AI agents are transitioning from standalone productivity tools to integral components of enterprise systems. The upcoming transformation involves developing large ecosystems of collaborating agents embedded in business processes. However, implementing multi-agent architectures presents challenges such as orchestration, state management, trust, governance, and observability.
Eric Broda, a seasoned software industry expert and co-author of the O’Reilly book “Agentic Mesh: The GenAI-Powered Autonomous Agent Ecosystem,” discusses these challenges in an episode with Sean Falconer. They explore architectural issues in deploying agents as core infrastructure, applying distributed computing principles to multi-agent systems, the importance of trust and explainability, and envision enterprises where agents are active business process participants.
Sean Falconer has a diverse background as an academic, startup founder, and former Googler, with publications spanning AI to quantum computing. He currently serves as an AI Entrepreneur in Residence at Confluent, focusing on AI strategy and thought leadership. Connect with Sean on LinkedIn.
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