Agentic AI success – easy to pilot but hard to produce. Enterprises are quickly discovering that success hinges less on model novelty and more on disciplined practice. Join Pierre and Swami as they introduce a systematic approach to building reliable enterprise-grade agentic solutions. Based on real-life scenarios, they present the key activities that ensure success – from discovering your Agentic AI sweet spots, selecting agents and tools, designing agentic goals to systematically and reliably build and deploy. With a set of use cases, they show the unique aspects of agentic testing, observability, and governance that enable continuous improvement. Attendees will gain a clear view of how disciplined execution turns AI potential into measurable business success.

LEARNING OBJECTIVES

Understand the end-to-end lifecycle of enterprise Agentic AI solutions

Learn how disciplined execution and systematic design practices protect business value

Gain practical insights from real-world implementations