Microsoft Advances AI Assistants with New Capabilities

Microsoft’s latest push in AI assistants has reached a new level of maturity. The company is shifting its standard apps from chatbots that generate text to workflow producers, aiming to turn artificial intelligence into an autonomous digital workforce.

The idea behind ‘the agentic enterprise’ – Microsoft’s vision for the future of work – is to evolve AI systems beyond just answering questions. Instead, they will plan, execute, monitor, and collaborate on business tasks with minimal human intervention. It’s a significant upgrade in how companies use AI assistants today.

The first step toward this agentic enterprise is to transform Microsoft 365 Copilot from being largely reactive into an autonomous system that takes initiative. This means understanding goals rather than individual prompts, breaking work into multiple steps, and choosing the right tools for each task.

For example, instead of asking Copilot to write a sales report, users can say ‘Prepare next week’s executive sales review.’ The AI then gathers CRM data, analyzes spreadsheets, summarizes Teams conversations, identifies major customer risks, drafts PowerPoint slides, schedules presentations, and emails participants – all without constant prompting.

Microsoft 365 Copilot Cowork achieves this by turning massive, multi-step prompts into background execution plans with defined human checkpoints. It can run for hours or even days, making it a substantial leap forward in AI assistants for business use cases.

One of the most notable developments around Microsoft Copilot Cowork over the past few months is its transition from an experimental ‘Frontier’ feature to a generally available enterprise product. The company sees it as the next stage of AI assistants – one that doesn’t just answer questions but executes multi-step work on behalf of users.

To support this push toward more advanced AI tools, Microsoft has introduced two new research tools: Critique and Council. These enable more comprehensive data analysis and comparison across multiple top-tier models simultaneously, part of the company’s broader effort to develop multi-model AI capabilities.

Critique is designed for complex tasks like competitive intelligence, market analysis, scientific literature reviews, financial research, legal and policy analysis, and enterprise strategy documents. It requires evaluating evidence from many sources rather than just answering a single question – which makes it ideal for these types of high-level work.

Council works by routing the request to several models and presenting their responses side-by-side for comparison. This allows users to compare different answers to the same prompt and choose the one that best fits their needs, giving them more control over AI decision-making processes.

What’s unique about Council is its ability to query multiple AI models independently answer a single prompt. Users can see where models agree or disagree – which helps in evaluating the credibility of each response. In contrast, Critique involves having one model review and improve another model’s response before it’s returned.

In addition to these tools, Microsoft has released Legal Agent within Word as part of its 365 Copilot capabilities. This is specifically designed for legal professionals who need help drafting, reviewing, and analyzing documents directly from the comfort of their familiar document management environment – where they can interact with AI agents using natural language prompts.

Legal Agent assists throughout a legal document’s lifecycle by combining generative AI with enterprise document management features like citations, organizational knowledge, and version control. It drafts contracts based on templates or user input, reviews agreements for unusual clauses or inconsistencies, compares document versions to highlight changes between drafts – and summarizes lengthy contracts into concise overviews of key terms, dates, parties involved, and risks.

It can also suggest revisions to improve clarity or align language with organizational standards. Furthermore, Legal Agent extracts important terms from documents like renewal dates, payment obligations, termination provisions, indemnification clauses, and governing law – and even generates executive summaries that non-lawyers can quickly understand without needing extensive legal background.

Because Legal Agent operates within Word, lawyers interact with the agent using natural language prompts while continuing to edit their documents normally. Microsoft emphasizes that Legal Agent is intended as a tool for attorneys, not a replacement – users still need to review AI-generated content and provide approval before it’s finalized.