From Days to Minutes: What We Learned Building Agentic AI That Transforms Work
About this session
Most AI initiatives start with technology. Ours started with a simple question: Why are talented people spending so much time navigating process instead of solving problems? Across organizations, experts are buried in approvals, handoffs, data gathering, status updates, and repetitive operational tasks. We set out to remove that friction by building AI agents that could gather context, orchestrate workflows, recommend actions, and accelerate decisions while keeping humans in control. The journey wasn't smooth. Some solutions delivered immediate value. Others failed because we focused on technology before trust, automation before adoption, and intelligence before user experience. Along the way, we learned that successful AI transformation is far less about models and far more about people, governance, and change management. In this keynote, I'll share what we built, the outcomes we achieved, the mistakes we made, and the lessons learned moving from AI experimentation to real-world impact. Attendees will leave with practical insights for identifying high-value AI opportunities, avoiding common pitfalls, and scaling AI responsibly across their organizations. Because the true promise of Agentic AI isn't doing work faster, it's enabling people to spend more time on the work that matters most.
Speaker
Key takeaways
- Transform workflows from days to minutes with Agentic AI
- Lessons learned from moving beyond AI pilots
- Scale AI through trust, governance, and people-first design