Microsoft 365 Copilot Tuning Enhances Agreements Solution for Smarter AI-Powered Document Management

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Microsoft announces the integration of Microsoft 365 Copilot Tuning with its Agreements solution, revolutionizing document management by enabling AI-powered drafting, review, and redlining. This fusion boosts productivity, accuracy, and compliance, streamlining workflows directly within Word and Teams. Unique :

Microsoft Unveils Agreements and 365 Copilot Tuning Integration

In today’s fast-moving AI-driven world, managing business documents efficiently is a must. Microsoft just announced a game-changing integration between its Agreements solution and Microsoft 365 Copilot Tuning. This combo promises to speed up document workflows while boosting accuracy and compliance.

What’s New?

Agreements is an end-to-end tool that automates workflows for high-value contracts like NDAs, purchase agreements, and HR offer letters. It centralizes signed documents, extracts key info automatically, and sends alerts for expiring contracts. Now, with Microsoft 365 Copilot Tuning integrated, users can bring their own fine-tuned AI models directly into the Agreements review process.

“With Agreements and Microsoft Copilot Tuning you can achieve next level productivity gain in the flow of work within Word and Teams experience.”

This means AI-based drafting, reviewing, and redlining become smarter and more tailored to your specific business needs. The integration works seamlessly within Word and Teams, making it super convenient for legal and compliance teams.

Major Updates to Look Out For

  • Fine-tuned AI Models: Use Microsoft 365 Copilot Studio’s low-code tools to create task-specific models that improve agreement reviews.
  • Secure Collaboration: Agreements supports secure Shared Channels for external parties, currently for B2B and soon B2C users.
  • eSignature Integration: Draft, revise, and sign agreements securely using SharePoint eSignature or third-party providers like DocuSign and Adobe.
  • Easy Model Setup: Simply select your fine-tuned model from the Agreements app in Teams and assign it to specific AI tasks like review or drafting.

Why This Matters for Tech-Savvy Businesses

Manual contract management is slow and error-prone. This integration slashes processing times from weeks to hours while ensuring legal compliance. Plus, it keeps everything within the trusted Microsoft 365 security boundary.

“Together, Agreements and Microsoft 365 Copilot Tuning can help you securely organize and manage all your agreements within Microsoft 365.”

For organizations looking to leverage AI without the complexity and cost of building models from scratch, this is a huge win. The low-code fine-tuning approach makes it accessible for makers and IT pros alike.

Get Started Today

Microsoft plans to make Agreements generally available this fall. Meanwhile, interested users can sign up for the preview and explore detailed documentation on Agreements, Copilot Tuning, and SharePoint eSignature.

If you’re attending Microsoft Build 2025, don’t miss breakout session 177 on fine-tuning models for task-specific agents. Also, swing by the Microsoft SharePoint demo station to see these tools in action.

With this integration, Microsoft is clearly pushing the envelope on AI-powered productivity for document workflows. It’s a must-watch for any tech-savvy business aiming to streamline legal and compliance processes.

  • Agreements automates workflows for high-value documents like NDAs and purchase orders with built-in compliance.
  • Users can import signed agreements, extract key data, and receive expiration alerts in a centralized hub.
  • Secure Shared Channels enable seamless collaboration with external parties, supporting B2B and soon B2C users.
  • Microsoft 365 Copilot Tuning allows low-code fine-tuning of AI models tailored to specific tasks using enterprise data.
  • Fine-tuned AI models can be easily configured and applied within Agreements tasks, enhancing review accuracy in Word and Teams.
  • From the New blog articles in Microsoft Community Hub



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