AI in the places
where it saves work.
We look first at the work that piles up or keeps coming back, and only then whether Copilot or a custom assistant fits. With agreements on data and use built in from the start.
Where you can put AI to work, and how you keep a grip on it.
Microsoft 365 Copilot
Copilot in Word, Excel, Teams and Outlook. Switching it on is the quick part. The biggest job is adoption, so people actually start using it.
Copilot Studio
Custom assistants and chatbots on your own knowledge. Including the boring but important bits: which sources, which permissions, which behaviour.
AI in Power Platform
AI Builder in your flows: reading reports, classifying forms, with a person checking where you want it.
AI Governance
Clear on who's allowed what, which data AI may use, and what happens to answers. Recorded in a way that holds up in practice.
Where is AI smart here?
Almost anything can be done with AI these days, so that question says little. The better question is where it actually pays off without risk: work that recurs a lot, holds a lot of text, or is now sorted out by hand. That's where it's at its best, and where we start.
Signals AI adds something
- A lot of time goes into searching and summarising information
- The same questions come round again every week
- Analyses that are still done by hand
- A need for answers, including outside office hours
- A growing pile of unstructured input (emails, PDFs, forms) that someone processes by hand