About
Optim-AI advises leaders of SMEs and mid-sized companies on artificial intelligence: understanding what it is, measuring what it changes for their business, controlling the risks, and building the tools that are worth it. The brand is operated by Greendoy, a company registered in Nanterre.
Why this firm
In many companies, AI arrived from the bottom up: employees adopted consumer tools on their own, without instructions and without a framework. Meanwhile, management receives sales proposals that promise a transformation without ever mentioning data, real cost or an exit route.
What is missing is a position in between: someone who first looks at what is really happening, who says what is well founded and what is not, and who can also build the tool once the decision has been made. That is the position we occupy.
The team
Four careers, one way of working: look first, build next, hand over the keys at the end. From leading industrial programmes at Renault, where a wrong decision is counted in years, to the audit and governance of AI.
Founder and managing director
A data scientist who became a product builder, then a teacher of the field.
Yves-Michel spent several years as a data scientist, notably at Renault. That is where he saw at first hand the gap between a model that works on a test set and a model that holds up in production, in a real organisation, with its constraints and trade-offs.
He then developed products that integrate artificial intelligence, from design to deployment. Having been both the one who builds and the one who runs the product is what makes it possible to tell a business leader what a project will really cost, not just what it promises.
He has taught at an engineering school, Pôle Léonard de Vinci. Explaining these subjects to students demands a clarity that professional jargon too often lets people avoid. He applies the same standard to executive committees.
He has been advising clients on these questions for several years, and runs Greendoy, the company that publishes Optim-AI.
Industry and engineering expert
Forty years in the automotive industry, from designing a cockpit to heading vehicle engineering.
Odile spent her entire career at Renault, from R19 assembly to heading the group's engineering. She designed the cockpits of the Twingo I and the Clio II, led the design of body structures and the first five-star EuroNCAP ratings, then steered the convergence of the first common Renault-Nissan platform between Paris and Japan.
She was chief engineer of the first Logan project, leading 1,200 people, which gave rise to the first Dacia range. She then became head of vehicle engineering for the group, 2,600 people worldwide, on the Twingo II, Clio IV and Captur projects. She received the Woman of Industry award in 2014 and is listed in the Forbes Top 50 Blockchain 2022.
From 2015 to 2023, she was responsible for the group's customer satisfaction strategy and transformation, headed the U-Move innovation community and its fifty partners, then the group's blockchain projects as vice-president, including the XCEED compliance platform. She now serves as an independent board member.
What she brings to an engagement: she has seen thirty years of technologies announced as decisive, in an industry where a wrong decision is counted in millions and in years. She can tell what holds up in production from what holds up in a presentation.
Purchasing and supplier expert
Forty-one years at Renault, from structural analysis to heading purchasing for an alliance.
Didier spent forty-one years at Renault, from technical analysis of vehicle structures to heading purchasing. He led purchasing for the group's B segment, including the convergence of processes between Renault and Daimler, and the launch of the Clio 4, the Captur and the Twingo.
He then headed Russia purchasing for the Renault-Nissan-AVTOVAZ alliance: convergence of the three groups' purchasing processes, setting up local teams, launch of the Arkana, Xray and Vesta vehicles. He also represented purchasing on the board of Renault Sport.
This is exactly where control over a production tool is decided: a decision about tools translates into contracts, suppliers, dependencies and recurring costs. The question “what happens if this supplier changes its terms” is anything but theoretical for him.
He also works on decarbonisation strategies, the other side of Greendoy's business.
AI audit and governance
Bringing to light the AI that nobody has declared, and bringing it into compliance.
Within Optim-AI, Adrien leads the shadow AI audit. He identifies the tools adopted without management approval, assesses the data that passes through them and turns each risk into a countermeasure.
His second area is compliance: the EU AI Act, the ISO 42001 standard, secure use.
He teaches cognitive technology at EM Normandie.
What he brings to an engagement: knowing what your teams really use, before it becomes an incident.
Principles
We develop software, but only custom-made and for you. No reseller agreements for market tools, no supplier commission: our income comes from you, which ensures that our recommendation serves you, and only you.
The code, data, documentation and supplier accounts are in your name from the first day of the engagement.
A successful engagement ends when your teams no longer need us. Dependency on the provider is a flaw, not a business model.
When a project is not justified, we say so and we put it in writing. An audit that concludes “do not go ahead yet” is a successful audit.
Next step
A short, no-obligation audit to find out where you stand and what is worth starting first.
