Services

AI that fits how your business already works

1 Analyse Where AI fits, and where it doesn't

2 Propose A roadmap you can act on

3 Develop The tools and agents themselves

4 Implement Connected to what you already run

5 Embed Adopted, measured, and maintained

Analyse

Most AI projects fail before any code is written. The idea is vague, the data is not ready, or nobody agreed what success looks like.

We map where AI genuinely fits your business: which processes are slow, repetitive, or expensive, and which of those a current model can realistically improve. Where it does not fit matters just as much, since that is what keeps you from spending a build on the wrong problem.

A review of your processes, tools, and data, with the AI opportunities ranked by effort and payoff
A shortlist of concrete use cases, each with a rough cost, timeline, and the cost of getting it wrong

A desk with handwritten notes, a calculator and a keyboard

Propose

The analysis is only useful if it turns into a decision. We turn it into a prioritised roadmap: what to build first, what to leave alone, and what it will take in data, budget, and people.

A roadmap your team and leadership actually agree on, so the next step is not a debate
Clear scope for what happens next, and who owns it

A presenter walking through a plan next to a flipchart

Develop

A roadmap is only useful if something gets built. We design and build the tools, from a single automated workflow to AI agents that handle a task end to end, using agentic AI or low-code, whichever gets you to a working, maintainable result faster.

Working tools and agents, built and tested against your real workflow, not just a demo
A build that is scoped to what the roadmap actually calls for, not the most impressive thing we could ship

Hands sketching technical drawings with sticky notes on the table

Implement

We integrate what we build into the infrastructure you already have, rather than adding another disconnected system, and run the project: scope, planning, the developers or vendors involved, and the handover.

The transition matters as much as the build. New tools change how people work, and a tool people work around is a tool that failed. We plan the rollout, bring the people who will use it in early, and manage the change so adoption is the default rather than a fight.

Tools connected to your existing systems and data, not bolted on beside them
One team owning scope, timeline, and the people involved, with leadership kept in the loop
A rollout plan that treats adoption as part of delivery, not an afterthought

A team working together at shared desks while a colleague guides them

Embed

The last stage is the one most projects skip. A tool that works in a demo is not the same as a tool that works on a bad week.

We set up how you measure whether the tool is doing its job (accuracy, time saved, where it still needs a human) and refine it based on real use. Then we make it stick: clear documentation, training for the people who use it, and a small routine for keeping it monitored and current as models change.

Education runs through this the whole way. Your team does not need to become AI engineers, but they should understand what these tools can and cannot do, so they use them well and notice when something is off.

A simple way to track whether the tool earns its place, reviewed after real use
Documentation, hands-on training, and a maintenance routine your team can run without us
Sessions that build practical AI literacy across the people who work with it

Keyboard keys spelling ENTER on a coral background

Who this is for: businesses that want to use current AI tools well — not experiment for the sake of it — and want one team accountable from analysis through to a business that no longer needs us for the day-to-day.

Work with us

If you have a process you think AI could improve, or you are not sure where to start, send us a message or book a call. The first conversation is free and usually enough to tell whether there is something worth doing.

helladenhollander@techontheradar.com LinkedIn

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Pick a time that works for you. 30 minutes, no charge, no obligation.