Agentic AI at Scale: Lessons from Enterprise-Level Implementations

Abstract

While AI agents have moved past the initial hype cycle, achieving efficient, production-ready implementation can remain a significant hurdle for organizations. Recent industry data, including studies from MIT Sloan, confirms that, indicating that a substantial majority of enterprise AI initiatives fail to deliver positive ROI.

In this session, we dive into the practical realities of deploying agentic systems within the context of largest enterprises. We will move beyond the theory to discuss real-world challenges and their proven remedies, among others architectural governance (defining the boundaries and responsibilities of autonomous agents) and security & compliance (implementing safeguards and data privacy in agentic workflows).

From a technology perspective, the session will focus on Microsoft Foundry, the Microsoft Agent Framework, LangChain, and Azure platform services.

This talk is tailored for solution architects, developers, product managers, and project managers seeking to deepen their understanding of the critical success factors in enterprise AI initiatives.

Bio

Agnieszka Niezgoda, PhD, Data & AI Tech Lead and Senior Cloud Architect at Microsoft, where she serves as a strategic advisor for global enterprise customers. With 15 years of international experience, Agnieszka bridges the gap between software development and deep AI/ML expertise. She has architected over 200 AI-driven solutions. She is also a lecturer in Advanced AI and a frequent speaker at major conferences.