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AI & Copilot Consulting

Copilot surfaces what a user already has permission to open. In most businesses that is considerably more than anyone intended, and nobody finds out until it is switched on.

The work that comes before the rollout

A permissions and data access review, because Copilot is a search engine over your own files. Oversharing that was invisible for years becomes a question in a chat window on day one. We find it and fix it first.

Deploying Copilot so it stays safe

Licensing that matches who will genuinely use it, sensitivity labelling on the data that matters, and conditional access so it is reached from managed devices. Then a pilot group, before anyone commits to the whole company.

Building the copilots worth building

Once the ground is safe, the value is in the specific: a copilot over your quoting history, a workflow that drafts the report someone writes every Friday. General enthusiasm does not survive contact with a real week of work.

Keeping it honest

An acceptable use policy in language staff will read, guidance on what must never be pasted into a prompt, and adoption reporting so you know whether the licences you bought are being used.

Common questions

Does our data train Microsoft models?

No. Microsoft 365 Copilot operates inside your tenancy and your data is not used to train the underlying models. That is worth stating plainly, because it is the first question every board asks.

Do we need Copilot licences for everyone?

Almost certainly not. We start with the roles whose work Copilot actually changes, measure whether it did, then expand.

WHAT'S OFFERED

AI readiness assessment across data, licensing and process
Secure Microsoft 365 Copilot deployment
Permission and data access review before rollout
Custom copilots and workflow automation builds
Acceptable use policy and staff guidance
Adoption and usage reporting
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