PACKAGED OFFER · AI READINESS ASSESSMENT
AI readiness assessment for enterprise planning
In ten working days, walk away with a scored baseline of where you actually stand, a shortlist of use cases ranked by value and feasibility, the specific data and production gaps between you and a live system, and a costed roadmap your leadership can fund. No open-ended discovery, no 80-slide theory deck.
- A scored maturity baseline across strategy, data, platform, talent, and governance
- A ranked use-case backlog, scored on business value and feasibility
- A costed, sequenced roadmap with a recommended first build
A clear picture and a decision you can act on.
Most AI programs stall for reasons visible in week one: the wrong first use case, data that was never ready, and no infrastructure to run what gets built.
This assessment surfaces those risks before you spend a budget on them. Five concrete deliverables land on the table by day ten.
If you want a read on one agent before committing to the full two weeks, the agentic AI readiness scorecard scores the same five dimensions in three minutes and names the one holding the rest back.
Scored maturity baseline
Where you stand across strategy, data, platform, talent, and governance, on one working scorecard.
Ranked use-case backlog
Candidate use cases, each scored on business value and technical feasibility, so priorities are defensible.
Readiness gap analysis
A data and production readiness read on your top two or three use cases, with the gaps named.
Costed, sequenced roadmap
A recommended first build and an owner model, sized so leadership can fund it with confidence.
Leadership readout
A findings session with your leadership team, plus the working scorecard to keep.
Most AI programs stall for reasons that are visible in week one.
Leaders about to fund AI who want an outside baseline first.
For leaders whose pilots have stalled, or who are about to commit budget and want a straight read before they do.
If you have more use-case ideas than clarity on which to build first, this is the fastest way to a defensible answer. It pairs naturally with our deeper AI advisory work, and the same pod carries the roadmap into the first build.
Ten days, five checkpoints, one decision.
Each stage produces a working output, so momentum is visible from day two.
Kickoff
Stakeholder interviews and goal alignment, producing agreed scope and success criteria.
Review
Data, platform, and governance review, producing a draft maturity scorecard.
Score
Use-case discovery and value-feasibility scoring, producing a ranked backlog.
Shape
Gap analysis and roadmap shaping, producing a costed roadmap draft.
Decide
Leadership readout and prioritisation, producing the final scorecard, roadmap, and first-build recommendation.
What the baseline changes.
Give us ten days. We will give you a straight answer.
On where you stand and what to build first. When you are ready to move from the roadmap to the first build, the same pod continues into a scoped Enterprise AI engagement, so nothing is relearned.