Board AI Governance Evidence Pack
Board AI governance evidence is the compact evidence set directors, risk committees, CISOs, and governance owners need before AI use becomes a board-level question. The practical pack is not a legal opinion. It is a decision record system: what AI exists, who owns it, what risk matters, what evidence exists, and what needs escalation.
What the board actually needs to see
A board AI governance evidence pack should compress operational AI governance into decisions, owners, exceptions, and unresolved exposure. It should not drown directors in clause language or tooling screenshots.
Board decision log
Records the decisions made, the alternatives rejected, the accountable owner, the risk accepted, and the next review date.
Evidence index
Maps board statements to internal artifacts such as inventories, risk registers, vendor reviews, assessments, oversight logs, and incident paths.
Open risk register
Shows unresolved high-signal issues: unapproved AI use, high-impact use cases, weak vendor evidence, missing owners, and agentic AI boundaries.
Minimum board evidence set
The minimum board AI governance evidence set should show the organization can classify, assign, monitor, and escalate AI risks without pretending that paperwork equals assurance.
| Artifact | Board question answered | Primary owner | Typical review cadence |
|---|---|---|---|
| AI inventory summary | What AI systems, vendors, and internal tools are materially relevant? | AI governance owner / CTO | Quarterly or after material change |
| Material AI risk register | Which AI risks could affect customers, employees, operations, or legal exposure? | Risk / compliance lead | Monthly to quarterly |
| Vendor AI evidence tracker | Which third-party AI dependencies have weak or missing evidence? | Procurement / security / legal | During onboarding and renewal |
| Oversight and escalation log | Who can stop, escalate, or approve AI decisions when the risk changes? | Business owner / CISO | Ongoing |
| Agent boundary register | Which autonomous or semi-autonomous AI systems can act, call tools, or trigger side effects? | Engineering / security owner | Before deployment and after changes |
| Board decision record | What did the board or committee approve, reject, defer, or require? | Company secretary / governance owner | Every board cycle |
Use this page when the trigger is executive scrutiny
Board AI governance evidence becomes useful when AI risk is no longer a tooling discussion and has become an executive accountability issue.
Good-fit triggers
- A board or risk committee asks for AI governance status.
- A buyer asks for AI controls, vendor risk, or governance evidence.
- Management needs a concise view of high-impact AI systems.
- Agentic AI, MCP, OpenClaw, or tool-using agents create escalation concerns.
- AI use is growing faster than policy, inventory, and ownership records.
Bad-fit uses
- Do not use a board evidence pack as legal advice.
- Do not present it as proof of compliance or audit success.
- Do not include confidential production data or credentials.
- Do not turn a board pack into a full technical implementation workbook.
- Do not hide unresolved issues to make governance look cleaner.
How Move78 routes board evidence work
Move78 should route board evidence readers according to the maturity of their artifact base, not according to generic interest in AI governance.
| Reader state | Recommended route | Reason |
|---|---|---|
| No inventory or risk register | Free tools and downloads | Start with discovery and basic evidence capture. |
| Needs starter records | ACT-1 Starter | Build baseline inventory, policy, and risk artifacts. |
| Needs board, buyer, vendor, and agentic AI evidence | ACT-2 Professional | Use a broader cross-framework evidence system. |
| Needs facilitation and executive alignment | Implementation Sprint | Use guided sessions to structure decisions and ownership. |
Source and review note: This page provides operational implementation guidance for board-facing AI governance evidence. It does not provide legal advice, tax advice, audit assurance, certification assurance, conformity assessment advice, buyer approval, or security assurance. Validate legal, regulatory, sector, contractual, and security decisions with qualified professionals.
Turn board questions into evidence records.
Use ACT-2 when AI governance needs to move from discussion to cross-framework evidence, ownership, vendor review, board reporting, and agentic AI governance records.
View ACT-2 Professional