What AI really delivers — we measured it

"AI saves 40 % of your time." Everyone knows figures like that — but where do they come from? We accompanied a real rollout for 30 days, classified every single chat and worked out use case by use case how much work AI actually saves. No estimate, no slide from an analyst report — measured. We take you through the study step by step.

Step 1 — we analysed it

An entirely normal month at an entirely normal company. Not a lighthouse project, but the working day of 170 people across every department.

Step 2 — how the study was set up

Instead of one blanket productivity figure, we assigned every chat to a category, rated its complexity and its success — and linked it to a use-case catalogue that records a conservative time saving for each task. Only that produces a real ROI.

Step 3 — there are plenty of use cases

Almost a quarter of all requests are complex tasks — the platform is not used for playing around but for real problem solving.

Step 4 — what the AI is actually used for

Every category has its own story. In the use-case map you can zoom into each department — with real tasks and example prompts.

Step 5 — three kinds of value

We deliberately separated the benefit into three pots — and only converted the first two into euros:

• Time saved — AI speeds up repetitive tasks.
• Enablement — AI makes possible what would otherwise not be done at all.
• Risk reduction — AI supports critical checks (sanctions, customs, contracts).

From pure time alone, this is what adds up in one month:

Step 6 — what does that deliver per person?

What this means for you

The lever transfers: the value arises in the breadth — across every department, not in a single lighthouse use case. That is exactly what the use-case map shows: where AI really lands in everyday work.