AI strategy does not start with use cases and not with tools. It starts with the question of what your company earns its money with, and where it loses time, margin or opportunities today. From there we work in three steps into productive operation.
01
At the end you have3–5 value fields instead of 100 ideas, with the honest list of what we would not build.
With management and departments we capture where value is created and where it is lost today, and cut value fields from that. Every field is assessed by lever and feasibility, calculated conservatively.
02
At the end you haveA target picture that management, IT and auditors sign, and a roadmap with a business case per step.
We clarify what is built on: architecture, data, guardrails under the EU AI Act and an operating model that brings ideas into the funnel in a structured way. That becomes a sequence, with scope, cost, benefit and a name per step.
03
At the end there runsThe first workflow in daily business, the proof that the plan holds.
Step one of the roadmap goes into productive operation with us, on your infrastructure, close to the team. What daily work confirms gets expanded. What it refutes leaves the roadmap before it costs money.
Five things that lie on the table at the end, assessed, in order, and one of them already running.
Instead of a hundred ideas in circulation there are three value fields with names, owners and order. Discussions revolve around the next thing, not around everything.
Every step has scope, cost and metric. The next shareholder meeting needs no new study, just a look at the roadmap.
What runs in daily business feeds numbers back into the strategy. You adjust course instead of starting over every year.
A conversation in which we understand your business, not your tool list. 30 minutes, no obligation.
From kickoff to the assessed map typically a few weeks, depending on the size and data situation of the company. In the first conversation we give you an honest estimate for your case.
That depends on the scope: extent of the analysis, number of areas, depth of the first workflow. In the first conversation we settle the frame and you receive an offer with a clear scope of services. No surprises.
Rarely. Usually the data is better than expected, and where it does not hold, that is precisely a result of the analysis: we show which step needs data first and which works already today.
Then we tell you so. A roadmap that artificially creates projects harms us both; our yardstick is the business case, not the project volume.
Yes, that is the core of our model. Strategy and implementation come from one source: the first workflow of the roadmap goes straight into productive operation with us.