A rigorous decision framework comparing fine-tuned proprietary models, open-weights deployments, and commercial API leases across 5-year TCO, regulatory exposur
Build-vs-buy decision skill for AI weighs differentiation, true cost, and control across fast-moving options: vendor products, frontier APIs, open models, and in-house systems, producing defensible architecture positions instead of default vendor capture or NIH waste.
Strategic and recurring: these calls shape multi-year cost and capability curves, and leaders who make them with evidence rather than ideology are trusted with widening scope.
Buy the commodity, build the differentiator: vendor platforms for undifferentiated capability, in-house systems where proprietary data and workflows create advantage, with provider abstraction preserving options.
Price the ops forever: evals on every model change, monitoring, security, talent retention. Build estimates that end at launch are off by the larger half.