Business Central provides built-in AI-driven capabilities for automating business processes. However, real-world business scenarios often require deeper backend extensions - integrating with external APIs, adding advanced AI capabilities, and customizing data flows beyond what is natively available.

In this session, we’ll explore how to extend Business Central AI Agents backend using Azure AI Foundry. With Azure AI Foundry, you get a robust tool not only for generating intelligent responses but also for monitoring, evaluating, and optimizing your AI solution. It enables you to ensure the AI model performs optimally, aligns with business needs, and manages costs efficiently.

Key takeaways include:
✅ When and why to extend beyond built-in Business Central AI capabilities.
✅ How to build your own Prompt Flow in Azure AI Foundry and deploy it to an endpoint for API integration in Business Central.
✅ The importance of AI monitoring, evaluation, and cost management.
✅ Practical architectural patterns for backend extensions.