AI Strategy
A plan for where AI fits in your business over the next twelve months — grounded in what you actually have today.
An AI strategy answers three questions: where is AI already helping your competitors and putting you at a disadvantage; where in your own operations is the manual work creating the most friction; and what is the realistic sequence for addressing both, given your current team and infrastructure?
We develop strategy from the bottom up — starting with your actual workflows and data, not an industry benchmark. The output is a twelve-month plan with clear phases, success criteria for each, and an explicit view of what needs to be true (data quality, team capability, infrastructure) for each phase to succeed.
Strategy work is usually a four-to-six week engagement and results in a document your leadership team can use to make resourcing decisions — not a presentation that stays in a folder.
What the strategy covers
Competitive Landscape
Where AI is changing your industry and what that means for your position.
Internal Opportunity Map
Your workflows mapped against AI capability — highest friction first.
Phased Roadmap
A twelve-month sequence with success criteria and dependencies made explicit.
Data & Infrastructure Readiness
What needs to be true before each phase can succeed — surfaced early, not discovered mid-project.