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What I do for you.

The whole human side of AI adoption, end to end. The goal of every mandate is your self-sufficiency, not your dependence on me.

Generative AI training

For the whole team, leadership included

From the front line to leadership, everyone learns what AI does well, where it gets things wrong and how to use it with good judgment. Along the way, I spot your natural leaders and equip them to bring their colleagues along.

  • Individual or group training, on the tools you already have
  • Exercises on your real tasks and documents, not generic examples
  • We start with leadership: a team follows the example it sees
  • A reference guide for every participant

Adoption strategy

For leadership and your internal champions

We start from your reality, not from a tool. Together, we build a plan with a clear horizon, internal champions and honest indicators. The goal: AI becomes a reflex, not a pilot project forgotten in a drawer.

  • An inventory of what your team is already doing, often more than you think
  • A few high-impact uses, rather than one big project
  • Internal champions identified and equipped
  • Tracking real adoption, not just the number of licences

Leadership coaching and change management

For whoever is leading the project

I support the leaders and teams driving the change, from launch until it sticks. I don't take over your project: I equip you to lead it yourselves.

  • Coaching for the leader or whoever is driving the project
  • Communicating with employees: what to say, when, and how to address concerns
  • Handling resistance, without forcing it
  • Follow-ups spaced out over time, until you no longer need them

AI governance and Law 25

For leadership

Governance framework, acceptable use policy, rules for outside consultants. For an SMB, the real risk is often legal or contractual: Law 25, your clients' data.

  • An acceptable use policy written in plain language
  • Rules for consultants and subcontractors who use AI on your files
  • A presentation to employees so the policy is understood, not just signed
See the full approach

Process analysis: AI or automation?

For teams with repetitive tasks

Before talking about AI, I look at how the work actually gets done. Often, the right answer isn't AI: it's a simple automation that does exactly the same thing every time. I tell you honestly which of the two you need.

  • Process mapping with the people who do the work
  • Pinpointing pain points and repetitive tasks
  • A clear recommendation: AI, automation, or neither
  • When the solution calls for development, we organize the next steps together, and I make sure your people actually use it.

Lunch & learns and talks

For your whole team or your event

Short, lively sessions on what's changing in the tools and on what companies like yours are actually doing with AI.

  • Lunch & learns for the whole team
  • Talks for associations, chambers of commerce and events
  • Delivered standing up, jargon-free, with examples from your industry
Recent mandates

What it looks like in practice.

Mining engineering firm

AI governance framework, acceptable use policy and rules for outside consultants, written with leadership. Then a presentation to all employees to explain the rules and answer their questions.

Accounting firm

One-on-one generative AI training for the partners and the administrative assistant, built on their real files. Follow-ups spread over several weeks so the new habits stick.

The difference that matters

AI and automation are not the same thing.

Many so-called "AI" projects are actually automations. That's not a flaw, quite the opposite. But you need to know what you're buying.

Automation

How it works
Rules written in advance. The same data gives the same result, every time.
Best for
Repetitive, well-defined tasks, like importing invoices into your accounting system.
What to watch for
Cases the rules didn't anticipate.

Artificial intelligence

How it works
A model produces the most likely answer. The result can vary and must be checked.
Best for
Tasks that require understanding or writing: summarizing, searching, rephrasing, analyzing.
What to watch for
Mistakes stated with confidence, and the data you hand it.

It starts with a conversation.

I come to you, at no cost, to understand your situation before proposing anything.