01 / 04 —— WHEN YOU NEED IT
When AI needs a plan
The board is asking about AI, budgets are spread across disconnected pilots and every vendor has a tool to sell. Activity is high, but value is hard to show.
A strategy turns that activity into a short list of bets the business will fund, own and measure.
02 / 04 —— WHAT YOU GET
What you get
01 — ON A PAGE
AI strategy on a page
Ambition, priorities and guardrails in one view the board can discuss and approve.
02 — PORTFOLIO
Ranked use cases and value case
Your use cases scored on value, feasibility and risk, with a business case for the leaders.
03 — ROADMAP
Roadmap and operating model
A 12–24-month roadmap, the AI operating model and the governance to run it.
03 / 04 —— HOW WE BUILD IT
How we build it
Typically 6–10 weeks, starting from the AI Readiness Diagnostic.
01
Ambition
WEEKS 1–2
Align leaders on where AI should move the numbers. You get agreed goals and guardrails.
02
Portfolio
WEEKS 2–5
Generate, score and rank use cases across the business. You get a prioritised portfolio with value cases.
03
Operating model
WEEKS 4–7
Define ownership, skills, data, platforms and governance. You get the model to deliver at scale.
04
Roadmap
WEEKS 6–10
Sequence the work, the investment and the milestones. You get a 12–24-month roadmap ready to fund.
04 / 04 —— WHY IT STICKS
Why it sticks
01
Owned by the board
Leaders shape the priorities, so the strategy is theirs to fund and defend, not a consultant's report.
02
Led by value
Every use case carries a value case and an owner, measured against the KPIs your board already tracks.
03
Grounded in your ERP
Plans reflect what your data and ERP can support today, so the first steps can start straight away.