AI Readiness Assessment.
A four-week, fixed-scope engagement that tells you exactly where you stand on AI — and what to do next. Tailored scorecards, prioritised use-case backlog, costed roadmap.
Clarity before committing to AI spend.
Boards are asking for AI strategy. Vendors are quoting six-figure platforms. Your data may or may not be ready. We give you an honest readout, a prioritised backlog and a roadmap you can take to the board or the CFO — in four weeks, for a fixed fee.
Tailored variants exist for Accounting & Finance, Housing Associations, City Councils and Insurance — incorporating sector-specific regulation, use-case patterns and vendor landscape.
What the four weeks cover.
Data readiness
Quality, completeness, lineage, accessibility, sensitivity — against the use cases you care about.
Capability readiness
Skills, roles, ways of working, vendor dependencies. Where the gaps are and how to close them.
Controls readiness
Privacy, security, AI governance, regulatory exposure. What's in place, what needs building.
Use-case discovery
20–40 candidate AI use cases surfaced through structured workshops, scored on value, feasibility and risk.
Business case
Three-year costed plan with NPV, risk-weighted. Board-ready and Finance-defensible.
Roadmap & mobilisation plan
Quick-wins, foundational investments, sequencing. What to do in the next 90 days.
Four weeks, four workshops, four deliverables.
Scoping & interviews
Leadership interviews, data inventory, use-case longlist.
Readiness assessment
Scoring across 5 dimensions, sector benchmarking.
Use-case prioritisation
Workshop to shortlist, score and sequence.
Roadmap & readout
Business case, roadmap, board-ready presentation.
- ✓Readiness scorecard5-dimension, sector-benchmarked, with evidence.
- ✓Prioritised use-case backlog20–40 candidates scored and sequenced.
- ✓Costed 24-month roadmapInvestment, milestones, dependencies, risks.
- ✓Business caseNPV, 3-yr P&L impact, sensitivity.
- ✓Board-ready presentationOne-hour exec readout, editable deck.
- ✓90-day mobilisation planQuick wins, foundational moves.
What clients do next.
Typically starting with the highest-value low-risk shortlist item.
Data quality, governance or platform work before any AI build.
Readiness gap too wide — reset expectations with the board.