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Proposal Red-Team Loop

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

What would make this proposal fail in front of a smart executive? Use this before sending an AI, CRM, transformation, vendor, or budget proposal to pressure-test logic, evidence, risks, and language. Proposal Red-Team Loop Task: What would make this proposal fail in front of a smart executive? Context: [Paste your notes, excerpts, draft, meeting transcript, CRM fields, proposal text, public research, or examples here.] Context I should provide: - Proposal draft - Target audience - Decision requested - Proof points - Known objections - Claims requiring caution - Desired outcome Useful setup: Paste the proposal draft, target audience, decision requested, proof points, known objections, and claims that must be treated carefully. Why this matters: Use this before sending an AI, CRM, transformation, vendor, or budget proposal to pressure-test logic, evidence, risks, and language. Business problem: Proposals often fail because the weak claim, missing evidence, adoption risk, or unclear ask is visible to the decision maker but invisible to the author. Instructions: Act as a skeptical executive red-team reviewer. Pressure-test the proposal below. Find weak claims, unsupported assumptions, unclear asks, likely objections, and missing evidence. Then recommend a stronger structure and rewrite the opening in plain business language. Workflow: 1. Identify the ask: State the exact decision the proposal wants from the reader. 2. Find weak claims: Flag unsupported, inflated, vague, or jargon-heavy statements. 3. Map objections: List what finance, IT, legal, operations, sales, or the customer might challenge. 4. Repair the structure: Recommend a clearer order: problem, evidence, options, recommendation, risk, ask. 5. Rewrite the opening: Draft a stronger opening that names the business tension and decision. 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 red-team review with weak claims, missing evidence, likely objections, and a stronger proposal structure. - 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: - Decision ask - Business problem - Proof points - Weak claims - Objections - Risk response Stopping condition: Stop when the proposal's ask, evidence, and risks are clear enough for a skeptical reader.

Key takeaways

  • What would make this proposal fail in front of a smart executive?
  • A red-team review with weak claims, missing evidence, likely objections, and a stronger proposal structure.
  • Stop when the proposal's ask, evidence, and risks are clear enough for a skeptical reader.
  • Decision ask
  • Business problem

About the author

Juan Beltrán writes about AI transformation, CRM, data analytics and digital growth for enterprise leaders in complex B2B industries. Head of Digital Marketing, ABB Energy Industries. 17+ years in enterprise transformation. Based in Zug, Switzerland.

Disclaimer

This is a personal website. The views and opinions expressed here are my own and do not represent ABB or any current or former employer. All content is based on public information, personal experience and general professional knowledge. No confidential, proprietary, client-specific or employer-specific information is shared.

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