Field-tested thinking on timelines, team models, governance and the real economics of enterprise machine learning. No thought-leadership filler.
Eight weeks is not a slogan — it's a schedule. Here's the week-by-week breakdown of what has to be true to put AI in production in two months, and where most enterprise projects actually lose the time.
The model works in the demo, then nothing happens for six months. The five places projects stall — all organisational, not technical — and how to design them out from the start.
Less than you fear if it's scoped, far more than you think if it isn't. What really drives the price, and why fixed-scope beats time-and-materials.
The six questions security and compliance should answer before any AI ships: data residency, PII, access, model boundaries, audit trails and SOC 2 fit.