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Use Case
FDJ United – Kindred structures an AI adoption model for 7,000 employees
FDJ United – Kindred aimed to structure AI adoption at the group level and avoid fragmented scaling across its international entities. AI Partners designed a phased deployment model to train teams, align practices, and establish a sustainable, measurable, and replicable framework.
“The most valuable aspect of this training was the balance between theory and practice. The interactive exercises, real-life scenarios, and prompt engineering work helped me better understand how to use AI effectively in my day-to-day work.”
— General manager, FDJ
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Results
Your partner for a smooth and concrete adoption of agentic AI.
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The program established the foundations of a measurable and scalable AI adoption model, designed to support the group’s upskilling over three years.
+7000
Employees targeted over 3 years
+140
Employees trained across 4 sites in the pilot phase
9.2
Satisfaction score
The challenges
FDJ United – Kindred needed to build a shared AI adoption model to avoid siloed practices, strengthen prompt culture, and enable consistent governance across the group.
Fragmented adoption
The group’s 7,000 employees made limited use of KAIT GPT due to the lack of a shared prompt culture across international sites.
Risk of dispersion
Without a structured and measurable model, each site would develop its own AI practices in isolation, making group-level governance impossible.
The solution
AI Partners structured a two-phase approach to test, measure, and scale AI adoption across the group within a unified framework.
01
Phase 1 – Pilot (2025)
140 employees trained across 4 sites through a Navigator program focused on prompt engineering, security, and business use cases on KAIT GPT.
02
Phase 2 – Scale (2026–2027)
Rollout to 7,000 employees over 3 years through a 3-tier framework: Navigators, Innovators, Architects.
03
Governance
Continuous impact tracking using metrics such as Prompt Literacy, DAU, and CSAT to adjust and secure the rollout.
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.
