THE LICENSES ARE BOUGHT. THE RESULTS HAVEN’T ARRIVED.

• The company rolled out Copilot, Gemini or ChatGPT, but most people only use it to summarize emails.
• Head office asked for AI-driven cost reductions, but nobody said how.
• Every department is testing a different tool, and nobody knows what can be entered.
• The leadership team is split between daily users and people who have never opened it.
• Pilots never become routine, and the investment is not showing up in results.

If you checked two or more, the problem is not the tool. It is people, culture and decision-making. That is exactly where we come in.

1. 01

   Diagnosis

   Leadership interviews and a review of actual usage (telemetry, where available).

   What you'll get

   A map of where AI is working, where it is stuck and why.

2. 02

   Use cases that matter

   Prioritization using the 3R Filter (Repetitive, Recorded, Reversible).

   What you'll get

   Three to five use cases, each with an owner and baseline metric.

3. 03

   14-day pilot

   One task, one named owner, one baseline metric and 14 days to prove it.

   What you'll get

   Measured results, not perceptions.

4. 04

   Scale and governance

   Internal champions, usage rituals, clear rules on what is and is not allowed, and a report for the sponsor: progress, blockers and next steps.

   What you'll get

   Adoption that continues after the consulting engagement ends.