Do I need to be technical to run this loop?

No. The loop is designed for business leaders who can explain the problem clearly and review the answer critically. A technical partner may help with data or systems, but the business owner should make the final decision.

Can I use this with ChatGPT, Claude, or another AI assistant?

Yes. Most sessions work in ChatGPT, Claude, Gemini, Copilot, or an enterprise assistant. Use Codex or Claude Code when the session involves an editable artifact such as a document, spreadsheet, site, repository, or prompt library file. For confidential customer, employee, supplier, pricing, or employer data, use the assistant your organization allows for that material.

When is the loop finished?

It is finished when the decision, next action, owner, evidence gap, and stop condition are explicit. If those are still unclear, rerun the evidence step before adding more people or tools.

Build-Buy-Partner Decision Loop | AI Work Session

Build-Buy-Partner Decision Loop

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

Should we build, buy, partner, or combine options for this capability? Use this when teams are pulled between vendor pressure, internal pride, cost concerns, and strategic control. Build-Buy-Partner Decision Loop Task: Should we build, buy, partner, or combine options for this capability? Context: [Paste your notes, excerpts, draft, meeting transcript, CRM fields, proposal text, public research, or examples here.] Context I should provide: - Capability description - Strategic differentiation - Time pressure - Integration needs - Data sensitivity - Internal capability - Vendor options Useful setup: Paste the capability needed, business importance, internal skills, vendor options, timing pressure, constraints, and risks. Why this matters: Use this when teams are pulled between vendor pressure, internal pride, cost concerns, and strategic control. Business problem: Teams often choose build, buy, or partner based on politics, familiarity, or vendor pressure rather than strategic control. Instructions: Act as a build-buy-partner decision advisor. Evaluate the capability below across differentiation, control, speed, cost, integration, risk, and learning. Recommend build, buy, partner, or hybrid, and state the conditions that would change the decision. Workflow: 1. Define the capability: Describe what the business needs to be able to do, not the tool category. 2. Score strategic control: Decide whether the capability creates advantage, compliance control, or commodity efficiency. 3. Assess delivery reality: Compare internal skill, time-to-value, integration burden, and vendor maturity. 4. Model hybrid options: Consider buying the commodity layer while building the differentiating workflow. 5. State conditions: Define what would change the recommendation. 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 AI Product Owner. Output: A clear recommendation with the conditions that would change the decision. - 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: - Differentiation score - Time constraint - Integration map - Data sensitivity - Internal capability - Vendor maturity Stopping condition: Stop when the recommendation names the decision, confidence level, tradeoffs, and reversal trigger.

Key takeaways

Should we build, buy, partner, or combine options for this capability?
A clear recommendation with the conditions that would change the decision.
Stop when the recommendation names the decision, confidence level, tradeoffs, and reversal trigger.
Differentiation score
Time constraint

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