Build Production-Ready AI Agents with the Microsoft Stack, cover
New book · Packt

Build Production-Ready AI Agents with the Microsoft Stack

Ground, secure, and evaluate agents with Copilot Studio, Microsoft Foundry, and Microsoft Agent Framework.

Published by Packt on 29 October 2026. Available from Amazon, Packt and other major book retailers.

Launch in

–days
–hours
–minutes
–seconds

Come back on 29 October for the Amazon link.
When the book goes on sale, this page will link straight to it on Amazon.

About the book

From a working prototype to a production agent

Moving an AI agent from a working prototype to a production system requires more than a good prompt. You need the right architecture, reliable grounding, controlled tool use, evaluation, security, observability, and clear points for human intervention. This book shows how those pieces fit together through Claims 365, a fictional insurer’s claims process.

You build a grounded business agent with Copilot Studio, secure and evaluate it, and publish it for real use. You then create a multimodal assessment agent in Microsoft Foundry that processes images and documents and returns structured outputs. From there, you run, test, and resume a complete code-first multi-agent workflow built with Microsoft Agent Framework, in Python or C#, that pauses for durable human approval with checkpoints, shared state, Dataverse, and an auditable investigation trail.

The book closes by comparing the three Microsoft agent tiers and the trade-offs between flexibility, control, maintenance, and operational responsibility.

Book details
Author Hugo Herrera
Publisher Packt Publishing
Published 29 October 2026
Edition First edition
Pages 170
ISBN 978-1-80882-217-9
Code Python and C#
What you will learn
  • Choose the right Microsoft agent tier for each workload
  • Ground agent responses in Dataverse and business data
  • Evaluate grounded responses and identify failure cases
  • Secure and publish agents with sign-in and entitlement checks
  • Build multimodal agents with structured JSON outputs
  • Design code-first multi-agent workflows with shared state
  • Add durable human approval with checkpoints and audit trails