[ ENABLED BY AI / SME LEADERSHIP TEAMS ]
You bought the licences.The work never changed.
Almost every company we meet has already paid for AI and has almost nothing running on it. Start with forty-five free minutes: answer six questions about how your week runs, and leave with the three jobs in your business worth automating first — ranked, with the hours each one costs you now, and yours to keep whether or not you go further.
Recurring work
- Chasing unpaid invoices4h / wk
- Rekeying orders between systems6h / wk
- First drafts of routine replies5h / wk
- Pulling the weekly numbers3h / wk
After the workshop
Drafted, sorted and chased automatically, inside the software you already own.
Nothing reaches a customer until one of your people has approved it. That rule is written down on the day.
Start at no charge
The AI Opportunity Audit takes forty-five minutes and you keep what it finds.
Then one day
09:30 to 17:00, plus thirty days of support while your team runs it.
Your own software
Built where the work already happens. Nothing new to buy or learn.
Where the time goes
None of this is a technology problem.
It is a decision problem. Nobody has said out loud which jobs the machine is allowed to do, who checks its work, and what happens to the hour it gives back. Until somebody does, the licences sit there. See how many of these you recognise.
- You bought licences for everybody, and you could count the habitual users on one hand.
- Three departments are quietly running their own experiments, and nobody can say which are worth keeping.
- The same figures are rekeyed between two systems every week, and everyone stopped mentioning it years ago.
- Your best people lose the first hour of every day to work that carries no judgement in it.
- A client, an insurer or an auditor asked what your AI policy is, and the answer took a fortnight to write.
- You have sat through a demonstration that was genuinely impressive, and still could not say what it would change on Monday morning.
Start here
The AI Opportunity Audit.Forty-five minutes, no charge.
We do not ask a company to commit to anything before it can see what its own recurring work costs. So the audit comes first, free, and what it finds is yours whatever you decide to do next.
- What it costs
- No charge
- How long
- 45 minutes
- Preparation
- Six questions, about ten minutes
- 01
Six questions before the call.
What the business does, which systems it runs on, and where the week goes. It takes about ten minutes and it is the only homework there is.
- 02
Forty-five minutes with Peter.
He walks you through the recurring work he can already see in your answers, and the three jobs he would automate first — with the hours each one costs you now and an honest read on how much of it a machine can take.
- 03
The ranking, in writing.
You keep it whether or not you ever book anything. It is a first pass over the same audit that opens the workshop, so you are seeing a sample of the actual deliverable rather than a brochure.
- 04
Then a straight answer.
If a workshop would pay for itself, Peter says so and quotes it on the call. If your best next move is something you can do yourselves in an afternoon, he says that instead, and you are welcome to go and do it.
If you go further
Four things you keep, whatever happens next.
The AI Enablement Workshop is what the audit leads to when the numbers justify it. One day, one fixed fee quoted once the scope is clear, and everything below belongs to your company from the moment the day ends.
01
A ranked map of the work AI can take on.
Every recurring job in the business set out by name, with the hours it consumes, who does it, which systems it touches, and an honest read on how much of it a machine can take without a person losing control of the outcome. Delivered before the day, not during it.
02
Two or three jobs running inside your own software.
Built in the afternoon, in the tools your company already pays for — your email, your documents, your chat, your CRM, your finance system — so there is no new subscription and no new interface for anyone to learn. Each one runs end to end on real work before anybody goes home.
03
A written playbook and an AI policy your company keeps outright.
Every job set out in plain English: what starts it, what the AI does, what a person checks, and what must never go near a model. Enough to hand a new starter, and enough to show a client or an auditor who asks. There is no licence and nothing to renew.
04
A team trained on what was built, rather than left to work it out.
The people who will run each job are in the room while it is built, and they run it themselves before the day ends. Training happens on your own work rather than on a demonstration, which is the difference between a team that uses a system and a team that quietly goes back to doing it by hand.
It runs on what you already have
- Microsoft 365 and Google Workspace
- Teams, Slack or whichever chat your team already lives in
- Your CRM, whichever one you already run
- Your finance and invoicing system
- The shared inbox, the shared drive and the spreadsheets people actually use
We do not ask you to buy anything to take part, and we only recommend new software when a genuine gap is blocking the work. That is rare.
The day
Three modules, one day, nothing theoretical.
The full audit is finished before you arrive, so the day is spent deciding and building rather than gathering. Times are indicative — the structure is not.
01 / Before the day
Work Audit
The full version of the audit you have already seen a first pass of, across the whole team: every recurring job, scored and ranked by how much of it a machine can safely take.
02 / The morning
Use Case Design
Your leadership team decides which two or three jobs go first, and we design each one end to end — what starts it, what the AI drafts, what a person signs off.
