In short
- For UK businesses training 10 or more people
- Around 16 people per workshop, with multiple sessions for larger groups
- Delivered on-site anywhere in the UK, or live online
- A scoping call confirms tools, licences, tasks and format
- Price depends on group size and format
About this course
Hands-on ChatGPT training for UK business teams who want to move beyond playing with prompts and start getting useful work done. We cover everyday productivity, advanced prompt patterns and team workflows — tailored to your industry and the way your people actually work.
See it in action
What a ChatGPT session actually looks like
Choose a tool and explore a sample task, from brief to draft to human review.
A consultancy turning discovery-call notes into a client workshop proposal.
Sample brief
Brief
Prompt — workshop proposal for Harlow & Finch
Written by the account lead
You are helping me draft a workshop proposal.
Reader: Head of Operations. Decision: approve a pilot.
Discovery call notes: 40-person ops team, monthly supplier reports take two days.
Sections: context, proposed sessions, what changes, next step.
Rules: no invented figures, flag every assumption, under 700 words.
Sample draft
AI-assisted draft
Draft proposal — Harlow & Finch
Generated from the brief above
1. Context
Your operations team of roughly 40 spends about two days a month assembling supplier reports from several sources.
2. Proposed sessions
Session A — drafting and summarising with agreed house rules.
Session B — the supplier report, worked end to end on your own template.
3. Assumptions
Assumption: attendees can sign in to Claude on your current plan.
Assumption: the report template can be shared with sample data removed.
Sample review
Human review
Review pass — before it leaves the building
Account lead's edits
"Two days a month" checked against the call notes — kept, wording softened to "around two days".
Assumption about licences moved to the top so it is not missed.
Session B renamed to match the client's own term for the report.
Removed a sentence implying a saving the team has not measured.
Signed off by the person who owns the relationship, not by the tool.
A cross-department Teams meeting turned into owners, actions and a follow-up email.
Sample brief
Brief
Meeting notes — warehouse handover review
Teams recording and chat notes
Tuesday, 45 minutes. Operations and Customer Service.
Night-shift handover sheet keeps arriving incomplete.
Priya to look at the template; Marcus unsure who owns the printer list.
Agreed: trial a shorter sheet from the start of next month.
Someone mentioned a customer complaint — detail not captured.
Sample draft
AI-assisted draft
Actions extracted by Copilot
Decisions separated from discussion
Decisions
Trial a shortened handover sheet from the 1st.
Actions
Priya — redraft the handover template — by Friday.
Marcus — confirm who maintains the printer list — by Wednesday.
Open questions
Which customer complaint was referred to? Not stated in the recording.
Sample review
Human review
Follow-up email — checked, then sent
Drafted in Outlook by the meeting chair
Subject: Handover review — decisions and actions
The due dates in the draft (Friday, Wednesday) were not in the meeting — they are assumptions, and were confirmed with Priya and Marcus before the email went out.
Owners confirmed with each person; anything unconfirmed stayed marked as proposed.
Open question left in the email rather than guessed at.
One "agreed" downgraded to "proposed" — the recording did not show agreement.
Prompt saved to the team library so the next chair reuses it.
A campaign brief becoming a customer email, then a fact and tone review.
Sample brief
Brief
Campaign brief — spring service reminder
Written by the marketing lead
Audience: existing customers, last service over 12 months ago.
Purpose: book a service slot online.
Tone: plain, warm, no hard sell, British spelling.
Must include: booking link, opening hours, cancellation terms.
No customer data pasted in. No discount claims — none approved.
Sample draft
AI-assisted draft
Email draft, version 1
Plus two alternative openings
Subject: Time for your annual service?
It's been a while since we last saw your vehicle. Booking takes a minute and slots are open through April.
Alt opening A: leads on the reminder.
Alt opening B: leads on the booking link.
Marked: "slots open through April" needs confirming with the workshop.
Sample review
Human review
Fact and tone review
Checked by the marketing lead
Availability confirmed with the workshop before the claim stayed in.
Cancellation terms corrected against the current policy page.
Opening B chosen — shorter, and the ask is visible on a phone.
Removed an implied guarantee about same-week slots.
Final wording approved by a person before scheduling.
Scattered project notes becoming a Workspace-style summary, then verified.
