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.
— Romain Dardour, Head of Product, L'Oréal Beauty Tech
Results

Your partner for a smooth and concrete adoption of agentic AI.

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.

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.

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