AI-enabled partner solutions require more than a prompt and an API call. They need secure identity, reliable integration, data boundaries, observability, cost control, and a clear operating model. This technical deep dive shows how to design an AI-ready Azure architecture for Business Central partner solutions.

We will explore a practical architecture blueprint covering identity and access, API boundaries, data ingestion, event-driven integration, retrieval-augmented generation patterns, audit logging, monitoring, deployment, and operational safeguards. The session also discusses common failure modes: exposing too much data, mixing customer tenants, missing approval flows, weak prompt boundaries, and unmonitored AI costs.

Attendees should already understand cloud architecture basics and want a deeper view of how AI capabilities can be integrated responsibly into Business Central-adjacent solutions. The goal is to give developers and architects a reusable mental model for building secure, scalable, and maintainable AI-enabled solutions in the Microsoft ecosystem.