ABOUT

Systems that keep running when I am gone.

I’m Théau Lepouttre. I help small companies put AI into the way they already work, built to fit the team and the process it lands in, so it gets adopted instead of becoming another tool two people open twice and forget.

Master’s degrees in applied mathematics from UCLouvain and in computer science from Polytechnique Montréal, where I researched optimization and AI. Since then I have worked on AI projects across a range of businesses. My most rewarding work is with small companies: the value is tangible, the impact is immediate, and the relationships are real.

What my experience has taught me is that the projects that survive are not the ones with the best demo. They are the ones built around how the company actually works, where the people doing the work recognise themselves in the result.

METHOD01 — 03

Three steps, always in the same order

01

Map.

I sit with the people doing the work and follow the process as it actually runs, not as the org chart says it runs. Asking a company what it wants changes very little. What changes things is understanding what it does every day, and where AI fits into that.

The tool was built without your reality in it. What works in another company does not work in yours.

02

Align and build.

One direction, set around the team and the people in it, connected to the tools your company already runs on, so AI fits inside the way you work instead of sitting beside it.

Three people use three different tools in three different ways, and the rest of the company does not know they exist, or does not know how to use them.

03

Hand over.

What we built is your team’s. They can use it because it is aligned with how they already work and because they stay in the loop. Adoption is what I design for: a system that is not adopted is not a useful system.

The demo works. Nothing changes. The tool is opened twice and forgotten.

What you can hire me forENGAGEMENTS

AI opportunity audit.

I spend the time with you and with the people doing the work, inside your processes, and tell you where AI is worth it, where it is not, and roughly what it would take.

Build and integration.

AI systems, tools and agents, connected to the ecosystem your company already runs on. Your ERP and CRM included.

Team training.

Half-days where your team builds its own agents instead of watching a demo.

Fractional AI lead.

A few days a month, for companies that need direction and not a full-time hire.

Public funding, if that is a route you want

In Québec, AI projects and training in small businesses can be eligible for public funding. I have worked with both of the programmes below. If it is a route you want to look at, we go through it together on the call.

ESSORInvestissement Québec
MFOREmploi-Québec