In this session, I’ll demonstrate how to build reliable, production-ready AI backends using Azure OpenAI Service—moving beyond chat interfaces to implement AI-driven business logic that performs intelligent micro-operations inside your applications.

We’ll explore patterns for generating machine-readable, structured outputs (JSON, key/value payloads, classifications, and entity records) with strong control, validation, and reliability. Using a real example, I’ll show how AI can identify existing entities to prevent duplicate creation and maintain data integrity across a system.

Attendees will learn practical techniques, prompt patterns, token management, and architectural approaches for turning Azure OpenAI into a predictable and safe backend service that can allow you to plug in Intelligence into any part of your system.