Sample brief
Brief
Project notes — office move, week 6
Google Docs bullets and a Meet summary
Fit-out contractor confirmed for the second week of June.
Desk count still under discussion — sheet says 62, facilities said 58.
IT cutover date not yet agreed.
Summary needed for Thursday's steering group. No supplier names outside the team.
Sample draft
AI-assisted draft
Draft summary in Docs
Structure agreed first: status, decisions needed, risks
Status
Fit-out is scheduled for the second week of June. Desk numbers are unresolved.
Decisions needed
Confirm the desk count (sheet: 62 / facilities: 58).
Agree an IT cutover date.
Conflict shown rather than averaged or silently resolved.
Sample review
Human review
Verification before sharing
Project manager's pass
Both desk figures checked against the sheet's latest tab.
Contractor dates confirmed with the email thread, not the summary.
Supplier name removed — the document goes wider than the team.
Structure saved as a template for next week's update.
Explore the curriculum
Pick a topic, see how it is taught
Four of the topics covered in ChatGPT training: pick one to see a sample exercise and what attendees take away.
Prompt patterns that hold up
Sample exercise
The same task is attempted with a thin prompt and a full brief, and the difference is compared as a group.
What attendees leave with
A prompt template for the task your team repeats most.
Projects, GPTs and custom instructions
Sample exercise
A recurring task is set up once with instructions and reference material, then run twice to check it is repeatable.
What attendees leave with
One configured, repeatable workflow the team can keep using.
Files, data and long documents
Sample exercise
Teams agree what may be attached, then work a task using anonymised material only.
What attendees leave with
An agreed rule on what may and may not be uploaded.
The critique pass
Sample exercise
A finished draft is reviewed against the team's own checklist, and the author verifies every factual claim.
What attendees leave with
A critique prompt added to the shared prompt library.
What you'll learn
- How ChatGPT works and where it's genuinely useful (and where it isn't)
- Writing prompts that get consistent, high-quality outputs
- Using GPTs, projects and custom instructions for repeatable workflows
- Working with files, data and long documents safely
- Building team-wide prompt libraries and brand-voice templates
- Choosing the right model for the right task across the OpenAI line-up
How we deliver this training
Instructor-led workshop
A practical, hands-on session led by a Day Seven trainer. Run in-house for your team, or join an open workshop in Leeds. UK-based, jargon-free, and built around the work your team does.
Get a training proposalExample exercises we can scope for your team
We agree the exercises with you before the session, so they match the work your team does.
- A set of reusable prompts for the tasks your team repeats most, written so a colleague can pick them up and follow the same brief and review process
- A shared team prompt library, with a simple naming convention so people can find what they need
- One end-to-end task workflow — for example a report, a proposal or a customer reply — worked through and reviewed by a human before it goes out
- A short checklist for reviewing AI output: what to check, who signs it off, and what should never be pasted in
- A brand-voice or house-style brief attendees can attach to drafting tasks
What we need from you beforehand
- A short scoping call to agree the tools your team uses, the tasks that matter and the format that fits your week.
- Confirmation that attendees can sign in to the tool on their team's current plan or licences before the day.
- Two or three real, non-sensitive examples per team — a typical document, report or email thread — so exercises use your own work.
- A named internal contact for room, kit and joining details, plus anything your IT or security team needs to approve first.
How to tell whether it worked
- Agree at scoping which two or three tasks the training should make faster or easier, so there is something concrete to look at afterwards.
- Compare the time taken and the quality of the output on one selected task before and after the session, so there is a performance measure alongside how people feel.
- Capture a simple confidence rating from attendees before and after the session on those same tasks.
- Ask managers a month later whether the agreed tasks are being done with the tool, and how often.
- Keep the team's shared prompt library as a visible sign of use — an empty library a month on is a useful signal in itself.
Our guide on measuring AI training ROI sets this out in more detail.
Who it's for
Weighing up ChatGPT against Claude for your team? Our even-handed comparison covers strengths, weaknesses, admin and governance controls and cost at team scale — and is honest about where each one wins.
Read our Claude vs ChatGPT comparisonFrequently asked questions
Before you buy
If you are still building the business case, our guides cover what AI training costs in the UK, how to choose an AI training provider and how to measure the return on AI training.