Microsoft Advances Intelligence and Automation in AI Apps

Microsoft is steadily rolling out features within its standard apps to shift them from just chatbots that generate text to workflow producers. Its strategy is to evolve AI from a conversational assistant into an autonomous digital workforce -- AI systems that don't just answer questions, but plan, execute, monitor and collaborate on business tasks with minimal human intervention.

The first part of what Microsoft calls "the agentic enterprise" is to evolve Microsoft 365 Copilot from being largely reactive to taking initiative. Microsoft's newer systems are designed to:

• Understand a goal rather than a single prompt
• Break work into multiple steps
• Choose appropriate tools
• Retrieve company information
• Interact with software applications
• Monitor progress
• Return when a task is complete

For example, instead of asking Copilot to write a sales report, a user might say "Prepare next week's executive sales review." The AI could then:

• Gather CRM data
• Analyze spreadsheets
• Summarize Teams conversations
• Identify major customer risks
• Draft PowerPoint slides
• Schedule the presentation meeting
• Email participants

Without needing continual prompting.

The updated Copilot Cowork does this, turning massive, multi-step prompts into background execution plans with defined human checkpoints. It can run in the background for hours or days. 

The biggest story around Microsoft Copilot Cowork over the last few months is that it has moved from an experimental "Frontier" feature into a generally available enterprise product. Microsoft is positioning it as the next stage of AI assistants -- one that doesn't simply answer questions, but executes multi-step work on behalf of users.

Critique and Council
Microsoft has introduced two new research tools that allow a single prompt to deploy across multiple top-tier models simultaneously.

Critique is part of Microsoft's broader push toward multi-model AI. Rather than depending exclusively on one frontier model, Microsoft can orchestrate multiple different models, including its own and third-party models, depending on the task.

Microsoft says Critique is designed for complex research for work such as:

• Competitive intelligence
• Market analysis
• Scientific literature reviews
• Financial research
• Legal and policy analysis
• Enterprise strategy documents

These tasks require evaluating evidence from many sources rather than simply answering a question.

Microsoft Council is similar to Critique in that it lets users consult multiple AI models simultaneously instead of relying on a single model. Microsoft unveiled it alongside Critique and Copilot Cowork as part of its broader push toward multi-model AI.

Council acts like a panel of AI experts. Rather than sending your prompt to one large language model, it routes the request to several models and presents their responses side by side for comparison.

This gives users the ability to compare different answers to the same question to see where models agree or disagree and choose the response that best fits their needs.

Microsoft introduced Council and Critique together, but they solve different problems. Council queries multiple AI models independently answer the same prompt so you can compare outputs while with Critique, one AI model reviews, challenges and improves another model's response before it's returned.

Legal Agent in Word
Finally, Microsoft has released Legal Agent in Word, a Microsoft 365 Copilot capability designed to help legal professionals draft, review, and analyze legal documents directly within Microsoft Word.

Copilot already works as a general-purpose writing assistant, but this agent is tailored for common legal workflows by combining generative AI with enterprise document management, citations, and organizational knowledge.

Microsoft introduced Legal Agent as part of its broader strategy to build industry-specific AI agents for professions. It most recently released AI tools for retail edge networks.

Legal Agent is designed to assist throughout the lifecycle of a legal document. Its capabilities include:

• Drafting contracts from templates or natural-language instructions.
• Reviewing agreements to identify unusual clauses, missing provisions or inconsistencies.
• Comparing document versions, highlighting substantive changes between drafts.
• Summarizing lengthy contracts into concise overviews of key obligations, dates, parties and risks.
• Suggesting revisions to improve clarity or align language with organizational standards.
• Extracting key terms, such as renewal dates, payment obligations, termination provisions, indemnification clauses and governing law.
• Generating executive summaries that non-lawyers can quickly understand.

Because it operates inside Word, lawyers can interact with the agent using natural-language prompts while continuing to edit the document normally.

Microsoft emphasizes that Legal Agent is intended to assist attorneys, not replace them. Users still have to do reviews and provide approval of the AI's work.

Posted by Andy Patrizio on 07/10/2026