L'Oréal upskills 150 tech experts on agentic AI using Claude tools with AI Partners in 3 days
L'Oréal set out to build hands-on expertise in agentic AI across its O+O tech and product teams, so they could design and deploy Claude-powered agents at scale across product and commerce applications. AI Partners ran an intensive three-day onsite bootcamp built entirely around Claude : Product managers worked in Claude Cowork, developers worked in Claude Code and with Claude models via API, and every squad shipped a working prototype tied to a real L'Oréal use case.
This led to a rare level of maturity in the proper use of these tools. I can only recommend this experience to everyone.
— Romain Dardour, Head of Product, L'Oréal Beauty Tech
The bootcamp built a shared, hands-on foundation in agentic AI, shipped concrete prototypes with Claude, and aligned tech and product teams around real product-commerce scenarios.
150
Participants trained in 3 days
+12
Pilot prototypes activated
9.5
Satisfaction score
The challenges
L'Oréal needed to build hands-on Claude expertise across its O+O tech and product teams to industrialise AI applications on high-impact product and commerce use cases.
O+O tech and product teams lacked hands-on expertise in designing and deploying scalable AI agents across product and commerce applications.
Product risk
Without internal agentic architecture capabilities, L'Oréal could not industrialise its AI-powered product and commerce use cases at scale.
The solution
AI Partners designed an intensive, in-person Claude bootcamp to help teams understand, build, and test AI agents on use cases directly tied to L'Oréal's product and commerce priorities.
01
Claude bootcamp
150 participants split into 12 squads for a 3-day onsite bootcamp to build capabilities in designing and deploying AI agents with Claude.
02
Live builds
Each squad built a working prototype aligned to a real L'Oréal product-commerce scenario, with expert mentoring throughout. PMs worked in Claude Cowork, developers in Claude Code and with Claude models via API.
03
From learning to action
The program activated 12 pilot prototypes across priority business units and built a unified outlook on designing and deploying AI agents across tech and product teams.
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