Key takeaways
- AI assistants can see whatever the user can see, so fix permissions first
- Clean up old shared folders and overshared files
- Write a short policy on what staff can and cannot paste into AI tools
- Start with a pilot group and measure real time saved
AI assistants built into email, documents and meetings are now part of everyday office software. They can summarise long threads, draft replies and pull figures from reports. The businesses getting the most from them did some groundwork before switching them on.
Permissions are the first risk
An AI assistant works with the files and messages a user already has access to. If an old folder with salary data was shared with everyone years ago, the assistant may surface it in an answer. Review sharing on SharePoint, OneDrive, Teams and shared drives before rollout.
Tidy your data
Better data gives better answers. Archive outdated files, remove duplicate versions and keep current documents in clearly named locations. This also makes regular search work better for your team.
Set a simple usage policy
Staff need clear guidance. A one-page policy should cover:
- Which AI tools are approved for company work
- What data must never go into public AI tools
- That AI output must be checked before it is sent or published
- Who to contact with questions or concerns
Secure the accounts
AI does not change the basics. Multi-factor authentication, up-to-date devices and proper offboarding of leavers matter even more when one account can query a large amount of company information.
Pilot before rolling out
Choose a small group with clear use cases, such as sales proposals, meeting notes or customer email. Track time saved and quality over a few weeks. This shows whether licences pay for themselves before you buy them for everyone.
Getting started
We review your Microsoft 365 or Google Workspace permissions, fix oversharing, set up security controls and help run a pilot. Contact us for an AI readiness check.
Frequently asked questions
Business versions of Microsoft 365 Copilot are designed not to use your organisation's data to train the underlying models. Check the current terms for any tool you adopt.
Rarely. Most businesses start with the roles that write, summarise or analyse the most.
Yes. Web filtering and data loss prevention policies can limit or block unapproved tools.
For a small or medium business, usually one to two weeks including fixes.
