Processes
Where time disappears into repetitive tasks and what that costs per year.
For organisations that have decided to move on AI but are unsure where to start. We answer three questions: where the value lies, whether you hold the data needed, and which order of steps avoids wasted money. Along the way you get a clear picture of what the EU AI Act and GDPR expect from you.
You receive a decision document for management, not a slide deck about what modern technology might do.
Where time disappears into repetitive tasks and what that costs per year.
What has been collected, where it sits and whether it can be used. This is usually the sticking point.
Use cases plotted by value and complexity. Starting with something simple and visible is almost always wise.
Classification under the AI Act risk tiers, a lawful basis under GDPR, transparency duties and which systems need extra documentation.
Confidential information leaking through prompts, liability for personal data, dependence on a single non-EU vendor.
Sequence, resources and checkpoints where you decide whether to continue.
The analysis takes four to six weeks depending on company size. Interviews and workshops are held online.
Department heads tell us where their teams' hours actually go.
We inspect what really sits in the systems, not what procedures say ought to be there.
Every use case is placed by value and effort, with the reasoning written out.
The plan is presented to management and refined after the conversation.
A plan with no internal owner stays a slide deck. Someone has to push it across departments and answer for the outcome. Without that role, the document is filed away and resurfaces a year later exactly as it was.
No code is written here. You get an answer to what to tackle and in which order. If you already have an obvious use case, skip the strategy and go straight to a pilot.
The managers of the areas under consideration and whoever is responsible for IT. If the business side steps back, the result becomes a technical exercise detached from how work is really done.
Nearly every company using AI is covered in some way, but for most the obligations are manageable: transparency, AI literacy among staff and proper handling of personal data. We map where you stand.
A negative answer is valuable too: the money stays in the business instead of funding a project that would not have delivered. We would rather say the timing is wrong than sell you something that cannot pay back.
Share what you hope AI will do for you and what you have tried already. We will dig in and give you a candid assessment.
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