Operating model & governance design · Zürich
Most AI initiatives fail on structure, not technology. Lead2Coach redesigns the operating model that produced the failure, and coaches the leaders who have to run it afterwards.
Why we exist
Most AI and transformation efforts fail for structural reasons: unclear decisions, misaligned incentives, roles no one redesigned. Redesign the system, and behavior follows.
4 in 10
firms making significant AI investments report no business gains.
MIT SMR / BCG · 3,000+ managers
70%
of transformations fall short. The operating model, not the technology, decides.
BCG · 2020
40%
of agentic AI projects will be scrapped by 2027.
forecastGartner · 2025
The practices
Three practices, one craft: leaders who understand the system they are in, and can move it.
Champions who can run an AI portfolio, and get it funded.
Pipeline Sprint
Leaders and teams who carry the change without us in the room.
Operating model design · Change-team enablement
Teams that take an idea all the way to commercial.
Innovation Engine
Where the line is
Every practice ends the same way: capability that stays after we leave. The software a champion uses to hold the portfolio is Aptavo, and it is a separate product.
Our principles
Tracked behaviors, individual experiences, observable patterns.
Tracked behaviorSentiment surveys
Call things as they are. Set clear intentions.
Named trade-offsConsensus theater
Hypothesis-driven interventions. Fast feedback loops. Measurable results.
100-day cycles18-month roadmaps
The AI capability fit framework
The right AI operating model depends on your culture and governance, not the technology. Each demands different governance, culture and leadership. The most common mistake is running all three with the same rules.
AI that takes repetitive work off people's plates. Centralized governance. Structured hierarchy. Fits regulated industries and operational excellence.
AI that helps experts make better judgment calls. Distributed decisions. Knowledge work. Fits professional services and expertise-driven cultures.
AI that runs a process end-to-end. Platform business. Governance by exception. Fits technology and high-agility cultures.
Two short reads
Neither scores your organization and neither issues a verdict. Both do sums on what you tell them and hand the result back, which is what makes them worth arguing with. Nothing you type leaves your browser.
Rate seven behaviours twice: what leadership says matters, and what actually happens. The finding is the distance.
Write down what actually happens, then say what it costs and whether it can be named. Those two answers are what separate a culture from an open problem.
Thinking out loud
Each demands different governance, culture, and leadership.
AI gets politely absorbed until it is harmless.
Most readiness assessments ask the wrong questions and produce a comforting number.
People are not resisting change. They are responding rationally to their position.
Adoption stalls because of what leadership did with the first gains.
For some roles, AI is not augmentation. It is replacement. The honest version.
The book
How to lead large-scale organizational change without losing the people or the plot. Written from inside the work, not from a framework.
Next
Tell us the decision that keeps not getting made, and who would have to agree to it. That is enough for a first conversation.
