At Microsoft, we are enabling our employees, teams, and organizations to build AI agents to help them complete important tasks—from individual employees in the personal productivity tenant all the way to enterprise-wide agents that are available to everyone.
In short, we’re all-in on agentic AI, and we want to help you get there, too.
“We’ve made a lot of progress deploying and driving adoption of Microsoft 365 Copilot since it was released, and we’re now doing the same when it comes to enabling our employees and our teams to build agents that make us more productive,” says Brian Fielder, vice president of Microsoft Digital, the company’s IT organization. “We’re Customer Zero at Microsoft, which means we’re the first to deploy and use the technology and services that we sell to our customers. Those learnings give us a unique perspective and story to share with you about the journey we’ve been on with AI and agents.”
We have two collections of agentic AI content that we think will be useful to you.
“When it comes to agents, we’re still at the start. We expect to learn much more as we continue, lessons we’ll share here—stay connected and we’ll continue to share our story with you.”
Brian Fielder, vice president, Microsoft Digital
The first set of stories documents our vision and strategy for agents. They walk you through our experience deploying agentic AI, our work to create tools that enable our employees to dive in, and, through smart governance, empower everyone at Microsoft to be confident and creative with how they use agents while keeping the company safe and secure.
Our second set of stories highlights some of the most interesting and effective agents that our employees, teams, and organizations have built. These stories will not only give you examples of agents that we’ve built, they show how you can go about building similar agents for your organization based on the collective experience of our employees and teams at Microsoft.
“We hope you find reviewing the journey we’ve been on practical and useful,” Fielder says. “When it comes to agents, we’re still at the start. We expect to learn much more as we continue, lessons we’ll share here—stay connected and we’ll continue to share our story with you.”
Deploying agentic AI at Microsoft
Riding the wave of agents washing over Microsoft with good governance
Agentic extensibility is expanding the frontier of enterprise AI. By creating agents that surface knowledge, take actions, and even reinvent workflows, people can personalize AI’s power like never before. But how do you move into the agentic future without putting your organization and employees at risk? How do you encourage citizen developers to create agents… Read More
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We have moved through five stages of AI maturity on our journey to become a “frontier” IT team here at Microsoft—learn how you can do the same at your company. |
Enterprise AI maturity in five steps: Our guide for IT leaders
Charting a course through today’s digital landscape means navigating the transformative potential of AI—a technology redefining how organizations innovate and adapt. For leaders seeking to turn the promise of AI into action, the journey begins…
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At Microsoft, we’re creating API-based agents that extend the reach of Microsoft 365 Copilot to include more diverse apps and data sources. |
Unleashing API-powered agents at Microsoft: Our internal learnings and a step-by-step guide
Agentic AI is the frontier of the AI landscape. These tools show enormous promise, but harnessing their power isn’t always as straightforward as prompting a model or accessing data from Microsoft 365 apps. To reach…
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Microsoft Copilot Studio provides a low-code environment for citizen developers to create Microsoft 365 Copilot extensions. |
Unlocking enterprise AI extensibility at Microsoft with Microsoft Copilot Studio
Microsoft 365 Copilot extensibility is a revolutionary new framework for advancing enterprise AI. By creating their own agents, individuals and teams can customize Copilot’s behavior with additional instructions, grounding, and actions, all while providing a…
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We’re extending Microsoft 365 Copilot through agents built using Microsoft Copilot Studio to add even more value to enterprise AI. |
Powering AI value with Microsoft 365 Copilot extensibility at Microsoft
Microsoft 365 Copilot extensibility is the next frontier of enterprise AI at Microsoft. By managing it effectively, we’re giving our employees the power to revolutionize how they access data and accomplish tasks. But how are…
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Retrieval agents are simple Microsoft 365 Copilot extensions that our employees are creating using Copilot Studio agent builder. |
How our employees are extending enterprise AI with custom retrieval agents
Employees who are using Microsoft 365 Copilot to transform the way they work now have a new tool to help them even more—the agent. Engage with our experts! Customers or Microsoft account team representatives from…
