How to Prepare SharePoint for Microsoft Copilot

If you’re planning to use Microsoft Copilot with SharePoint, start by reviewing your content, permissions and governance first.

A SharePoint environment is generally prepared for Microsoft Copilot when:

AI does not fix information management problems. In many cases, it makes them more visible.

Microsoft Copilot can access information users already have permission to view within SharePoint and OneDrive. That is what allows it to answer questions using company knowledge rather than relying solely on publicly available information.

The challenge is that many organisations have accumulated years’ worth of content, project sites, Teams workspaces, and duplicated documents. When multiple versions of the same information exist, AI may struggle to determine which source represents the current version.

For senior leaders, this is less about technology and more about confidence.

Can employees trust the answers they receive?
Can the organisation be confident that sensitive information remains appropriately protected?

Those questions are best answered before introducing AI-powered search and productivity tools.

Start by identifying what information exists and where it is stored.

Many organisations do not realise that Microsoft Teams can create SharePoint sites behind the scenes. Over time, this can create multiple locations holding similar information, often with different document versions and permission settings.

The objective is to create a cleaner and more reliable set of information sources so AI tools work from current and accurate content.

AI still benefits from good information architecture.

Information architecture refers to how sites, libraries and content are organised.

A well-structured SharePoint environment helps both people and AI find relevant information more easily. Separate departmental sites, project workspaces and dedicated libraries typically provide better context than one large site with deep folder structures.

Good navigation remains important too.

Employees should still be able to find key information without relying entirely on search or AI. Copilot should improve access to information, not compensate for a poorly organised environment.

Metadata provides additional information about a document.

Examples may include:

• Policy owner
• Approval status
• Department
• Review date
• Document category

This additional context helps AI identify more relevant information and allows users to ask more specific questions. Instead of searching for all policies, employees can search for approved HR policies or policies owned by a particular department.

Metadata does not need to be used everywhere. For policy libraries, metadata can be highly valuable. For some project workspaces, a simpler structure and clear naming conventions may be more appropriate. The goal is better information management, not additional administration.

This is often one of the biggest concerns around AI adoption.

Microsoft Copilot respects existing SharePoint permissions. The challenge is that historic permissions or sharing mistakes may already exist within the environment.

A common example involves sharing links.

An employee may create a file link intending to share it with a colleague. Depending on the sharing settings used, that action could unintentionally grant access to a much wider audience. Before AI-powered search, few people may have realised they had access. AI can make those files easier to discover.

Before rolling out Copilot, review:

• Site permissions
• Site owners
• Team memberships
• Organisation-wide sharing links
• Sensitive departments such as finance or HR
• Historic access settings

This is as much a governance exercise as a technology project.

Microsoft provides governance controls through Microsoft Purview, including retention policies, retention labels, sensitivity labels and Data Loss Prevention (DLP) policies.

In simple terms:

• Retention policies help control how long information is kept.
• Retention labels apply lifecycle rules to individual files.
• Sensitivity labels classify information according to risk or confidentiality.
• DLP policies help prevent sensitive information from being shared inappropriately.

These controls can help organisations protect important business information, manage risk and improve confidence in the information surfaced through AI tools.

Many organisations are also exploring AI products outside the Microsoft ecosystem.

In these situations, permission reviews become even more important.

Third-party AI applications may request access to SharePoint documents, OneDrive files, Teams conversations, emails and other Microsoft 365 content. Organisations should carefully review security, governance, GDPR and compliance considerations before connecting external platforms.

It is also important to understand that Microsoft sensitivity labels and related controls do not automatically extend to third-party AI applications.

Consider taking these practical next steps:

• Audit your SharePoint sites and Microsoft Teams workspaces to identify duplicate, outdated and unnecessary content.
• Review permissions and sharing links to ensure access is aligned with business requirements and sensitive information remains protected.
• Improve structure, naming conventions and metadata so employees and AI tools can find information more accurately.
• Assess governance controls, including retention policies, sensitivity labels and data protection requirements.
• Book a SharePoint Discovery Demo to gain an independent insight of a SharePoint environment, uncover AI readiness gaps, and build a practical roadmap for improving governance, security, information architecture and long-term value from Microsoft 365. A structured review can help reduce risk, clarify priorities and support more informed investment decisions before introducing Copilot or other AI tools.