Services · Plan

AI strategy and roadmap consulting

We help leadership teams decide where AI will pay off, in what order, and what has to be in place first. You finish with a prioritised list of use cases, a phased plan with owners and a business case the board can back.

Talk to us See the workshop →

Impact and effort grid on a whiteboard covered with use-case sticky notes from a workshop breakout

Start with a workshop

Business AI Roadmap Workshop →

Most strategy engagements start here: one morning that takes a leadership team from “what can AI do for us?” to a ranked list of use cases and a 30/60/90-day plan.

Length: 4 hours, one morning
Group: 15–25 leaders
Output: ~50 scored use cases
Then: 30/60/90-day plan

Why it matters

Most AI programmes stall between the strategy and the build.

Strategy that never reaches production is the most common way AI money is wasted. Our AI strategy work is designed to be built: the same senior team that writes the plan designs the architecture and ships the first systems, so nothing is lost in the hand-over.

01
Grounded in your business
Discovery interviews with eight to ten functional leaders, a short staff survey reported only in aggregate, and a walk through your ERP, CRM, production and reporting systems with their owners.
02
Prioritised, not a wish list
Use cases scored for impact (time, money, quality, revenue, customers) and for difficulty (systems, data, people and process change), so the quick wins and the strategic bets are clear.
03
Owned by your team
Your own people choose and rank the use cases. A plan the leadership team has built itself is one it will deliver.

What we do

From readiness review to a plan with owners.

01
AI readiness assessment
A scored baseline across three levels of AI value (personal productivity, automated workflows, revenue and growth) and the ten parts of our Operational AI Playbook, with your three weakest areas and the evidence behind each score.
02
Leadership workshop
Live demonstrations of what AI can do now on your own public data, a showcase from your own power users, and cross-functional breakouts that typically produce around 50 scored use cases.
03
Data and systems architecture
A target architecture that leaves your core systems unchanged: AI reads your data through documented, read-only views, and every request carries the user’s own permissions.
04
Build, buy or wrap
A simple test on cost, skills, criticality and speed for each priority use case, and how to avoid lock-in to a single vendor.
05
The 30/60/90-day plan
30 days: name the AI team and start a tools register. 60 days: shared skills and code, and four or five quick-win builds. 90 days: secure, real-time data foundations.
06
A business case
Value and cost for each phase, including the running costs that are easy to underestimate: licences, usage charges and the time of the people who build and maintain your tools.