Microsoft Copilot for Business: The Complete AI Productivity Guide

Microsoft Copilot is the AI layer built into every Microsoft 365 application — Word, Excel, PowerPoint, Outlook, Teams, and the Power Platform. For the hundreds of millions of businesses already using Microsoft 365, Copilot represents the fastest path to enterprise-wide AI adoption with zero new tools to learn.

What Microsoft Copilot Does in Each App

• Word: drafts documents from a brief, rewrites for tone and clarity, summarises long reports
• Excel: generates formulas, creates charts from natural language, analyses trends, and flags anomalies
• PowerPoint: creates presentations from Word documents or a text brief, with branded slide design
• Teams: transcribes and summarises meetings, lists action items, and answers questions about past calls
• Outlook: drafts email replies, summarises long threads, and schedules meetings automatically

Copilot Studio: Build Custom AI Agents

Beyond the built-in Copilot features, Microsoft Copilot Studio lets businesses build custom AI agents without writing code. These agents can answer employee HR questions, handle IT helpdesk requests, process orders, and integrate with SharePoint, Dynamics 365, and hundreds of other connectors. Copilot Studio is built on Power Platform and uses the same low-code environment familiar to many Microsoft enterprise users.

Microsoft Copilot Pricing

Microsoft 365 Copilot costs $30 per user per month, added on top of an existing Microsoft 365 Business or Enterprise subscription. For organisations with 300+ seats, volume discounts are available through Microsoft's Enterprise Agreement. Copilot Studio is priced separately at $200 per month for 25,000 messages.

Enterprise Security and Compliance

Microsoft Copilot inherits the security and compliance posture of your Microsoft 365 tenant. It respects existing data permissions — so Copilot will only surface information a user already has access to in SharePoint, OneDrive, and Teams. This makes it significantly safer for enterprise deployment than standalone AI tools that require separate data governance frameworks.