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Use Case
L'Oréal trains 130 tech experts in agentic AI on Google Cloud in 3 days
L’Oréal aimed to accelerate the maturity of its tech and product teams in agentic AI to design and deploy agents at scale on Google Cloud. AI Partners designed an intensive three-day bootcamp to align teams, bring out concrete prototypes, and strengthen internal autonomy on product and e-commerce use cases.
This led to a rare level of maturity in the practical use of these tools. I can only recommend this experience to everyone.
Head of Product, L'Oréal Beauty Tech
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Results
Your partner for seamless GenAI adoption
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The bootcamp established a shared foundation in agentic AI, activated concrete prototypes, and aligned tech and product teams around real-world scenarios.
130
Participants trained in 3 days
+12
Pilot prototypes activated
9.5
Satisfaction score
The challenges
L’Oréal needed to strengthen hands-on expertise in agentic AI across its tech and product teams to industrialise AI applications on high-impact use cases.
Limited maturity
Tech and product teams lacked practical expertise in designing and deploying AI agents at scale on Google Cloud.
Product risk
Without in-house capabilities in agentic architecture, L’Oréal could not industrialise product and commerce applications with AI.
Alignment
Teams needed a shared understanding of best practices in design, orchestration, and deployment.
Activation
The goal was to turn learning into actionable prototypes on real group use cases.
The solution
AI Partners designed an intensive, in-person GCP bootcamp to help teams understand, build, and test AI agents on use cases directly tied to L’Oréal’s product and commerce priorities.
01
GCP bootcamp
130 participants split into 12 squads to build capabilities in designing and deploying AI agents on Google Cloud.
02
Live builds
Each squad developed a prototype aligned with real product-commerce scenarios, with expert mentoring throughout the bootcamp.
03
From learning to action
The program activated 12 pilot prototypes across priority business units and created a shared vision between tech and product teams.
Portfolio
Our use cases
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.
From copilots to agentic automation, each use case is designed
to be safe, measurable, and integrated into your existing tools.
