AI Foundations
- What these tools actually do — without the mathematics
- Where they hold up, where they fail, and why they sound certain when wrong
- Enough vocabulary to sit in the meeting and judge the claims
AIReady Workforce · Corporate Practice
In every organisation there are now two groups: staff who get real work out of these tools, and staff who don't. The gap is training, and it widens every quarter. This programme closes it — hands-on, across every function, on the tools your people already have open.
Vendor-neutral across ChatGPT, Microsoft Copilot, Gemini and Claude — the skill transfers whichever one you standardise on later. So training doesn't have to wait behind a licensing decision or an IT rollout. It can start on what's on their desks today.
What the programme covers
What actually changes on Monday
Faces a blank page
Edits a solid first draft
Reads a 40-page policy all afternoon
Briefs the team on it before lunch
Copies prompts found on LinkedIn
Writes their own, for their own work
Pastes in whatever's on screen
Knows exactly where the line sits
Trusts the output, or distrusts all of it
Checks it properly, and quickly
Tried it twice, went back to the old way
Built it into the weekly routine
Who we run it for
Tell us who's in the room — size, functions, and where the week currently goes — and we'll come back with a shape for the programme, a suggested cohort split and what it costs.