From REST APIs to AI Agents: Designing AI-Native Enterprise Systems in Java

You'll walk away able to: understand AI agents well enough to architect them into enterprise Java systems.

Register NowPresented byDhaval Shah

• ✓What an AI agent exactly is and how it differs from a REST endpoint
• ✓A reference architecture for building AI-native systems on the JVM
• ✓The non-negotiable architectural considerations for running agents in real enterprise systems

Duration - 45 mins So far we have been building enterprise Java based systems that assumed one thing - client already knows exactly what to ask for and that too in exactly what order. REST allowed us to have clean contracts, predictable calls, and a REST client did the orchestration of the workflow. But with AI, enterprise workflow doesn't fit that mold anymore.

This talk explains what an "AI agent" actually is - a reasoning engine, a set of tools, memory, and a plan-act-observe loop with due respect to architectural standards that we as Java community members hold ourself responsible for.

Dhaval Shah

Principal Cloud Native Architect

Dhaval designs and scales high-throughput, low-latency fintech platforms in highly regulated environments. With 21+ years of experience, he has built cloud-native systems on Azure and Kubernetes using Java 21, Spring Boot, reactive programming, Kafka, and Redis, with a strong focus on event-driven architecture. He combines hands-on engineering with technical leadership to help teams build platforms that are fast, resilient, and compliant.