AI implementation, not AI advice

Find the one internal app worth building.Then actually ship it.

Most businesses do not need another AI strategy deck. They need a harness: a unique, named app or platform their people log into, with real UX, built around AI they can actually use. We map how the business really runs, recommend one next step, build it for the people we interviewed, and then stay on to grow it.

For owners and leadership teams of established small and mid-sized businesses.

  • Fixed fee audit and pilot
  • Unlimited development
  • Turnaround in the contract
  • No hourly billing
The problem

You already know AI matters. That is not the hard part.

The hard part is that every route in looks either trivial or enormous. A chatbot nobody opens, invisible automations nobody on the team can see, or a transformation programme with a two-year horizon and a budget to match. None of those is a sensible first move for a business that still has a quarter to run.

So it stalls. A few licences get bought, a few experiments run in isolation, and a year later nothing has structurally changed. The named app their team would actually open never gets built, because nobody has looked closely enough at how the work actually moves to design it.

That is the whole job here. Look closely, pick the one internal app worth building, ship it, put it in front of the people who do the work, then keep going.

What that looks like in the business.

Examples of named apps a team could log into. Not a list of work we have already shipped.

Deal room
Sales leadership and AEs log in. The live pipeline, the next action, and the messy exceptions sit in one place, instead of a spreadsheet plus Slack.
Operations queue
The people who run one messy process log in: handoffs, status, exceptions. The work moves in the app, so nobody has to chase a thread.
Briefing desk
Marketing or sales ops log in. A request comes in, an AI draft comes back, a human signs off, and the record stays in one app.
Weekly operating view
The owner or leadership team logs in. They get the few numbers and flags they actually use, not another BI graveyard.
How we work

Three phases. Each one ends in a decision.

Nothing here commits you to the next thing. Every phase is scoped so that stopping at the end of it still leaves you better off than when you started.

  1. Audit

    Fixed fee · about 4 weeks

    Interviews with three to five of your people, then a map of how work actually flows through sales, marketing and operations. You get a written report, a prioritised opportunity map, and one recommended next step, scoped and costed — usually a named app those people would log into. The report can also say do not build.

    Decision point

    Stop here and the report is yours to act on, with us or anyone else.

  2. Pilot

    Fixed fee · 4 to 8 weeks

    When the next step is an app, we build it and put it in front of real users, in their business. Not a demo to admire: the thing they log into, with a short adoption note so they can run it without us.

    Decision point

    Stop here and the app is yours, running.

  3. Strategy and Build

    Monthly · pause anytime

    Ongoing AI strategy plus unlimited development on the internal platform. A monthly session to decide what the app should do next, then the building itself, for one flat fee and inside a turnaround window agreed in writing.

    Decision point

    Pause or cancel whenever you like.

Phase three

Strategy and Build

This is the part clients stay for: someone senior deciding what the platform should do next, and as much development as you can find work for. More of the app they already use, or a second one if that is the honest next step. It behaves like a product rather than a retainer, so here is the specification.

Strategy
A monthly session on what is worth building next.
Development
Unlimited requests against the platform. Add them whenever you think of them.
Turnaround
A fixed window per request, written into the contract.
Billing
A flat monthly fee. Never hours.
Track record

Twenty years of shipping systems, not recommending them.

Client case studies from this offer are still in flight. Rather than fill the space with logos that are not ours yet, here is the prior work the judgement is built on.

Millions/day
Scaled e-commerce systems from thousands to tens of millions of orders a day, on less infrastructure.
40–60%
Time saved in mapped conveyancing workflows after a single targeted change.
20 years
Building and scaling production systems, still writing the code today.
Who does the work

Senior-led, and the senior stays on the work.

Matt Todd runs every engagement end to end: the interviews, the recommendation, and accountability for whatever ships. A technical founder who still writes code, so nothing gets recommended that has not been thought through as something people will actually log into.

Where a piece of work needs a particular specialism, it goes to someone from a network built up over twenty years, briefed and reviewed by the person you spoke to. Senior judgement throughout, and capacity that scales with the work rather than a bench you pay for either way.

Next step

Worth a conversation?

Thirty minutes. We will talk about where your team’s time actually goes and whether an Audit would find anything worth acting on. If I do not think it would, I will say so on the call.

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