Vendor Claim Verification Loop

By Juan Beltrán, Industrial B2B AI Transformation Executive.

Which vendor claims should we test before buying? Use this when a vendor demo, benchmark, or roadmap promise sounds impressive but needs to survive your real environment. Vendor Claim Verification Loop Decision to make: Which vendor claims should we test before buying? Decision owner: Procurement or governance lead with architecture and business owner. Working-session setup: - Timebox: 45 min working session - People in the room: Decision sponsor, subject owner, and one credible challenger. - Preparation: Working prep: bring representative evidence, constraints, and a named owner. Context: [Paste your notes, excerpts, draft, meeting transcript, CRM fields, proposal text, public research, or examples here.] Context I should provide: - Vendor pitch - Claims - Demo notes - Reference stories - Security documentation - Pricing model - Use case requirements Safety boundary: - Use only information I provide in this conversation. - Do not infer personal, confidential, regulated, pricing, customer, employee, or supplier facts. - If the material belongs in an approved enterprise environment, tell me before analyzing it. Instructions: Act as an AI vendor claim verifier. Extract every vendor claim from the material below. Classify each claim by evidence quality, buyer risk, verification method, and recommended procurement action. End with the top five questions to ask before signing. Run the session in this order: 0. Inspect the context. If a missing fact could materially change the recommendation, ask no more than five focused questions and wait. If I ask you to continue, mark each missing fact as unknown. 1. Extract claims: List every measurable vendor promise about value, accuracy, integration, security, speed, and cost. 2. Classify evidence: Mark each claim as proven in your context, proven elsewhere, asserted, or roadmap. 3. Design verification: Choose demo test, reference call, proof of concept, security review, or contract clause. 4. Map buyer risk: Identify which claim would damage value, adoption, compliance, or switching cost if false. 5. Write the negotiation ask: Turn weak claims into data requests, success criteria, or protections. Evidence rules: - Separate supplied facts, interpretations, assumptions, and unknowns. - Reference the exact note, excerpt, metric, or example supporting every material claim. - Show the strongest credible counterargument to the recommendation. - Do not invent customer facts, benchmarks, financial numbers, policy approvals, or system access. - Do not turn missing evidence into a confident recommendation. - Keep the answer useful for Governance Lead. Output contract: A list of testable claims, evidence requests, buying risks, and negotiation questions. Return: 1. BLUF: the decision, recommendation, or draft in plain language. 2. Evidence table: claim, supplied evidence, confidence, and gap. 3. Assumption ledger: what is assumed and how to verify it. 4. Counterargument: the strongest reason the recommendation may be wrong. 5. Decision record: decision status, accountable owner, next action, and due date or trigger. 6. Evidence still needed: only the gaps that could change the decision. 7. Stop condition: state when the work is complete and when it must pause. Evidence checklist: - Claim list - Evidence source - Buyer context match - Verification method - Contract protection - Exit clause Human operating ritual: - Capture claims verbatim. - Do not let a beautiful demo answer an integration question. - Ask references about failure modes, not only success. Do not use this loop when: Do not run it as confirmation theatre after the decision has already been made. A human authority must approve the final decision and the operating environment. Stopping condition: Stop when every important claim has evidence, a test, or a contractual protection.

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