9 Lessons Learned from Deploying GenAI at Scale

Learn from real-world experience deploying generative AI at enterprise scale through this 45-minute conference talk from GOTO Copenhagen 2025. Discover nine critical lessons learned from Liberty Mutual's two-year journey implementing GenAI across 3,000 engineers, including the creation of LibertyGPT, worldwide GitHub Copilot rollout, and custom SDLC process development. Explore three key opportunities currently being tackled: AI Engineering for integrating GenAI into developer pipelines, AI Architecture for infusing AI features into applications, and Agentic AI with Digital Software Engineers. Gain practical insights into technologies, architectures, practices, and processes without artificial hype, delivered as a "from the trenches" perspective. Cover essential topics including the GenAI adoption roller coaster, continuous learning requirements, the difference between shipping and adoption, model inequality, scaling challenges, technical debt considerations, implementation complexity, cost management, RAG implementation difficulties, and latency issues. Benefit from hard-won lessons shared by Technical Learning Consultant Garth Gilmour and Senior Director of Technology Stuart Greenlees, complete with actionable takeaways for organizations walking similar paths in their GenAI transformation journey.