A clear comparison of Microsoft 365 Copilot and Copilot Studio for UK businesses, what each does, who it is for, cost, and how to decide which to deploy first.
UK businesses evaluating Microsoft AI in 2026 frequently confuse Microsoft 365 Copilot with Copilot Studio. The names are similar, but these are fundamentally different products with different purposes, different price points, and different deployment models.
Microsoft 365 Copilot: AI for Individual Productivity
Microsoft 365 Copilot is an AI assistant embedded directly into the Microsoft 365 applications your staff already use, Word, Excel, PowerPoint, Outlook, Teams, and more. It works with each individual user's data and the content they have access to in Microsoft 365.
What it does:
- Drafts and summarises emails in Outlook based on your inbox and calendar context
- Creates first-draft Word documents, PowerPoint presentations, and Excel analyses from prompts
- Summarises Teams meetings and chat threads you were not present in
- Answers questions about content in documents and meetings you have access to
- Automates repetitive task sequences in individual applications
UK Pricing (2026): Microsoft 365 Copilot is £30 per user per month as an add-on to qualifying Microsoft 365 plans (M365 Business Standard and above, or E3/E5). This is a per-user licence, every person who uses it individually needs a licence.
Copilot Studio: Custom AI Agents for Business Processes
Copilot Studio is a platform for building custom AI agents that your organisation deploys to handle specific business processes, customer service, HR enquiries, compliance workflows, internal knowledge bases. Unlike M365 Copilot (which assists individuals), Copilot Studio builds agents that serve many users or operate autonomously.
What it does:
- Builds AI chatbots and agents deployed to Teams, websites, or Power Apps interfaces
- Grounds agents in your organisation's documents, SharePoint content, and Dataverse data
- Enables agents to take actions (create records, send emails, update systems) via Power Automate
- Handles multi-turn conversations with context retention across a session
- Supports autonomous agents that trigger from events rather than waiting for user input
UK Pricing (2026): Copilot Studio is licensed on a consumption model. You purchase message packs (25,000 messages for approximately £160/month). This means the cost scales with usage rather than user count, which is more cost-effective for agents used by large numbers of people infrequently.
Side-by-Side Comparison
| Factor | M365 Copilot | Copilot Studio |
|---|---|---|
| Primary use | Individual productivity in M365 apps | Custom AI agents for business processes |
| Who benefits | Individual knowledge workers | Teams, customers, or business processes |
| Data access | User's own M365 content | Defined organisational knowledge base |
| Requires building | No (embedded in M365 apps | Yes) agent must be designed and built |
| Deployment | Automatic when licensed | Deployed to Teams, website, Power Apps |
| Pricing model | £30/user/month | Consumption (messages) ~£160/25k messages |
| Can take actions | Limited (within M365 apps) | Yes, Power Automate integration |
| ROI driver | Individual time savings (minutes/day) | Process deflection and automation at scale |
Which Should You Deploy First?
Deploy M365 Copilot first if... your primary goal is giving knowledge workers more time by reducing individual task effort, drafting, summarising, and working within M365. ROI is relatively predictable (10–20 minutes saved per user per day) and adoption is immediate with minimal configuration.
Deploy Copilot Studio first if... your primary goal is deflecting a high volume of repetitive queries (customer service, HR, IT helpdesk) or automating a specific business process. ROI is concentrated in specific workflows rather than distributed across individuals.
Deploy both if... you have both requirements. They are complementary, not competing, M365 Copilot helps your staff work faster individually; Copilot Studio agents handle interactions and workflows at scale.
