What it covers
An AI strategy engagement is short, direct, and ends in decisions. We work with your leadership and the people closest to the work to answer four questions: where would AI change an outcome you care about, what would it take to get there, what could go wrong, and in what order should you do it.
- Opportunity assessment across teams, workflows, and customer-facing products
- Build-versus-buy analysis for each candidate, including vendors you already have
- Model and platform evaluation without the sales pitch
- A sequenced roadmap with owners, dependencies, and success measures
- An operating model: who approves what, how quality is measured, how cost is controlled
- Executive and board briefings that explain the plan in plain language
Who it's for
Leadership teams that have budget pressure to "do something with AI" and want to spend it on the two or three things that will actually move a number. Also teams with a pile of pilots and no way to compare them.
What you get
A written roadmap, the analysis behind it, and a realistic estimate of effort and risk for each item. Fixed price, typically two to four weeks.
Common questions
How is this different from a big-firm AI strategy?
It's shorter, it's done by people who will still be around to build it, and it doesn't end in a 90-page deck. We optimize for decisions you can act on next quarter.
Do we need clean data first?
No. Part of the assessment is finding out what data you actually have and what's usable. That shapes the roadmap rather than blocking it.