The AI Opportunity Audit: use-cases scored, groundwork checked, roadmap costed.
Know where AI pays before you spend.
Everyone says adopt AI. The audit answers where, in this firm, with what return and what risk. Two to three weeks, fixed fee, board-readable at the end. We sell no licences and take no vendor margin, so the answer is allowed to be no.
Every month the question stays open, another vendor answers it for you. That is the cost of waiting.
A SHORTLIST THE BOARD CAN READ, WITH THE FIRST BUILD COSTED
01
Who this is for
The board asked. Nobody owns the answer.
The front door
Firms of 20-200 people who keep hearing "adopt AI" and cannot yet name where it pays. Often the board has asked for an AI answer, somebody has bought licences, and the pilots keep stalling. The audit is the cheapest, shortest way to turn that noise into a decision.
If you already know the workflow that hurts, skip the audit and read the production IT agent. If nobody owns technology at all, start with the Head of IT seat.
The signs
The board asked for an AI strategy. Nobody owns one.
Licences are bought. Usage is a rounding error.
Every vendor renewal now has an AI feature on it.
A workflow eats someone's day, and nobody has timed it.
02
What we do
The firm, read and scored
The work
Two to three weeks of reading the firm, scored.
No vendor slides. We read the firm the way an operator reads it.
Where the hours go. We sit with the people who do the work and time the workflows that eat the day.
Where the money goes. Licences, tokens, copilots and cloud, on one list somebody reads.
What AI can genuinely do about each, scored on return, risk and data readiness. The agents we run in production keep the scoring honest: we know what a live workflow costs to build, run and govern.
The groundwork. The security, licensing and tenant checks that decide whether the firm can say yes safely.
A sequenced roadmap, with the first build costed and the business case written for the board.
03
The three scores
Return · risk · readiness
The scoring
Every candidate use-case gets three scores. Return: hours or pounds, measured against what the workflow costs today. Risk: what happens when the AI is wrong, and who is accountable when it is. Readiness: whether the data, the permissions and the tenant can actually support it. The shortlist is ranked on all three.
The use-cases that fail are written down too, with the reason. The board should know what was considered and why it lost. And where the readiness score is the blocker, the roadmap starts with the groundwork: a tenant made ready, the evidence pack, or waste in the bill reclaimed to fund the work.
04
How it runs
Diagnose. Deliver. Decide.
01
Diagnose
We sit with the people who actually do the work: operations, finance, the service desk, whoever owns the workflow that hurts.
02
Deliver
Two to three weeks, fixed. The pack lands board-readable: the scores, the shortlist, the groundwork, and the sequenced roadmap with the first build costed.
03
Decide
Your call. Run the roadmap yourselves, take the first build as a sprint, or fill the seat. The audit stands alone either way.
05
What you leave with
The pack, in plain words
The pack
The map
Where the hours and the money actually go today.
The shortlist
Use-cases scored on return, risk and readiness, ranked.
The groundwork
Security, licensing and tenant checks, written down.
The roadmap
Sequenced, board-readable, first build costed.
06
The price
No monthly subscription
Fixed fee
From £4,950, fixed.
Two to three weeks, and the price is the price: agreed before we start, whatever we find. If the honest answer is that AI has nothing to earn here yet, the pack says so, and the roadmap starts with the foundations instead.
The audit is how most firms meet us. The roadmap prices what comes next, and you can take it to anyone.
All six services, and the framework they belong to, are on one page.
07
FAQs
Asked before, answered here
What do we get at the end of the AI Opportunity Audit?
A board-readable pack: where the hours and the money go today, a shortlist of AI use-cases scored on return, risk and data readiness, the groundwork check on security and licensing, and a sequenced roadmap with the first build costed.
How long does the audit take?
Two to three weeks elapsed. We sit with the people who run the work, read the estate, and score what we find. It is deliberately short: the point is a decision.
Do we need to have bought Copilot or any AI tools first?
No. The audit is tool-independent and vendor-independent. We sell no licences and take no vendor margin. If the right answer is to buy nothing yet, the roadmap says so.
Will you just tell us to hire you to build things?
The roadmap prices the first build honestly, and you can take it to anyone. If a workflow is better served by an off-the-shelf product, or by your MSP, the pack names that instead.
How do you know if our data is ready for AI?
Readiness is one of the three scores. AI is only as good as what it can see, and what it must never see. The audit checks ownership, retention, labels and access before recommending that anything switches on.
The first conversation costs nothing and changes what happens next. Bring the board question, the stalled pilot, or the workflow eating someone's day.
Proof you can dial
Call 0117 456 5486. The voice that answers is our own AI call agent, in production, on our own line. We run our practice on what we sell. Hear it running.