AI Strategy & Consulting
A roadmap before a single model is trained.
Most AI initiatives fail before the first line of code, they start with a technology and go looking for a problem. We start on the other side: your workflows, your margins, your data. The engagement ends with a costed, sequenced roadmap your team can execute, and the honest cases where AI is not the answer yet.
Discuss your projectWhat we deliver.
AI readiness assessment
A structured audit of your data, infrastructure, and team capability, what is usable today and what needs building first.
Roadmap development
A sequenced plan of AI initiatives ranked by ROI and feasibility, with costs and milestones your board can hold you to.
ML model design
Architecture and approach for the models your roadmap calls for, build, fine-tune, or buy, argued with evidence.
Data governance & ethics
Policies for data quality, privacy, and responsible AI that keep you ahead of regulation rather than reacting to it.
How an engagement runs
Two to four weeks of discovery across your systems and teams, followed by a working session where we pressure-test candidate initiatives against your data reality. You receive a roadmap document, an architecture sketch for the first initiative, and a build-vs-buy recommendation with numbers attached.