In January 2026 the University of Manchester became the first university in the world to give every student and staff member access to Microsoft 365 Copilot, paired with training on responsible use. Whatever you think of the specifics, it’s a useful case study in something most organisations are about to face: what happens when an AI assistant goes from a pilot with twenty people to everyone, all at once.
The rollout is the easy part
Flipping the licence switch takes a day. The hard parts show up afterwards: people using the tool for things it’s bad at, inconsistent output quality feeding into real decisions, and a support burden nobody scoped. Pairing access with mandatory responsible-use training is the detail worth copying — the training isn’t a compliance checkbox, it’s the thing that determines whether the rollout creates value or noise.
What “responsible use” actually needs to cover
- Where the tool’s output can and can’t be trusted without verification.
- What data must never be pasted into it.
- How to attribute and disclose AI assistance in work that others rely on.
- Who to ask when the tool is confidently wrong.
The measurement problem
Most broad AI rollouts can’t answer “did this help?” six months later because nobody defined what help would look like. Before a wide deployment, pick two or three concrete workflows you expect to improve and measure those specifically. Vague productivity surveys won’t tell you anything actionable.
Summary: Universal access to an AI assistant is a change-management project wearing a software licence. The organisations that treat it that way get more out of it than the ones that just buy seats.
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