The Architecture Behind Mission-Critical Agents
What does it take to build AI agents that are reliable enough for mission-critical enterprise applications? As organizations move beyond experimental AI agents toward production environments, the architecture behind these systems becomes just as important as the intelligence of the models powering them. In this session, "The Architecture Behind Mission-Critical Agents," from COLLIDE Data + AI Conference 2026, Christine Manegan, Deployed Engineer @ LangChain, explores the architectural considerations behind building AI agents capable of operating in demanding enterprise environments. Moving agentic AI into production introduces challenges that extend beyond prompt engineering and model selection. Enterprise systems must coordinate complex workflows, manage application state, integrate external tools and data sources, and maintain reliability when AI agents encounter unexpected conditions. For AI engineers, platform architects, and technology leaders, building mission-critical agents means considering how orchestration, observability, evaluation, and human oversight fit together within a cohesive system. These architectural decisions are essential when designing AI applications that need to operate consistently, recover from failures, and support real business processes. This session offers an opportunity to examine the engineering foundations of production-grade agentic AI and the considerations involved in designing systems for enterprise reliability. 🎯 Key Topics to Explore: Mission-Critical Agent Architecture: The architectural principles and system design considerations behind reliable enterprise AI agents. Agent Orchestration and Workflow Management: How coordinating multi-step workflows, tool interactions, and application state can support complex AI applications. Reliability and Fault Tolerance: Why error handling, recovery mechanisms, and predictable execution matter when deploying AI agents in production. Observability and Agent Evaluation: The importance of monitoring agent behavior, evaluating performance, and identifying operational issues. Scaling Agentic AI: Key considerations for moving AI agents from prototypes into secure, maintainable, and production-ready enterprise systems. 🎤 Featured Speaker Christine Manegan Deployed Engineer | LangChain Session Brought to You By: LangChain About COLLIDE Data + AI Conference 2026 Organized by Data Science Connect, COLLIDE Data + AI Conference 2026 took place on October 1, 2026, at the Sandy Springs Performing Arts Center in Atlanta, Georgia. The conference brought together enterprise decision-makers, data and AI executives, technology practitioners, and leading AI solution providers to explore the evolving data and AI landscape, scale AI responsibly, and exchange practical insights with industry peers. Learn more about COLLIDE: https://datasciconnect.com/events/collide/ ▶️ Watch More from COLLIDE 2026 Watch the full session to explore the architectural considerations behind building reliable, mission-critical AI agents for enterprise environments. Subscribe to the Data Science Connect YouTube channel for more technical presentations, executive keynotes, and industry discussions from COLLIDE Data + AI Conference 2026 covering agentic AI, enterprise AI architecture, AI engineering, and production AI systems.