Field Guides

When deploying a new business capability or technical solution, enterprise leaders face an immediate structural choice: do we graft this capability into our existing operational core, or architect it as an entirely isolated stream? This framework was built in the middle of high-latency, data-intensive AI implementations, but the underlying logic applies to any major technical migration, enterprise software rollout, or new business model. The goal is to help leadership teams evaluate the trade-offs between integration and segregation across six practical dimensions, so the decision is intentional before capital is committed. ...

Diagnose before you retrain. The most expensive fix in AI is the one that solves the wrong problem. Use this framework every time someone says “the model is wrong” — before agreeing to any fix. How to use this framework Run the three layers in sequence. Do not skip ahead. Layer 1 — Horizontal scan: Map the full problem landscape before going deep. Layer 2 — 5 Whys drill: Find the true root cause for each distinct symptom. Layer 3 — Design Thinking check: Confirm your fix will actually be adopted. Critical rule: Complete all three layers before recommending any fix. The most expensive mistake in AI diagnostics is solving the wrong problem — and the wrong problem almost always looks like the right problem at Layer 1. ...