
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
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