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AI strategy & delivery

AI strategy that gets built.

We find where AI really pays back in your company, choose the best openings and build them. One team, from the first day to production.

years in the field
10+
systems delivered nationwide
12
AI projects
100+
enterprise AI products of our own
2
Why now

AI can win a Nobel Prize, but cannot read your company.

We think 2027 will be the year companies run with autonomous AI agents pull ahead. It starts with a digital mirror of your company: who does what, from which data, in which system.

How we work

Five phases, each worth having on its own.

The first two alone put decision-ready material in your hands. You do not have to sign up for the whole build to get something out of it.

  1. 01 · 4–6 weeks

  2. 02 · 2–3 weeks

  3. 03 · 1–2 weeks

  4. 04 · 2–12 weeks, pilot

  5. 05 · Ongoing

Why us

Five reasons to start your AI strategy work with us.

/01

Strategy and delivery, one team

  • The team that writes the strategy is the team that builds it.
  • Most AI strategies stay on paper because whoever wrote them cannot deliver them. What we propose, we take on, with a deadline and a price.
/02

Observation, not questionnaires

  • We sit next to your people and watch how the work is done.
  • Every proposal rests on evidence recorded during real work, not on assumptions or an industry template.
/03

Small steps, small risk

  • Five phases, each ending in something usable, and you can stop after any of them.
  • What the first two phases produce is yours even if you go on without us. If an idea does not pay, we say so early and plainly.
/04

Success agreed up front

  • Before we build, we write down what success means, and we are held to it.
  • Every opportunity is scored on impact, simplicity and certainty, and the results are measured again after go-live.
/05

We run on what we sell

  • A twenty-person team with its own AI agents in daily use.
  • We took our own company through the same process first, so we know where an organisation stalls and what keeps a solution in use six months on.
AI Shadowing

We watch the work first, then we suggest a change.

AI Shadowing draws the digital mirror of your company during real work: its processes, its data and its systems. The best openings hide in small daily routines that nobody mentions in a workshop, because everyone is used to them.

Let's talk
AI Shadowing · what we found

What shadowing finds

Two colleagues spend 90 minutes a day copying data from PDF invoices in six recurring layouts

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AI Menu

  1. 01

  2. 02

  3. 03

  4. 04

Reference

This is exactly what happened at DMS One.

Isolated AI experiments became how a 48-person software company works. Not a tool rolled out, but a change in how the work gets done.

Read the case study
Groundwork

At a smaller company, strategy starts with the groundwork.

Where legal, data protection or AI Act readiness is still missing, it goes to the top of the roadmap, before anything is built.

AI Due Diligence & Compliance
Next service · Due Diligence

Risk and governance audits, done properly.

If you're inheriting a system, preparing for rollout, or under compliance pressure, you need a real audit, not opinions.

Open the service
Next step

Let's look at it over a coffee: how far this could go for you.

No commitment: an hour on where you stand today and what the first sensible step would be. The rest builds from there.

Let's talk

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