L'Oréal: 150 employees ship 12 AI prototypes on real products in 3 days
After a 2025 hackathon showed L'Oréal teams what AI agents could do, the challenge was making sure that energy didn't stay a one-off. AI Partners designed and ran a three-day, gamified hackathon for 150 employees, opening with a keynote from Anthropic, where every team shipped a working prototype on a real business use case.
“The event was extremely well-organized and structured, with clear information shared very efficiently. The speakers were excellent, and the use cases presented were highly engaging and relevant.”
— Salim Bouanani, Product Owner - Global Media Program, L'Oréal
Results
Your partner for a smooth and concrete adoption of agentic AI.
Over three days, L'Oréal employees moved from concept to working prototypes on real business problems, immediately opening the conversation on production roadmaps.
3 days
from concept to working prototype
12
prototypes shipped on real products
150
employees engaged
The challenges
L'Oréal's teams had discovered the potential of AI agents, but that knowledge stayed disconnected from day-to-day projects and risked fading without a path to production.
In 2025, L'Oréal teams discovered what AI agents could do, but that knowledge stayed disconnected from their actual projects.
More Than a One-Off Exercise
Without a clear link to the business, the energy from the 2025 hackathon risked staying a one-off instead of building lasting momentum.
The solution
AI Partners designed a three-day, gamified hackathon anchored in real business use cases, giving every team the structure to ship a working prototype, not just a slide.
01
Three Days, 150 Builders
A three-day hackathon (June 8 to 10, 2026) for 150 employees, organized into gamified teams and opened with a keynote from Anthropic.
02
Built on Real Business Problems
Each team built a working prototype directly on a live business use case, including CAT Center, Field IQ and PM Experience, rather than a hypothetical scenario.
03
From Prototype to Roadmap
Production roadmaps were discussed the day after the hackathon, turning prototypes into candidates for real deployment.
We build GenAI systems that solve concrete workflow problems. From copilots to agentic automation, each use case is designed to be safe, measurable, and integrated into your existing tools.