Evaluating AI Agents - Why It Matters and How We Do It

Learn about the critical importance of evaluating AI agents in business applications through this 13-minute conference talk from MLOps.community. Discover why robust evaluation is essential for delivering high-quality agentic AI systems that are reliable, safe, effective, and aligned with user intent. Explore the unique challenges of evaluating non-deterministic AI agents compared to traditional software or machine learning models. Gain insights into the key components that require versioning and testing, understand the metrics that matter for different types of agents, and learn practical approaches for successfully evaluating AI agents in production environments. The presentation draws from real-world experience at Acre Security, where AI agents are deployed in physical access control systems, providing concrete examples of evaluation strategies and implementation challenges in critical infrastructure applications.