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AI consultancy that ships
Most AI advice fails in the same place: it stops at enthusiasm. Useful consultancy ends in decisions, owners, and a path to production.
1. Diagnose
Start with workflow pain, data reality, and constraints — not model shopping. Rank opportunities by impact × feasibility × risk.
2. Decide
Pick a thin slice. Define success metrics, evaluation, privacy boundaries, and what will explicitly not be automated.
3. Deliver
Ship a measured pilot. Instrument it. Review weekly. Expand only what earns trust.
That’s the shape of my consultancy: practical, product-minded, and allergic to buzzwords.