03 / The afternoon
Installation
The chosen jobs are built into the software you already pay for and run end to end on real work while you watch.
09:30
What the audit found
We open with your own work in front of you: every recurring job, the hours it takes and how much of it a machine can take. Most teams spend the first twenty minutes arguing with the numbers, which is exactly the right use of them.
10:30
Choosing what goes first
Two or three jobs, chosen by the people who own them. We are looking for work that is repetitive, high volume and low judgement — and deliberately avoiding anything where being wrong is expensive.
11:30
Designing the guardrails
What the AI is allowed to draft, what a person must approve before it reaches a customer, and what information never leaves the building. This is the half hour that keeps you out of trouble, and it is written down.
13:30
Building it
The jobs are built in your own tools, on screen, in the room. No sandbox, no demo environment, no slide of what it could look like.
15:00
Running it on real work
Real work from your own week goes through end to end while you watch. You correct the output in front of us, and we tune it until your team recognises it as their own standard.
16:15
Handover
Who owns each job, what the weekly hour looks like, and the playbook, the prompts and the policy handed over. You leave owning it.
Who runs it
Peter O’Donoghue
He installed this in his own company first.
Peter O'Donoghue runs an AI company whose day-to-day operations — the research, the reporting, the chasing, the weekly numbers — are carried out by a fleet of AI agents he built and supervises. Nothing you are shown is theoretical. It is the way his own business runs.
He knows where AI stops being useful.
Twenty years inside B2B firms before he founded an AI product, which means he knows precisely where the technology earns its keep and where it will embarrass you in front of a customer. The work comes first and the AI comes second, in that order.
He runs it himself, start to finish.
There is no delivery team behind the curtain. Peter does the audit, runs the day and answers every question in the month that follows, which is the reason only a handful of companies are ever underway at once.
How it works commercially
Nothing is quotedbefore it is understood.
One fixed fee for the whole engagement, agreed on the audit call once the scope is clear, against a scope that does not move afterwards. No tiers, no day rates, no licence and nothing to renew. If the audit shows the work would not pay for itself, Peter will say so on the call.
Book the free audit- Where to start.
The AI Opportunity Audit: forty-five minutes, no charge, and you keep the ranking whether or not you go further.
- Duration.
One day in the room, plus thirty days of implementation support.
- Scheduling.
A workshop can usually be underway within two to six weeks, depending on the time of year.
- Where.
At your offices, anywhere in the UK, with travel included in the fee.
Online if your team is split across sites, in the same hours.
- Participation requirements.
One director completes the intake form, roughly thirty minutes.
Three to six people attend the full day, 09:30 to 17:00 — the people who own the work, not only the people who own the budget.
The team gives roughly one hour a week each across the thirty days that follow.
- What you need in place.
Administrator access to the software you already use, so the jobs can be built rather than described.
Nothing else. We do not ask you to buy anything to take part.
- Fee.
One fixed fee for the whole engagement, quoted on the audit call once the scope is clear. No tiers, no day rates, no licence and nothing to renew.
- Payment terms.
Prepaid and non-refundable. Payable in full by bank transfer before the audit work begins.
Before you book
The questions we are asked first.
What is the catch with a free AI Opportunity Audit?
There is no catch, but there is a reason. The audit is the part of this work that sells the rest of it: once a leadership team can see the hours their recurring work actually costs, ranked, with their own job titles attached, the decision usually makes itself. Peter would rather spend forty-five minutes finding out whether that is true for your company than spend it persuading you of anything. If it turns out there is not enough there, he will say so, and you keep the ranking either way.
What does the audit actually cover?
Six questions beforehand — what the business does, which systems it runs on, where the week goes — and then forty-five minutes on the recurring work those answers reveal. You leave with the three jobs worth automating first, the hours each one currently costs you, an honest read on how much of it a machine can safely take, and what would have to be true for it to work. It is a first pass over the same audit that opens the workshop, so you are seeing a sample of the real deliverable rather than a brochure.
How much does the workshop cost?
One fixed fee for the whole engagement, quoted on the audit call. It is fixed because the scope is fixed: the full audit before the day, the day itself, the jobs installed inside your own software, the playbook and the policy your company keeps, and thirty days of support while your team runs it. There are no tiers, no day rates that creep upwards and nothing to renew. The reason it is quoted rather than published is that the honest answer to whether it is worth it depends on what the audit finds, and neither of us knows that before the call.
There are 16 in total, including what happens to your data and what to tell your team. Read the rest, or ask Peter directly.
Forty-five minutes, and you will know.
Whether there are hours in your business worth reclaiming, which three to take first, and whether any of it needs us. That last answer is genuinely allowed to be no.
Book the free AI Opportunity Audit