NEW - AI Agent Adoption Guidance from Microsoft's Cloud Adoption Framework Over the past year working with customers, we’ve seen that controlling and standardizing agent development across an organization is top of mind for most leaders. To address this, we created our new AI Agent Adoption Guidance, and it is now publicly available in Microsoft’s Cloud Adoption Framework: Read the guidance here: https://lnkd.in/ehFWdaR5 Why should I use it? This guidance provides an end-to-end framework for AI agent adoption. It helps leaders move from planning to managing all their agents across an organization. It provides best practices at each stage and shows you how Microsoft Foundry and Microsoft Copilot Studio enable those recommendations. The guidance presents a practical sequence through Foundry and Copilot Studio that reflects how teams will naturally use them, mapping best practices to tool usage. It also covers data architecture with Microsoft Fabric, Foundry IQ, and Fabric IQ, as well as SaaS agents in Microsoft 365, GitHub Copilot, Microsoft Fabric, Azure Copilot, Dynamics 365, and Security Copilot agents This approach helps organizations understand how Microsoft supports their journey while enabling them to standardize and govern agent development with confidence. Who is the guidance for? If you are responsible for AI agents across your business, organization, or multiple teams, whether large or small, this guidance is for you. It is designed to help you govern, secure, and measure the success of all your AI agents. What is the process to adopt AI agents? AI agent adoption involves four key steps: 1. Plan for agents: How organizations should identify high-value use cases for AI agents, select the right technology, prepare teams, and ensure data readiness for scaling and governance. 2. Govern and secure agents: How to address governance, security, and observability across an organization, along with baseline policies and tools that support consistent implementation across the organization. 3. Build agents: When to build single-agent or multi-agent systems, plus how Foundry and Copilot Studio fit into the build process to help establish organizational standards. 4. Manage agents: Best practices for integrating agents into operations and managing them over time, including cost optimization, administration, and measuring adoption success. Questions? If you want the guidance to cover other topics, reach out to me on LinkedIn (DM) or on Reddit (MicrosoftCAF) Thank you to my Microsoft colleagues for their insights: Jason Bouska, Timo Salomäki, Daniel Söderholm, Wandenkolk Tinoco Neto, Sree Lakshmi Adigopula, Piyush Jain, Bilal Amjad, Jorge Garcia Ximenez, Ben Brauer, Pablo Carceller Gonzalez, Philip Fumey, John Lunn, Brian Swiger Thank you to the following Microsoft Most Valuable Professionals (MVPs): Artem Chernevskiy, Edgar McOchieng', Vesa Nopanen [MVP], Sakshi Kokardekar Luke Nyswonger, Martin Ekuan, Hans Yang, Annie Pearl
I’d like to discuss the saas agent decision tree element with you and will reach out in Teams. Just because a linear saas app agent meets the needs doesn’t mean it’s necessarily the optimal design. There are cross-app capabilities that may be missed and, when developing an enterprise wide agent strategy, we will need to consider.
Jason Earnshaw 🚇 Ollie H-Zablocki Azim Zicar 🇸🇩 Chris Huntingford 🚀
Where is the powerplatform and dataverse in this???
Very useful guidance. Knowing when not to use agents is equally important part of the decision-making process.
That is quite useful. Your tools could be more helpful if you could get AI Foundry/Copilot Studio features from Preview into General Availability faster. Even a roadmap for these features with some dates would be good
This comprehensive framework for AI agent adoption is particularly compelling, especially the emphasis on standardizing development and governance across organizations. How do you foresee this guidance evolving to address emerging challenges in multi-cloud or hybrid environments?
Excellent post. The biggest challenge in the agent space now is governance, standardisation and measurable ROI and this framework helps address exactly that. Would love to see future iterations include deeper architecture patterns and maturity modelling, but this is a fantastic foundation and glad its now a part of CAF.
Love this! So clear, and will help articulate the pathway to other IT and business teams.
Great guidance! This is one of the most comprehensive guides for agent implementation I have seen. Can't wait to dig in to this with fellow architects
Great to see Microsoft putting structure around AI agent adoption—otherwise, it’s all too easy to end up with a swarm of rogue bots and no idea who’s running the show. Standardization, governance, and a clear build process are the unsung heroes of long-term success in this space. For companies looking for a platform that goes beyond big tech ecosystems, https://www.chat-data.com/ brings its own playbook. With centralized management, granular access control, workflow orchestration, and robust security features (think PII anonymization and HIPAA compliance), it helps you not only deploy agents fast but also keep them on a tight, auditable leash. Governance without the guesswork!