Beyond the Prompt - Architecting Reliable Enterprise LLM Agents

Learn to architect reliable enterprise LLM agents through this conference talk that addresses the complex challenges of building scalable, safe, and seamless AI agents for business applications. Discover the critical decision-making processes required when enterprise use cases demand strict accuracy and safety requirements that go far beyond basic prompt engineering. Explore the strategic selection and orchestration of frameworks, tools, models, and evaluation criteria necessary for enterprise-grade implementations. Focus on a practical customer support use case to understand real-world application challenges and solutions. Examine preferred frameworks and methodologies for enterprise agent development, including techniques for defining robust tools that maintain reliability at scale. Understand how to implement safety measures through human-in-the-loop systems that provide necessary oversight for business-critical applications. Review comprehensive evaluation criteria that ensure agent performance meets enterprise standards for accuracy, reliability, and safety. Discover methods for improving model capabilities through synthetic training data generation, enabling better performance on domain-specific tasks. Gain insights into the complex orchestration required to manage multiple components while maintaining system reliability and meeting strict enterprise requirements for AI agent deployment.