Hamilton Group AI Roadmap

AI, without the hype or the guesswork.

Everyone is telling you to do something with AI. Almost nobody is telling you what, or why, or whether it is worth it for a business your size. We start with your business rather than the technology — then prove it on one thing before you spend real money.

970+End-users supported
40Yorkshire businesses
5.0★Average client rating

How it runs

1DiscoverHalf a day with your team. What actually costs you time and money.
2ProveOne use case, built and measured. Weeks, not quarters.
3EmbedRoll out what worked, properly and securely.
?Or stopIf there is no case for it, we will tell you. That is a legitimate outcome.
The problem

Most AI projects fail before they start, because nobody asked what problem they solve.

Businesses buy the licences, switch on the assistant, and wait for something to happen. Six months later there is a line on the invoice, a handful of people using it to write emails, and no measurable difference to anything. The technology was never the issue — the missing step was working out where it would genuinely help.

🎯

Start with the business

We look at where your time actually goes, what your people repeat every week, and where things fall over — then work out whether AI helps, and where it plainly does not.

📐

Prove it small

One use case, with a number attached before we start and measured after. If it does not deliver, you have spent very little finding that out.

🔒

Do it safely

Your data stays yours. We handle the permissions, the policy and the staff training that stop AI becoming a data protection problem in six months' time.

What you end up with

A plan you could hand to your finance director.

Not a slide deck about the future of work. A short, specific document listing what is worth doing, what it costs, what it saves, and in what order.

  • The things worth doingRanked by what they are worth, not by what is easiest to sell you.
  • The things that are notOften the more valuable half of the list.
  • What it costs and what it returnsReal numbers, based on your own figures.
A prioritised shortlistTypically three to six opportunities, scored on impact and effort
Costed business caseLicences, setup and time, against the hours or money saved
Data readiness checkWhether your information is in a state AI can actually use
Security and governance reviewPermissions, data residency, and what staff must not paste into it
An AI acceptable use policyReady to issue, written for your business
A 12-month roadmapSequenced, with owners and realistic dates
How it works

Three stages. You can stop after any of them.

No long tie-in, and no obligation to carry on. Each stage has to earn the next one.

01
Stage one

Discover

Half a day with the people who actually do the work — not just the management team. We map where time goes, what gets repeated, and what frustrates everyone.

  • Workshop with your team
  • Review of your systems and data
  • Opportunities scored on impact and effort
  • Written roadmap and business case
Takes 2–3 weeks · Fixed fee, agreed up front
02
Stage two

Prove

We pick the strongest opportunity and build it properly — with a measurement in place before we start, so nobody has to take anyone's word for the result afterwards.

  • One use case, built and configured
  • Baseline measured before, results after
  • Training for the people using it
  • Honest verdict — including "this did not work"
Takes 4–8 weeks · Scoped from stage one
03
Stage three

Embed

Roll out what worked across the business, with the governance, security and training that makes it stick — and keep reviewing it as the tools change, because they will.

  • Wider rollout and adoption support
  • Policy, permissions and monitoring
  • Quarterly review of what is working
  • New opportunities as they emerge
Ongoing · Monthly, cancel with notice
Honestly

This is not right for everyone.

We would rather tell you now than take a fee and disappoint you in three months.

✓ A good fit if

  • You have between 20 and 250 staff and no in-house AI expertise.
  • People spend real time on repetitive work — quoting, reporting, summarising, chasing, re-keying.
  • You already use Microsoft 365 or Google Workspace, so the foundations exist.
  • Someone senior is genuinely willing to change how something is done.
  • You want to know whether it is worth it before committing a budget.

— Probably not, if

  • You want AI because the board asked for AI. We will find that out in week one and it will be an awkward conversation.
  • Your data is scattered across spreadsheets, shared drives and three systems that do not talk to each other — fix that first, and we can help, but it is a different piece of work.
  • You are looking for the cheapest possible licence count. That is a procurement question, and a good one, but it is not this.
  • You need a bespoke model built on your own data. That is a specialist build, and we will point you at someone who does it.
Where it usually pays

The same three jobs come up almost every time.

Not because they are glamorous, but because they are repetitive, they happen every week, and nobody enjoys them.

