What is a board-ready AI governance program?

A structured 90-day program that gives a board a governance structure (a RACI matrix naming accountable owners), a KPI dashboard to track quarter over quarter, and a policy review calendar — rather than a static policy document.

What is a RACI matrix in AI governance?

RACI names, for each AI system, who is Responsible (runs it day to day), Accountable (owns it if it fails), Consulted (before a change), and Informed (after the fact) — closing the common gap where no one can say who owns an AI system.

What KPIs should an AI governance dashboard track?

Twelve KPIs across five areas are common: policy adoption, incident rates, training completion, vendor compliance, and audit readiness — tracked consistently so trend lines are meaningful quarter over quarter.

Which frameworks does a board AI governance program anchor to?

Commonly ISO/IEC 42001 (a certifiable AI management system standard) and the NIST AI Risk Management Framework (a voluntary US risk framework) — the program should map to whichever framework the board or customers reference.

AI Governance · Board Reporting

Board-Ready AI Governance in 90 Days

Three phases, a RACI matrix, and 12 KPIs — anchored to NIST AI RMF and ISO 42001.

Last reviewed: 2026-07-24

A board asks how AI is being governed, and the honest answer is a policy document nobody's updated since it was written. That's not a program — it's a liability with a cover page. This is the structured alternative.

The 90-day roadmap

Weeks 1-4 — quick winsVisible, immediate governance actions.
Weeks 5-8 — governance structureCommittees, policies, the RACI matrix.
Weeks 9-12 — embed & baselineThe program running, KPIs baselined for ongoing reporting.

12 KPIs a board wants to see

Policy adoption
Incident rates
Training completion
Vendor compliance
Audit readiness

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Frequently asked

What is a board-ready AI governance program?: A structured 90-day program that gives a board a governance structure (a RACI matrix naming accountable owners), a KPI dashboard to track quarter over quarter, and a policy review calendar — rather than a static policy document.
What is a RACI matrix in AI governance?: RACI names, for each AI system, who is Responsible (runs it day to day), Accountable (owns it if it fails), Consulted (before a change), and Informed (after the fact) — closing the common gap where no one can say who owns an AI system.
What KPIs should an AI governance dashboard track?: Twelve KPIs across five areas are common: policy adoption, incident rates, training completion, vendor compliance, and audit readiness — tracked consistently so trend lines are meaningful quarter over quarter.
Which frameworks does a board AI governance program anchor to?: Commonly ISO/IEC 42001 (a certifiable AI management system standard) and the NIST AI Risk Management Framework (a voluntary US risk framework) — the program should map to whichever framework the board or customers reference.

This page and the linked tool produce first-draft, AI-generated documents — not legal advice. Qualified review is required before you rely on any output.

Sources: ISO/IEC 42001:2023 · NIST AI Risk Management Framework · Responsible AI Studio .

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