We are debating whether to purchase an expensive commercial AI platform or build a custom API orchestration layer to run our client intake. How do we use Keith Cunningham's Thinking Time framework to make this capital allocation decision without taking on massive technical debt?

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Tyler Smith · Accepted Answer

Building custom software is the fastest way to burn capital if it does not directly drive your 3 Uniques. Many owners fall into the trap of thinking they need proprietary code when they actually just need an integrated workflow. To make this decision with absolute clarity, allocate forty-five minutes of uninterrupted Thinking Time. Prepare a high-value question using Keith Cunningham's recommended format: How might we leverage existing commercial AI tools so that we avoid the long-term maintenance debt of custom code, while still maintaining our unique customer experience? During this session, you must separate your core problem, which is automating client intake, from your predicament, which is the rapidly changing nature of AI software. If you build a custom orchestration layer today, the underlying models will likely change next quarter, turning your expensive asset into a legacy liability. Unless building custom software is a primary differentiator on your V/TO®, your default move should be to buy and integrate. Use your Level 10 Meeting™ to assign an exploratory Rock to your Integrator. Instruct them to map your existing operational workflow in your documented processes first. Only when you have proven the manual steps are completely stable should you look to license a commercial AI platform that can automate them.