Board AI Business Case Loop

By Juan Beltrán — personal website on AI and digital growth for complex B2B industries.

Is this AI proposal strong enough for board-level funding? Use this when an AI initiative sounds exciting but the value, risk, owners, and staged funding logic are not yet clear. Board AI Business Case Loop Task: Is this AI proposal strong enough for board-level funding? Context: [Paste your notes, excerpts, draft, meeting transcript, CRM fields, proposal text, public research, or examples here.] Context I should provide: - Investment request - Business outcome - Baseline metric - Value estimate - Implementation plan - Risk register - Owner model Useful setup: Paste the proposal, business outcome, baseline, cost estimate, owner, expected adoption, risks, and funding ask. Why this matters: Use this when an AI initiative sounds exciting but the value, risk, owners, and staged funding logic are not yet clear. Business problem: AI proposals often reach leadership with impressive language but weak financial logic, unclear owners, and hidden adoption risk. Instructions: Act as a board-level AI investment reviewer. Convert this proposal into a decision memo. Identify the business outcome, value bridge, operating owner, adoption risk, implementation risk, and staged funding gates. Recommend approve, revise, stage, or reject. Workflow: 1. Translate the initiative into business language: State the P&L, risk, customer, or productivity outcome without AI vocabulary. 2. Build the value bridge: Connect baseline, intervention, adoption, capture rate, cost, and timing. 3. Expose the operating model: Name who builds, runs, supports, governs, and benefits. 4. Stage the investment: Define what is funded now and what evidence unlocks the next tranche. 5. Write the board ask: Frame the decision, options, risks, and recommendation in one page. Quality bar: - Use only the context in this chat. - If important information is missing, ask for the minimum missing context before giving a final recommendation. - Separate facts from assumptions. - Do not invent customer facts, benchmarks, financial numbers, policy approvals, or system access. - Keep the answer useful for CEO / GM. Output: A board-ready decision memo with recommendation, value logic, risks, and next funding gate. - BLUF recommendation or draft. - Evidence from my context. - Assumptions and missing information. - Risks, objections, or failure modes. - Recommended next action, owner, and stop condition. Evidence checklist: - Baseline metric - Value bridge - Cost model - Adoption assumption - Risk mitigation - Named operating owner Stopping condition: Stop when the board can approve a staged decision without needing to believe a vendor narrative.

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