Where 'saving a day a week' actually comes from
We say people typically win back around eight hours a week. Here's the honest, hour-by-hour breakdown of where that time hides — and which bits come back first.
“Save a day a week” sounds like marketing. So let’s do the honest version: here’s where the time typically hides in a normal office week, and what an AI assistant connected to your real work does to each piece. Your mix will differ — the categories won’t.
The breakdown
Email triage and replies — typically 2–3 hours back. Most people spend 60–90 minutes a day in their inbox, and most of that is sorting noise from signal and writing routine replies. With AI triaging the inbox and drafting responses in your voice, you review and send instead of read and write.
Meeting prep and follow-up — typically 1–2 hours back. Ten minutes of scrambling before each call, fifteen writing up afterwards, times a dozen meetings. A pre-meeting research routine and automatic notes turn both into a skim.
Reporting and updates — typically 1–2 hours back. The weekly report, the pipeline update, the status email — same structure every week, rebuilt by hand every week. Once it’s a reusable shortcut fed by your real data, it drafts itself and you edit.
Research and first drafts — typically 1–2 hours back. The blank page is the expensive part. Briefs, proposals, summaries and decks all start at 80% instead of 0%.
The in-between admin — typically about an hour back. Finding that thread, checking what was agreed, filling the form, comparing the options. Small individually; real in aggregate.
Add it up and the middle of the range is around eight hours — roughly a working day.
What comes back first
Honestly: email and meeting prep, usually within the first two or three weeks — they’re high-frequency, so small wins compound daily. Reporting follows once you’ve built your first shortcut. The deeper automation (the morning briefing, the hands-off admin) lands in the back half of the 8-week course, because it builds on everything before it.
The catch
None of this comes from typing cleverer prompts into a chat window. It comes from connecting AI to the tools you already use and then trusting it with whole tasks, with sensible guardrails. That setup is exactly what most people never get round to on their own — and it’s the spine of what we teach.
The maths from there is simple: at £1,750 for the course, a day a week pays it back within a couple of months — and then keeps paying.