1. Copilot Tuning: AI That Speaks Your Business Language

Microsoft introduced Copilot Tuning, a low-code capability in Copilot Studio that allows organizations to fine-tune AI models using their own data, workflows, and terminology—without needing data scientists. This means businesses can now create domain-specific agents that reflect their unique voice and expertise.

Key features include:

• Low-code fine-tuning recipes for document generation, summarization, and expert Q&A.
• Secure data handling with built-in access controls and no exposure of training data.
• Integration with Microsoft 365 apps like Word, Teams, and SharePoint.

This makes AI customization accessible, allowing legal teams, consultants, and other specialists to create agents that think and write like their top experts

2. Multi-Agent Orchestration: AI That Works as a Team

Another major announcement is multi-agent orchestration in Copilot Studio. This allows multiple AI agents to collaborate on complex tasks—each handling a part of the workflow and passing results to the next.

For example:

• A sales agent pulls CRM data.
• A writing agent drafts a proposal in Word.
• A scheduling agent sets up follow-up meetings in Outlook.

This orchestration is currently in private preview and represents a shift toward agent ecosystems that mirror real-world teamwork.

3. Copilot Studio Enhancements: More Power to the Makers

Copilot Studio also received several upgrades:

• Agent Builder now supports embedded agents and richer controls.
• Agent evaluation tools help makers test and refine performance.
• New analytics dashboards provide insights into agent usage and effectiveness.

These tools make it easier for developers and business users alike to build, deploy, and manage intelligent agents across the Microsoft ecosystem.

4. Microsoft Teams: A Platform for Collaborative AI

Teams is becoming a hub for AI-powered collaboration. At Build, Microsoft announced:

• Agent2Agent Protocol (A2A): Enables agents to communicate and share data securely within Teams.
• Model Context Protocol (MCP): Lets agents access external AI services and tools.
• Updated Teams AI Library: Simplifies building collaborative agents in JavaScript and C#.

Additionally, Copilot interaction export APIs are now available, allowing organizations to audit and analyze Copilot usage for compliance and security.