AI readiness & maturity assessment
Data, platform, talent and governance scored against a reference model, with the gaps that actually block delivery.
Discovery & Strategy
Know which twelve ideas to kill and which three to fund.
The problem we solve
Most AI portfolios stall because everything is a priority and nothing has an owner. We build a ranked, costed portfolio tied to the numbers your board already reviews, then design the operating model that keeps it moving after we leave.
Data, platform, talent and governance scored against a reference model, with the gaps that actually block delivery.
Process-level value pools sized in currency, with assumptions your finance team can challenge.
A 4–8 quarter roadmap balancing quick proof against the platform work that unlocks everything else.
Centre of excellence vs federated delivery, funding routes, intake, and decision rights.
Objective evaluation of models, platforms and partners against your workloads and residency rules.
How the engagement runs
Stakeholder interviews, data and platform review, current initiative audit.
Value sizing workshops, portfolio scoring, operating model options.
Roadmap, investment case and board readout.
Common questions
Related practices
Positioning, pricing and roadmap for teams embedding AI into a product they sell rather than a process they run.
ViewA fast, process-level sweep that sizes value pools in currency and separates the fundable from the fashionable.
ViewStructured evaluation of models, platforms and partners against your workloads, residency rules and cost envelope.
ViewA 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.