When to call.

The roadmap is slipping, delivery is slowing down, and no one knows exactly why.
Engineering costs keep rising with no visible progress.
Several platforms inherited from acquisitions, and no decision made.
The CTO is leaving, or isn’t the right fit for the next stage.
Every developer uses an AI assistant; the team as a whole has no rules and no metrics.
An AI prototype that impresses in demos and never made it to production.

Formats.

Diagnosis

Deliverables

7 working days over three weeks

€10,500 excl. VAT fixed fee

Diagnosis · Plan

An assessment of how AI is used across the team and the product, followed by a prioritized plan.

7 working days over three weeks

Fixed fee — pricing on request

Implementation over several months, with the teams.

Execution

Taking over an organization, managing managers, keeping delivery on track, preparing the successor.

Assessment requested by the CEO, then transformation

Situation: Heavy client pressure, delays, tension: the team works harder without becoming predictable.
Analysis: Teams, methods, delivery, client interface. Rules restored: release cadence, release content, non-negotiable lead times.
Outcome: Operations back on a more predictable track, and a reassured client.

AI · 2026, in a technology leadership role

Situation: An engineering team in healthcare, initially reluctant to use AI.
What was done: Potential identified, experimentation organized, an internal champion brought forward, then the whole team supported through the change.
Outcome: An agent-based development pipeline, from specs to CI/CD, built by the champion, used in production, with human sign-off.

A few lines are enough: the company or portfolio company, the product, what’s happening, and what needs deciding.