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Reimagining how we collaborate with Microsoft Teams and AI agents
In 2017, the introduction of Microsoft Teams revolutionized how our employees connected and collaborated. Fast forward to 2025, and the employee experience landscape has evolved dramatically, both here at Microsoft and in the world at…
Agents we’ve deployed internally at Microsoft
Accelerating employee services at Microsoft with the Employee Self-Service Agent
Microsoft is a huge and complex organization, with more than 200,000 full-time employees working in hundreds of locations around the world. Engage with our experts! Customers or Microsoft account team representatives from Fortune 500 companies are welcome to request a virtual engagement on this topic with experts from our Microsoft Digital team. Previously, when our… Read More
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Our employees are using the power of AI to accomplish their facilities-related tasks much faster with the Employee Self-Service Agent, built on Copilot Studio. |
Reimagining campus support at Microsoft with the Employee Self-Service Agent
Julie is a typical Microsoft employee, one who commutes to her office, parks in a garage, orders meals from the cafeteria, finds her way to and around different buildings, hosts visitors, and occasionally must deal…
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Discover how we’re enabling the Interpreter agent in Microsoft Teams to address language barriers in multilingual meetings using AI-driven, real-time interpretation capabilities. |
Deploying our new ‘game changing’ Interpreter agent in our meetings at Microsoft
The new Interpreter agent in Microsoft Teams meetings is transforming the lives of our employees who must speak a second language at work. Engage with our experts! Customers or Microsoft account team representatives from Fortune…
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Microsoft SharePoint agents are uniting the power of AI assistance with the content management and collaboration capabilities of SharePoint. |
Unlocking knowledge through intelligence: Lessons learned using SharePoint agents at Microsoft
For countless organizations around the world, Microsoft SharePoint is the go-to solution for managing authoritative business content and collaborating on projects. Engage with our experts! Customers or Microsoft account team representatives from Fortune 500 companies…
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Our new employee-built AI agent is making taking care of our network easier here at Microsoft. |
Keeping our network infrastructure healthy at Microsoft with an employee-built AI agent
Like many global companies, our network engineering environment here at Microsoft is gigantic. It spans 88 countries, more than 700 buildings, 64,000 devices, 7,500 Microsoft Azure Virtual Networks, and nearly 150 lab sites. It’s a…
Key takeaways
We hope that you find our agentic AI stories useful. We wanted to share a mixture of our strategy and vision around enabling our employees to deploy agents, and to share stories that feature some of the most promising agents that our employees and teams have built and deployed.
We also understand that it can feel challenging to know where to start—it was for us. Here are some things we learned along the way that should help you:
- Governing agents is complex, and dependent on the overall AI maturity of your organization. Start slowly to build that maturity before unleashing too many new agents in your environment.
- A strong policy framework is the foundation. Lean on existing app governance policies, then layer agent-specific structures on top.
- Invest in data infrastructure and AI platforms. Building robust data infrastructure ensures your organization is prepared to leverage AI, and supports scalable, innovative, and secure AI-driven solutions.
- Develop a building environment strategy. Decide what scenarios match up with specific environments and make the right environments available to the relevant employees.
- Global regulations around categories like privacy, security, and responsibility provide a good baseline for establishing governance policies. Set relevant teams to work thinking through these regulations and incorporate their insights into your agent governance.
- Foster a culture of creativity and teamwork. Champion an AI-forward culture where innovation and collaboration drive the adoption of agentic AI.
- Develop AI expertise through training and development. As agentic AI transforms workflows and business outcomes across every industry, upskilling will empower your teams to navigate the rapid advances of AI, drive innovation, and ensure your organization stays competitive.
- Align AI initiatives with strategy. Ensuring AI initiatives align with business goals maximizes their impact and positions your organization to succeed in the rapidly evolving world of agentic AI.
- Implement ethical AI practices. You can use Microsoft’s Responsible AI principles as a guide. Adopting ethical AI practices builds trust, ensures responsible innovation, and prepares your organization to navigate the evolving landscape as AI becomes central to business operations and decision-making.
Try it out
