Copilot Studio at Microsoft Build: Everything You Need to Know

Key insights

• Multi-agent orchestration is a new feature in Copilot Studio that allows several AI agents to work together, sharing and delegating tasks across different business functions. This enables end-to-end automation for processes like sales, communications, and IT management.
  
• Copilot tuning lets organizations use their own data and writing style to shape how Microsoft 365 Copilot responds. Users can also integrate custom AI models through Azure AI Foundry, giving more control over the assistant’s capabilities.
  
• Knowledge features have expanded, offering more options to manage information sources. These updates give users greater control over which data Copilot accesses and allow smarter, context-aware responses.
  
• The platform now includes advanced tools such as a Python-powered code interpreter, direct support for Visual Studio developers, and early RPA-style (Robotic Process Automation) agent actions for automating computer tasks.
  
• Agent Feed is a new feature that shows real-time activity from all your agents. It helps users monitor workflows and see how agents interact within Microsoft 365 environments.
  
• The shift to multi-agent systems, combined with open integration of custom models, makes Copilot Studio a flexible platform for enterprise automation—improving productivity, allowing deep customization, and supporting complex business needs at scale.
  

Copilot Studio at Microsoft Build 2025: Major Announcements Unveiled

At the recent Microsoft Build 2025 event, Copilot Studio took center stage with a series of groundbreaking updates. Microsoft introduced several enhancements designed to elevate AI-powered automation and agent collaboration for both enterprise users and developers. According to Lisa Crosbie [MVP], who summarized these announcements in her latest YouTube video, Copilot Studio is evolving rapidly, introducing tools and features that promise to reshape how organizations leverage AI in their everyday operations.

The updates revolve around four central themes: multi-agent orchestration, Copilot tuning for personalization, expanded knowledge management capabilities, and a suite of new developer tools. These improvements reflect Microsoft’s commitment to making AI more accessible, customizable, and powerful for a wide range of users, from low-code creators to professional developers.

Multi-Agent Orchestration: Transforming Automation

One of the most significant breakthroughs is the introduction of multi-agent orchestration. This feature allows multiple AI agents to work collaboratively, delegating tasks between one another to accomplish complex objectives. For instance, an agent could extract data from a CRM system, hand off the information to another agent to draft a document in Word, and then trigger a follow-up task in Outlook.

Such coordination means entire workflows—spanning IT, communications, and vendor management—can be managed seamlessly by AI. This approach reduces manual intervention and increases automation efficiency. However, balancing the autonomy of each agent with overall process control presents new challenges, especially in ensuring reliability and oversight as agents interact dynamically.

Copilot Tuning and Customization: Leveraging Your Own Data

Another major highlight is the expanded ability to tune Copilot using an organization’s unique data and communication style. By integrating custom AI models via Azure AI Foundry, developers gain more granular control over how Copilot interprets and responds to queries. This bring your own model capability empowers businesses to tailor AI solutions closely to their specific needs.

While this flexibility enhances relevance and performance, it also introduces tradeoffs regarding model management and security. Organizations must carefully vet custom models for quality and compliance, balancing innovation with responsible AI practices. Nevertheless, this shift marks a move toward greater ownership and adaptability in deploying AI across enterprise scenarios.

Enhanced Knowledge Features: Smarter, More Controlled AI Responses

Microsoft has also introduced new controls for managing the knowledge available to Copilot agents. Users can now define the sources and types of information agents access, ensuring more accurate and contextually appropriate responses. The integration of additional knowledge sources further enriches the AI’s understanding, making it a more dependable assistant for business-critical tasks.

These improvements offer organizations increased transparency and governance over AI-driven processes. At the same time, the need to configure and monitor these knowledge sources requires ongoing attention, as improper setup could lead to outdated or irrelevant outputs. Striking the right balance between broad information access and precise control remains a key consideration.

Developer Tools and Automation: Expanding the Possibilities

The latest release brings several new tools for both low-code and pro-code users. Notably, the addition of a Python-powered code interpreter, Visual Studio integration, and early robotic process automation (RPA) features significantly broaden Copilot Studio’s development scope. These tools enable the creation of more sophisticated, end-to-end automation solutions within the Microsoft ecosystem.

With these enhancements, developers can automate multi-step processes and deploy agents to platforms like SharePoint, increasing both productivity and innovation potential. However, the growing complexity of these workflows underscores the importance of robust testing and monitoring to ensure reliability at scale.

Conclusion: A New Era for AI-Driven Workflows

In summary, Microsoft Build 2025 signals a transformative period for Copilot Studio, positioning it as a comprehensive platform for multi-agent AI automation. The convergence of collaborative agents, customizable tuning, advanced knowledge management, and robust developer tools sets a new standard for enterprise productivity.

As organizations adopt these innovations, they will need to navigate the challenges of integration, oversight, and continuous improvement. Ultimately, Copilot Studio’s rapid evolution highlights Microsoft’s ambition to embed AI deeply into every facet of modern business, paving the way for smarter, more adaptive workflows across industries.

Keywords

Copilot Studio Microsoft Build AI tools developer productivity software development coding assistant cloud integration programming automation