Why this is a framework
Big-bang AI projects kill themselves.
The default shape of an AI transformation engagement is: six months of integration work, three months of model work, one big cutover, followed by a month of on-the-ground firefighting while operators learn the new system. That shape fails, consistently, because it puts every risk in the last mile.
The framework inverts this. We sequence so the least-risky, most-visible wins ship first, data model, pipeline stages, intake migration, and the AI work comes after the ground is clean. If the program gets defunded in month four, the client still has a working pipeline. Every phase ends with a hard usable-after milestone we'll sign our names to.
Contract clause, Every phase has a written "usable after" line in the statement of work. If what shipped doesn't deliver that outcome, we fix it before starting the next phase. No exceptions.