What happens when generative AI isn't just a buzzword but becomes the backbone of how engineering teams actually work? Over the past year, I've led my company's AI strategy as AI Director, guiding my team through a radical transformation in the way we build software. Instead of chasing the hype, we combined off-the-shelf tools with custom-built AI systems and agentic workflows.
The result? We've multiplied productivity, cut delivery times, unlocked new creative workflows that were impossible before, and entirely new ways of collaborating. Many of our tools and practices were so effective that other teams across the company have now adopted them.

In this talk, I'll share real examples of how we combined commercial and in-house GenAI technologies to accelerate coding, testing, documentation, and debugging at scale.
I'll break down the process changes that made AI adoption successful-how we rewired our workflows, onboarded the team, and learned to "pair program" with AI effectively.

Expect practical lessons and battle-tested insights: what worked brilliantly, what failed (and why), and the cultural shifts needed to make GenAI a force multiplier instead of just another shiny tool. Whether you're a team lead, engineer, or product builder, you'll walk away with actionable ideas to supercharge your own team using GenAI without losing the human touch that drives great engineering.