Build LLM apps with AI-ready integration architecture

Overview

LLMs are powerful—but building usable, adaptable apps with them is still a challenge. This session shows how teams are applying modern integration architecture to bring LLM-powered apps to production faster, with less risk and more flexibility.

What you’ll learn 

• How to turn LLM prototypes into production-ready apps without rewriting your stack
• What makes an integration platform “AI-ready”—and how it helps you move faster
• How to design for change with composable architecture and fast-evolving models
• How to manage vector storage, orchestration, and governance across evolving LLM workloads

Session chapters

1. Why LLM apps stall
2. Common blockers: Integration, data, and risk
3. Modern architecture for AI-infused apps
4. How composable integration accelerates development
5. What makes Tray an AI-ready iPaaS
6. Real-world use cases and design patterns
7. Next steps: Where to go from here