Microsoft 365 Copilot
Copilot can save real time in Outlook, Teams, Word and Excel, but only if your data is ready and people know how to use it. We start with a measured pilot, so you decide on wider rollout with evidence rather than a sales pitch.
Microsoft 365 Copilot works inside the apps your staff already use. It can summarise a long email thread, draft a reply, write up a Teams meeting or find the figure someone needs in a spreadsheet. For the right people, that adds up to hours a week.
It’s also a significant cost per user. That’s why we start small, measure properly and expand only where the numbers support it.
What changes for you
- You know how much time Copilot saves your people, on your work, before committing to more licences.
- Your data is ready, so Copilot answers from the right sources and nothing private turns up where it shouldn’t.
- Users start with prompts that work for your organisation, not generic examples.
What the rollout includes
Pilot group
People chosen for the tasks Copilot suits best, from more than one team.
Readiness checks
Permissions, sensitivity labels and licences checked before anyone gets access.
Real tasks
Meeting notes, email triage, first drafts and spreadsheet analysis, chosen with each team.
Weekly measurement
A short check-in and usage data every week, so the time saved is measured, not guessed.
Prompt library
Tried-and-tested prompts for your organisation’s own tasks, shared with every user.
Rollout decision
A report on what worked, what didn’t and who should get a licence next.
What happens, step by step
- 01Weeks 01–02
Prepare
Data and permissions checked, pilot group chosen, tasks agreed.
- 02Weeks 03–06
Pilot
Copilot in daily use, with training at the start and a check-in each week.
- 03Week 07
Measure
Time saved and feedback pulled together in a short report.
- 04Week 08
Decide
A clear recommendation: who should get Copilot next, and what to fix first.
Common questions
Do we need Copilot for everyone?
Will Copilot see files it shouldn't?
What about Copilot Chat?
Start with a readiness assessment.
We look at how you work, what your data looks like and where AI would save the most time. You get a scored report and a plan in plain English, whatever you decide next.