MICROSOFT 365 · UPDATED JUNE 2026

Microsoft Copilot: What It Can Actually Do, and Where Most Organisations Underuse It

Microsoft Copilot is, depending on licence, several distinct products wearing the same name — and a lot of organisational confusion about “what Copilot can do” comes from people conflating them. Understanding the tiers properly matters before deciding how to roll it out.

Copilot Pro (increasingly branded Copilot Chat) runs on a standard Microsoft 365 licence and gives access to a data-protected AI chat experience, including the ability to analyse a handful of uploaded documents per session and draw on web search with enterprise data protection — meaning your prompts and data aren't used to train the underlying model and aren't visible outside your tenant. It has limited, surface-level integration with Word, Excel, and Outlook: useful for drafting and summarising, but it can't reach deep into your organisation's data.

Copilot for Microsoft 365, the full licensed tier, is qualitatively different because of what's called grounding: it can search and reason over your actual organisational content — emails, documents, Teams chats, SharePoint sites — that you have permission to see, and combine that with the model's reasoning to produce genuinely useful, context-aware output. Asking it to “summarise the project status from last week's emails and the shared planning doc” only works meaningfully at this tier, because it requires that grounding into your real tenant data.

The single biggest reason Copilot adoption stalls at a shallow level isn't the tool — it's that almost nobody gets shown what good prompting for Copilot actually looks like, and the default behaviour rewards lazy prompts with mediocre output. A prompt like “summarise this” gets a generic summary. A prompt that specifies the audience, the desired length, the structure, and what to deliberately exclude gets something close to publishable. Most users never learn this because nobody showed them, so they form an early impression that Copilot is “fine but not amazing” and stop pushing further.

The second major gap is that people use Copilot inside one app at a time — drafting in Word, summarising emails in Outlook — and never discover its more powerful cross-application capabilities, like building a PowerPoint deck directly from a Word document and a set of bullet points, or having it draft a Teams message summarising a meeting transcript with action items already extracted and assigned. These cross-app workflows are where the licence cost actually starts paying for itself, but they're rarely discovered through self-directed exploration.

Beyond conversational use, Microsoft offers two distinct ways to build AI agents on top of Copilot, and the difference matters for planning. Agent Builder, accessed directly within Microsoft 365 Copilot, lets you create declarative agents — essentially a configured persona with specific instructions, a defined knowledge source, and a narrow set of actions — that live inside the M365 apps your organisation already uses. It's the lighter-weight option, good for things like a documentation Q&A agent scoped to a specific SharePoint site.

Copilot Studio is the heavier, more capable option, built on the Power Platform rather than living inside individual M365 apps. It supports more complex conversation flows, integration with Power Automate for multi-step business processes, and connections to external data sources like Dataverse. The natural dividing line: if the agent's job is to answer questions grounded in a defined knowledge source within Microsoft 365, Agent Builder is usually sufficient and faster to build. If the agent needs to trigger actions across systems, follow branching conversation logic, or integrate with non-Microsoft tools, Copilot Studio is the right level of capability.

Rolling Copilot out at scale raises real governance questions that are easy to overlook in a pilot but expensive to retrofit later: which content sources should Copilot be allowed to ground against, how do you prevent it surfacing oversharing-risk content that technically has the right permissions but shouldn't realistically be summarised by an AI to just anyone with file access, and how do you monitor actual usage and adoption rather than just licence counts. Microsoft Purview integration addresses some of this directly, but it requires deliberate configuration — it isn't the default state.

The fastest way to close the gap between what Copilot can do and what most people actually use it for is structured, hands-on training rather than self-directed exploration — the cross-app workflows and serious prompting techniques are rarely discovered by accident. JBI Training runs a full pathway through Copilot, from first-time use through to enterprise deployment and agent building:

• Microsoft Copilot Essentials  https://jbinternational.co.uk/course/4898/microsoft-copilot-introduction-training-course
• Microsoft Copilot 365 Advanced  https://jbinternational.co.uk/course/4900/microsoft-copilot-365-advanced-training-course
• Create AI Agents in Copilot Studio  https://jbinternational.co.uk/course/3883/copilot-studio-agents-training-course
• Building AI Agents and Chatbots in Microsoft 365 Copilot  https://jbinternational.co.uk/course/4922/building-agents-in-microsoft-365-copilot-training-course
• Enterprise Microsoft Copilot Deployment  https://jbinternational.co.uk/course/4929/enterprise-microsoft-copilot-deployment-training-course
• View all Microsoft AI courses  https://jbinternational.co.uk/courses/microsoft-ai

JBI Training delivers instructor-led AI and technology training to corporate teams across the UK and internationally, virtually and face-to-face.