Focus Module Leading AI Adoption
Let's do this together
Why have some people on your team been using AI quietly for months while others won’t touch it? What is actually behind the resistance — convenience, fear, loss of status, or a legitimate objection you are not hearing? What changes about your role when part of your expert authority moves to a model? And how does a team arrive at working agreements people actually follow, instead of a policy nobody reads?
Reflect
See your own usage pattern – and what you are modelling for your team without noticing
Learn
Understand the psychology of adoption behind use and non-use, beyond generic change communication
Apply
Leave with a concrete adoption plan and a first draft of your team’s AI working agreement
Training Topics
Why AI rollouts fail
- The three most common false assumptions: rollout equals use, enthusiasm equals competence, training equals behaviour change
- Why the gap between pilot and daily work is the real bottleneck
- What is already happening in your organisation – and how much of it nobody is steering
The psychology of adoption
- Perceived usefulness, perceived effort, social norm: what actually predicts use
- Why the “it saves time” argument might be true, but not necessarily convincing
- Shadow use: what it means when your team uses AI but does not discuss it with you
Reading resistance instead of overcoming it
- Four types of resistance – fear of incompetence, loss of status, doubts about quality, ethical objection – and how to address them
- When resistance is a signal you should take seriously (it happens)
- Making objections audible without turning the room into a tribunal
Your role is changing
- From subject-matter authority to quality authority: what stays, what goes
- Delegating to people and delegating to models — where accountability remains
- Leading by example: making your own learning visible without faking competence
Team agreements that hold
- What belongs in one: disclosure, review obligation, data boundaries, explicit no-gos
- How to develop the agreement with your team rather than announce it
- The uncomfortable part: what happens when someone ignores it
From pilot to routine
- Prioritising use cases: high frequency, low risk, visible result
- What you can measure — and why most adoption metrics measure nothing
- The point where enthusiasm turns: planning for setbacks
Our Method
Our “Leading AI Adoption” masterclass enables a sustainable learning experience through these training and coaching elements:
- One training day
- Work on your real team and your real use cases, not a textbook case study
- Conversation simulations on resistance and role clarity, with structured feedback
- A draft team AI agreement to take away
- Models from technology acceptance and change research, filtered for practical use
- Workbook & documentation
- Exchange in a small, trusting group
- Not a prompting course — tool skills are covered in “Me, my Team & AI”
Meet Your Trainers
Book Leading AI Adoption
Sign up for one of our upcoming trainings through our website.
Want to know more first? Schedule a free consultation with us.
Upcoming dates for
Leading AI Adoption
Currently we don’t have a date planned for this training.
Did you know?:
all of our Trainings are also available as
in-house Workshops.
Learn more →
Training Details
Investment
650 EUR +VAT per person
The price covers 1 training day, participant documentation, lunch, organic snacks and drinks
Number of participants: Maximum 15
Trainer: Felix Krahé, Josepha Kuhl
Language: English in Berlin
Location
“CrispyLoft”
Chausseestraße 116
10115 Berlin (Mitte)
Other Crispy Trainings
