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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

  1. Stakeholder analysis: who are the advocates, who the skeptics, what are the concerns
  2. Champion program: selection and development of internal multipliers
  3. Training series in waves — not all at once, but in iterative cohorts
  4. Feedback loops with measurable adoption metrics (not just satisfaction)
  5. 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.