?”

This checklist gives you a concrete baseline before go-live. It is intentionally practical and designed for mid-sized organizations that need speed without avoidable risk.

Related reading: AI Readiness Audit for Mid-Sized Teams and RAG in Production: Governance, Evaluation, and Monitoring Blueprint.

The 15-control AI governance checklist

Score each item as:

• 0 = not defined
• 1 = partially defined
• 2 = implemented and reviewed

1) Ownership and decision rights

1. Accountable owner named for production AI decisions.
2. RACI documented across business, IT, security, and operations.
3. Escalation path defined for policy exceptions and incidents.

2) Data controls

4. Data classes defined (public, internal, confidential, restricted).
5. Allowed/blocked data for prompts explicitly documented.
6. Source-of-truth boundaries set for what AI may and may not modify.

3) Access and identity

7. Least-privilege access enforced for all AI components.
8. Service identities separated from user identities.
9. Access review cadence established (for example monthly).

4) Traceability and evidence

10. Prompt/response logging policy with retention window.
11. Model/version traceability captured for each release.
12. Audit trail coverage for key user actions and approvals.

5) Change management and reliability

13. Release gates for prompts/models/index changes in place.
14. Rollback playbook tested for bad outputs or regressions.
15. Incident runbook and SLA targets documented and owned.

Scoring guidance

• 24-30 points: Governance-ready for controlled production rollout.
• 16-23 points: Proceed only with a 30-day governance hardening sprint.
• 0-15 points: Do not go live yet. Baseline controls are incomplete.

Common failure pattern

The most common pattern is “tool-first, controls-later.” Teams optimize demo quality, then discover missing ownership and unclear data boundaries during approval.

That delay is expensive because delivery momentum and stakeholder trust drop at the same time.

30-day governance hardening plan

• Week 1: assign owner, define RACI, and map decision rights.
• Week 2: finalize data class policy and blocked prompt data.
• Week 3: implement logging, version traceability, and alert rules.
• Week 4: run a simulated incident and test rollback path.

If you complete those four steps, most mid-sized teams move from “pilot-ready” to “production-capable.”

Copy template: governance scorecard

Control area	Score (0-2)	Owner	Review date
Ownership and decision rights	-	-	-
Data controls	-	-	-
Access and identity	-	-	-
Traceability and evidence	-	-	-
Change management and reliability	-	-	-

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If you want a structured governance review before launch, contact us for a focused production-readiness session.