Service (001)
AI Strategy & Readiness
Know where AI pays before you spend on it.
Most companies do not have an AI problem. They have forty ideas, three vendors in the inbox and no way to tell which of it is worth doing. We give you a ranked, costed answer in weeks, written so that finance and operations can both hold us to it.
- Opportunity mapping
- AI readiness audit
- Use-case prioritisation
- Business case & roadmap
- Vendor & model selection
When it fits
You probably need this if any of these sound familiar.
You have more ideas than budget
Every department has a wish list and nobody can compare a chatbot with a forecasting model on the same scale.
A pilot went nowhere
Something was demoed, people liked it, and six months later it is still a demo.
The board is asking
You need a position on AI that survives questions about cost, risk and timing.
Vendors are setting the agenda
Your roadmap is slowly becoming a list of features someone else wants to sell you.
What you get
Deliverables(6)
- (001)
Opportunity map
Every candidate use case we found, scored on value, feasibility, data readiness and risk, on one page.
- (002)
Readiness audit
An honest read of your data, systems, skills and controls, with the gaps that would actually stop a project.
- (003)
Three business cases
The top use cases worked through properly: baseline, expected effect, build and run cost, payback period.
- (004)
12-month roadmap
What to do first, what to defer and what to drop, with owners and decision points.
- (005)
Build, buy or wait
A clear recommendation per use case, including which vendors and models we would shortlist and why.
- (006)
Board-ready summary
Ten pages a non-technical director can read in a sitting.
How it runs
Timeline
- Week 1
Listen
Interviews with the leadership team and the people who do the work. We shadow two or three processes end to end.
- Weeks 2–3
Measure
We pull real volumes, handling times and error rates, and look at the data each use case would depend on.
- Week 4
Rank
A scoring workshop with your team. Disagreements are useful here, so we make them visible.
- Weeks 5–6
Decide
Business cases, roadmap and the board summary. We present it once to management and once to whoever signs.
- Typical length
- 4 to 6 weeks
- Team
- A principal and an engineer
- Fee
- Fixed, agreed before we start
- You get
- A roadmap you own outright
(2)
Related work
Engagements where AI Strategy was part of the scope.
Good to know
Questions
Do you recommend your own build work at the end?
Sometimes, and we say so openly. The roadmap is written so that any competent team can deliver it. Roughly a third of our strategy clients build with someone else or in-house.
We have already picked a use case. Do we still need this?
Probably not the full version. We run a one-week check on the business case and data, then go straight to a pilot.
How much of our people’s time does it take?
About four hours each from five to eight people, plus one half-day workshop. We do the rest.
What if the answer is that we should not do AI yet?
Then that is what the report says, along with what would have to change first. It has happened, and those clients came back a year later.
Other services
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Tell us what you are trying to fix, in a few lines. We reply within one working day with questions or an outline of how we would approach it.
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