Generic AI strategy is being commoditised, and rightly so. Ours is different because the people advising you are the people who build. Every recommendation comes with an estimate, a risk view and a delivery plan we would be willing to execute ourselves.
Start with an assessmentA two-to-four-week assessment of your data, skills, platforms and risk posture, ending in a sequenced roadmap with business cases for each initiative.
Which three bets, in what order. Candidates scored on value, feasibility, data readiness and risk, with owners and success metrics attached.
Plain-language briefings and decision support for boards and leadership teams weighing AI investment, risk and competitive position.
Part-time AI leadership for mid-market companies: strategy, vendor decisions, hiring, governance and delivery oversight, a few days a month.
Centre of excellence design, team structures, decision rights, funding models and intake processes that make AI repeatable instead of a series of one-off projects.
A 30-minute call, no deck, no obligation.