Quotes
and proposals

Someone rewrites much the same document every time an enquiry comes in, pulling numbers from a spreadsheet and paragraphs from the last one they sent. Drafting from your own previous work turns an hour into a few minutes, and the person still checks it before it goes.

Usually the quickest win in a business that quotes for work
The inbox
enquiries and triage

A shared mailbox that everyone half-watches and nobody owns. Sorting what arrives, summarising the long ones, and drafting the reply that gets sent twenty times a month — with a person still deciding what actually goes out.

Most valuable where enquiries arrive faster than they are handled
Write-ups
notes, reports and handovers

Meeting notes that never get typed up, site visits written from memory on the train, the monthly report assembled from the same four places. The recording and the raw numbers already exist — the cost is in turning them into something readable.

Often the one staff ask for once they have seen it

We have deliberately not put savings figures on these. Every business we have looked at has different numbers, and a figure borrowed from someone else's case study tells you nothing about yours. Working out what these are worth in your business is what stage one does.

Why us

We are not an AI consultancy. We are the people who already run your IT.

Which matters more than it sounds. We already know where your data lives, how your permissions are set, which systems are held together with tape, and what your team will actually adopt. An AI consultancy spends the first month finding that out, and bills you for it.

Book a free conversation → Call 0330 043 0069

What that means in practice

No discovery taxWe already understand your estate.
Security is not an afterthoughtThe same team that secures your data configures the AI that reads it.
We are still here afterwardsNot a project team that leaves with the knowledge.
Harrogate, not a call centreYou will speak to the person who did the work.
Questions

The things people ask us first.

Do we need to be "ready" for AI before we start?

No — establishing whether you are ready is part of stage one. If your data is in a state that makes AI unworkable, we will tell you that, explain what would need to change, and you can decide whether it is worth doing. Finding that out in a fortnight is a good outcome, not a failed one.

What does it cost?

Stage one is a fixed fee agreed before we start, based on the size of your business and how many areas you want us to look at. Stage two is scoped from what stage one finds, so you know the number before you commit. Stage three is monthly with notice.

The first conversation costs nothing and carries no obligation. If it is obvious we cannot help, we will say so on that call.

How long does it take?

Stage one is typically two to three weeks from the workshop to the finished roadmap. A first use case usually runs four to eight weeks depending on what it is. You will have something you can act on inside a month.

Do we have to use Microsoft Copilot?

No. Copilot is often the sensible answer if you are already on Microsoft 365, because the data governance is already in place — but it is expensive per user and it is not right for everything. Sometimes the answer is a much cheaper tool, an automation with no AI in it at all, or fixing a process that should never have needed either.

What happens to our data? Is it used to train anything?

This is the question we get asked most, and it is the right one. With business and enterprise tiers of the main platforms, your data is not used to train the underlying models — but the consumer versions of the same products generally do, which is why staff using personal accounts for work is a genuine problem.

Part of what we do is make sure you are on the right tier, that the settings are correct, that permissions are tight enough that the assistant cannot surface things people should not see, and that your staff know what they must never paste into it.

Will it put people out of work?

In the businesses we work with, it has not — it has removed the parts of jobs people liked least. We would be wary of anyone who promises headcount reduction as the headline benefit for a company of your size; the realistic gain is capacity, not redundancy.

That said, it is a fair question to ask your team, and it is better asked openly at the start than discovered later.

What if we do stage one and decide not to go further?

That is a perfectly good outcome and it happens. You keep the roadmap, the business case, the data readiness assessment and the policy — all of which are useful whether or not we do anything else. There is no obligation to proceed and no penalty for stopping.

Who from our side needs to be involved?

Someone senior enough to change how something is done, and two or three people who actually do the work day to day. The second group matters more than the first — the best opportunities almost always come from the people doing the repetitive task, not from the management team's view of it.

Realistically, half a day for the workshop and a couple of hours each afterwards.

Do we need to be an existing Hamilton Group client?

No. It helps, because we already know your systems, but we run this for businesses we do not otherwise support. There is no requirement to move your IT to us, now or later.

Start with a conversation, not a proposal.

Half an hour on the phone or in person. We will ask what takes up your time, tell you honestly whether we think there is anything in it, and you can decide from there.

No obligation · No sales pitch · If we cannot help, we will tell you and suggest who can