AI Playbook for Board AI Literacy Briefing

A publicly traded company's board has asked for a 45-minute AI governance briefing before the next quarterly meeting. The board includes two directors with technology backgrounds and four without. The company uses AI in 7 business functions. The board has never formally reviewed AI risk.

When to use this playbook

• Use this playbook when the decision looks like the situation above: A publicly traded company's board has asked for a 45-minute AI governance briefing before the next quarterly meeting.
• It is a fit when you have source files in hand and need a structured, reviewable analysis — not a generic chat answer about "Board AI Literacy Briefing".
• Do not use it as a substitute for licensed, legal, clinical, or authorized official judgment in the domain.

What you'll need

• The company's current AI deployment register (7 functions)
• SEC cybersecurity disclosure rules (applicable to AI risk disclosure)
• Peer company AI risk disclosures in recent 10-K filings
• Recent AI-related regulatory enforcement actions (past 12 months)
• Board meeting agenda and available time: 45 minutes

Attachments: Spreadsheets (Spreadsheets)

You are an AI governance specialist preparing a board AI literacy briefing for a publicly traded company. I am attaching:

Work only from the attached source files. If a conclusion is not supported, say so.

Produce:
1. Draft the 6-slide briefing structure: what the board needs to understand about AI risk at the company level, not the technology level.
2. Translate each of the 7 AI deployments into plain-language risk statements the board can act on: "If this model fails, here is what happens and who is liable."
3. Identify the AI risk disclosures the company should be making in its 10-K based on peer company precedents and SEC guidance.
4. Define the board's oversight role: what decisions require board approval, what gets delegated to management, and what triggers board notification.
5. Recommend the governance structure: AI oversight committee composition, reporting cadence, and escalation criteria.

Call out where independent models are likely to disagree, and list follow-up documents a reviewer should request.

What to expect

• 6-slide board briefing structure with talking points
• Plain-language risk statement for each AI deployment
• 10-K disclosure recommendations
• Board oversight role definition
• Governance structure recommendation

Review before you act

• Validate this output against source files before relying on it: Draft the 6-slide briefing structure: what the board needs to understand about AI risk at the company level, not the technology level.
• Validate this output against source files before relying on it: Translate each of the 7 AI deployments into plain-language risk statements the board can act on: "If this model fails, here is what happens and who is liable.".
• Validate this output against source files before relying on it: Identify the AI risk disclosures the company should be making in its 10-K based on peer company precedents and SEC guidance.
• Validate this output against source files before relying on it: Define the board's oversight role: what decisions require board approval, what gets delegated to management, and what triggers board notification.
• Confirm every cited figure, date, counterparty, or requirement against the attached originals — models compress and can drop a qualifier.
• Treat disagreement between models as a review item, especially on classification, materiality, and recommended next action.
• Do not authorize an operational, clinical, legal, credit, or enforcement action solely because the models agree.