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Explore the practical realities of implementing Agentic AI systems in production environments through this expert roundtable discussion featuring industry leaders from Intuit, FICO, and Akka. Learn to distinguish between the hype surrounding autonomous AI agents and the concrete requirements for building reliable, trustworthy systems that can operate in real-world enterprise environments. Discover what truly defines Agentic AI through the lens of autonomous loops and new computing paradigms, while understanding the common pitfalls that cause projects to fail, including complexity management, trust issues, and hidden operational costs. Compare Agentic AI approaches with traditional automation and predictive models to identify optimal use cases involving dynamic environments, undefined rules, and persona-based thinking scenarios. Master the fundamental mindset shift required for architects transitioning from traditional software architecture to learning architecture, focusing on systems that continuously adapt and improve. Examine the six pillars of guardrails and trust-building mechanisms essential for deploying autonomous agents safely in production. Understand the critical importance of observability and evaluation frameworks, including continuous data pipelines that monitor agent behavior and performance. Gain practical insights into integrating AI agents with existing enterprise systems and legacy APIs while maintaining system reliability and security. Access actionable advice for beginners, including recommended frameworks and platforms for starting Agentic AI development projects with a focus on production readiness rather than proof-of-concept demonstrations.
