AI Strategy Consulting
An honest map of where AI pays for itself, and where it quietly costs you more than it saves.
A board asking for an AI plan, vendors who all sound the same, and a pilot that stalled.
Most AI strategy work is subtraction. There are usually two places it pays and a longer list of places it will cost money and attention for nothing, and the value is in being told which is which by somebody with no product to sell you.
The board has asked what our AI plan is
A ranked shortlist of where AI pays in your business, with the return estimated, and an equally clear list of where it does not and why.
Every vendor sounds the same
We do not resell anyone. The assessment names what to build, what to buy and what to leave alone, and you can take it to any implementer.
A pilot stalled and nobody can say why
Usually data access, an unclear owner, or a use case chosen because it was interesting rather than because it was expensive. We work out which and what it would take to finish.
We need rules before anything faces a customer
Guardrails, review steps and data handling agreed in writing before anything is built, not after somebody screenshots a bad answer.
You get the ranked shortlist, the list of what not to do, and a roadmap you own. You are free to build it with anyone, us included or not.
What a strategy engagement covers.
Where your team spends time, which of it is genuinely repetitive, and what each workflow would cost to automate against what it costs today.
The places AI pays, in order of return. Usually shorter than people expect, and rarely the use case that prompted the call.
+ service layer
+ tests
audit → stabilize → plan
Where AI would cost more than it saves, or add risk you do not want. This is the half of the report most vendors will not write.
Sequenced work with the cheap and certain wins first, so the programme funds itself before you commit to anything large.
patched 12
scanned daily
WAF on
What the models are allowed to do, what data they can see, where a person has to sign off, and how you would turn it off. Agreed before anything ships.
A scheduled look back at whether the numbers matched the projection. Anyone who will not agree to this up front is not confident in the projection.
Twenty-five years of shipped work.
Straight answers.
What do we get?
An assessment of your workflows, a ranked shortlist of opportunities with estimated cost and return, and a recommendation on what to do first.
Will you tell us not to use AI?
Frequently. It is the most useful thing we say, and it is why the assessment is worth paying for.
Do we have to build with you afterwards?
No. The assessment stands on its own and is yours to take anywhere.
How do you handle data privacy?
We scope what data leaves your environment before anything is built, and often the answer is that none of it needs to.
Ready to talk about it?
Tell us what you are building. You will speak to the engineer who would do the work.
A real number in two business days, from an engineer. No sales deck, and no call just to book another call.