GenAI & BeyondConference50min
Scaling AI Adoption: From 30 Engineers to Tech-Wide Transformation - Lessons from Doctolib's Journey
This talk shares Doctolib’s practical experience scaling AI coding assistants from a 30-person pilot to 600+ engineers. It covers challenges faced, solutions like the AI Champions program and AI Summer Camp, key metrics, cost management, and actionable strategies for successful, organization-wide AI tool adoption without hype or theory.
Thomas BentkowskiDoctolib
Julien TanayDoctolib
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Wednesday, October 8, 16:40-17:30
Room 10
Join us for an honest, practical talk about implementing AI tools at scale in a 600+ engineer organization. As a Platform Product Manager and Staff SRE at Doctolib, we'll share our 6-month journey from a 30-engineer pilot to tech-wide adoption of AI coding assistants.
We'll reveal the real challenges we faced - from quality concerns and engineer skepticism to cost management and environmental considerations. More importantly, we'll show you what actually worked: our AI Champions program, the AI Summer Camp that changed mindsets, and the metrics that matter.
You'll learn:
- How we selected and deployed multiple AI tools to cater to different preferences
- The 5 key friction points that almost derailed our initiative and how we addressed each one
- Our practical AI Starter Kit with concrete use cases every developer should leverage
- The innovative LLMs.md approach for repository-specific context
- Real KPIs and adoption trends - including the plateau we hit and how we're overcoming it
We'll be transparent about costs, share our monitoring strategies, and discuss the evolving role of platform teams in driving AI adoption. Whether you're starting your AI journey or looking to accelerate existing initiatives, you'll leave with actionable insights and proven strategies.
No hype, no hand-waving - just real experiences from the trenches of organizational change.
We'll reveal the real challenges we faced - from quality concerns and engineer skepticism to cost management and environmental considerations. More importantly, we'll show you what actually worked: our AI Champions program, the AI Summer Camp that changed mindsets, and the metrics that matter.
You'll learn:
- How we selected and deployed multiple AI tools to cater to different preferences
- The 5 key friction points that almost derailed our initiative and how we addressed each one
- Our practical AI Starter Kit with concrete use cases every developer should leverage
- The innovative LLMs.md approach for repository-specific context
- Real KPIs and adoption trends - including the plateau we hit and how we're overcoming it
We'll be transparent about costs, share our monitoring strategies, and discuss the evolving role of platform teams in driving AI adoption. Whether you're starting your AI journey or looking to accelerate existing initiatives, you'll leave with actionable insights and proven strategies.
No hype, no hand-waving - just real experiences from the trenches of organizational change.
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