Hello Reader !

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We had a lovely sunny and warm week with Halloween 🎃 and kids going trick-or-treating. It is like GenAI adoption. It can feel scary (like horror stories of failed implementations 😱) or fun (like discovering magic that transforms your work ✨). Over the past two months, I've coached 5 senior leaders and their teams on GenAI adoption—preparing for end-of-year reviews and planning 2026 goals around GenAI in healthcare and pharma.

Most organizations roll out tools, GenAI training, e-learning, exchange sessions. It's all about what to do with the tool, not why. They start with the tool, not the end user.

Today, I'll share my secret recipe: five steps to help senior leaders have deep, fun (and yes, sometimes frustrating!) conversations around GenAI.

What you'll take away:

• The two approaches to GenAI adoption (and why one fails)
• My 5-step framework to make GenAI stick
• Simple habits that create real change

Before we begin, how can I help you?

• Coach you and your team to adopt GenAI witha keynote during team events or my coaching program here​​
• Do-design and facilitate your 2026 strategy & planning with creativity, fun, and energy.​
• Audit and improve your innovation, customer centricity, and ability to adapt to a complex and ever-evolving environment here​

Get comfortable for your 5 minutes of sparks to hack.

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✨ Spark

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Most organizations roll out tools, GenAI training, e-learning, exchange sessions. It's all about what to do with the tool, not why. They start with the tool, not the end user.

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So here are the 2 approaches I see: user-focused vs tool-focused.

Approach #1 (Tool-First): Looking at the tool → then the features → then how to use it in a specific context (e.g., GenAI in access, in marketing, GenAI in HR).

Approach #2 (User-First): Looking at their goals, frustrations, or wishes → identify use cases where GenAI could help achieve their goal better or faster → determine capabilities needed → select the right tool

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As an innovation expert, I am used to starting from the end user's needs. So that has been my go-to default way to think, test and apply GenAII. It turns out to be the best, and I think today the only way to really succeed. I will show you how.

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✨ Hack

Here is my coaching approach, with five steps, and how you can apply them to your team.

✏ Step 1: Expand Their Horizon with the 4 GenAI Profiles

During your first coaching session, I show the 4 AI profiles in a personal "guided tour" of my company's setup at Bambooster:

• Trainee / Personal Assistant: Handles routine tasks like email triage post-vacation (using Gemini and Copilot)
• Amplifier: My "Keynotes Guru" helps me organize presentations, improve structure, and find metaphors (in Claude)
• Coach & Trainer: My "Garden Coach" helps me learn and plan what to do each season (in Mistral)
• Expert: "Fifi," my fiscal expert, helps prep discussions with my accountant (in ChatGPT)

This visual tour creates curiosity. It shows possibilities without overwhelming them with features.

✏ Step 2: Create interest and curiosity

Now comes the magic moment. Ask questions like:

• What are your goals for the next year or quarter?
• What challenges are you facing ? What's frustrating you right now? What takes too much time in your week?
• What would you dream of doing that you can't do now?

Real examples from my coaching:

• Onboarding challenge: Use GenAI to help new members learn org chart, processes, and compliance
• Strategy planning: Use GenAI to define OKRs, analyze market trends, and prepare for 2026
• Pricing negotiations: Use GenAI to prepare for a negotiation, anticipate questions and arguments

The goal? Create interest and curiosity about potential, not yet the "doing."

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✏ Step 3: Clarify the Tech Landscape (Make It Simple)

Here's where people get confused. I use a systemic approach. Don't just describe tools; explain their capabilities (aka features).

Distinguish between embedded GenAI and standalone GenAI:

• LLMs inside daily tools (Google Docs, Slides, Mail, Calendar → Gemini, Copilot)
• LLMs via chat interfaces (ChatGPT, Claude, Mistral)

Ok, this is the simplistic view without "connectors," but most corporate employees, anyway, don't need to deal with that.

Note who has direct internet access:

• Some use cases (market trends, legal updates, tech intelligence) require web access.
• Clarify whether direct internet access is required vs. having internet access knowledge until the cut-off to train the model. See the date below: if you have Gemini, it has the knowledge from the internet until January 2025, so this is pretty recent anyway (even if live internet access is blocked).

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✏ Step 4: Match each use case to the best available tool:

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Because I have been a GenAI practitioner for almost 3 years and work in pharma, healthcare, and digital health, I can easily identify potential use cases, keeping the tool's limitations and the end user's context in mind.

1. Email management → Copilot or Gemini in emails
2. Strategy work in scenario planning → Mistral, ChatGPT or Claude
3. Team agenda, goals, and 1:1 preparation → Gemini or Copilot in drive, agendas, meeting notes..

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✏ Step 5: Give Simple Tech Habits (No Overwhelm)

Finally, I give them three simple habits to start:

• Set up voice-to-text: Most people are too lazy to provide enough context when writing. Speaking is faster and more natural.
• Teach a systematic prompting structure: Use this simple framework: I teach my Magic Prompt Framework and provide ready-to-use prompts.
• Define a focus and a deadline: "Test this for 2 weeks and report back what worked."

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So remember, always start with the end user, not the tool.

That's it for this week! I hope you enjoyed it. Let me know! I respond to every person who writes to me!

See you in two weeks. Keep the spark alive, and bet on yourself 💪

What's up with me?

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What happens when your favorite GenAI tool suddenly disappears? Last week, mine did. For months, I used a voice-to-text app for everything: recording, formatting, and improving my writing in real time. Then one morning, it stopped working. And I immediately felt the impact: my motivation to provide context faded, and my productivity slowed. Now I've switched to another tool (WhisperPro, downloaded locally). At this moment, you see how much you have shifted your ways of working with GenAI (or become dependent?). Did it happen to you?