Advisory
Change Management & Training
Most AI projects fail not on technology but on adoption. We develop internal champions and run follow-up training sessions.
Included
- Adoption programs
- Champion selection
- Follow-up trainings
- Feedback loops
How we work
- Stakeholder analysis: who are the advocates, who the skeptics, what are the concerns
- Champion program: selection and development of internal multipliers
- Training series in waves — not all at once, but in iterative cohorts
- Feedback loops with measurable adoption metrics (not just satisfaction)
- Follow-up trainings when models update or new use cases emerge
Examples from our practice
- Swiss bank: 80 employees trained in four cohorts; adoption stable at 70 percent after 6 months
- Pharma company: champion program with eight internal multipliers; internal workshop frequency tripled
What you concretely get
- Adoption as a measurable quantity, not a gut feeling
- Internal champion structure that carries follow-up use cases
- Training material that stays with the company
- Realistic adoption expectation and escalation paths for problems
Engagement model
3-9 months of intensive accompaniment, then optional quarterly reviews. 1-2 advisory days per week in the main phase.
Book a session
Schedule a 30-minute discovery call to clarify your situation and the right level of accompaniment.