In short
ChatGPT training should cover accounts, briefing, checking and team sharing, using each team's real work. Here's what to include and what to skip.
ChatGPT training for staff should cover five things: which account to use and why, how to brief ChatGPT with your own files and context, how to check what comes back, how your team shares its work in ChatGPT, and how all of that applies to each team's own jobs. It should not be a tour of every button. Good training starts from the habits your staff already have and turns them into a way of working the whole business can rely on.
That last point matters. If some of your staff already use ChatGPT, at home or at work, training should build on what they do rather than start again. Its job is to make that use consistent, safe and worth the time.
Why isn't giving staff a ChatGPT login enough?
Because access and skill are different things. Someone who asks a vague question gets a vague answer, decides ChatGPT isn't much use, and goes back to doing things the long way. Someone else pastes in a client document without thinking about where it's going. Neither of them is the problem. Nobody showed them how.
The UK figures show how shallow AI use still is. In July 2026 the ONS reported that among businesses with 10 or more employees using at least one AI technology, only 10% report using AI extensively. Only 15% of businesses with 10 or more employees report that more than half of their employees use AI as part of their daily work. Logins alone don't close that gap. Staff need to see what the tool does with their own work.
What should staff learn about their ChatGPT account first?
Which account their work belongs in, and what that account means for your data. This comes first because every other habit builds on it.
OpenAI separates its business plans from personal ones. Its business data page, which we checked in November 2026, lists ChatGPT Enterprise, ChatGPT Business, ChatGPT Edu, ChatGPT for Healthcare, ChatGPT for Teachers and its API platform, and states: "We don't train our models on your organization's data by default." The same page says qualifying organisations can configure how long OpenAI retains business data, and it lists single sign-on and Member, Admin and Owner roles among its controls.
Training turns that into plain rules for your staff. Sign in with your work account, not a personal one. Know who your workspace admin is. Know what your AI policy says never goes into a prompt. If your business hasn't written one yet, agree the basics before the session so the training can teach them.
Which ChatGPT skills save staff the most time?
Three skills do the heavy lifting, and they're the ones to spend the session on.
The first is giving ChatGPT the material, not just the question. Upload the document, paste in the email thread or share the notes, then say who the output is for and what it needs to do. ChatGPT working from your source material produces something far closer to usable than ChatGPT guessing.
The second is asking for the shape you need. A table of options, a one-paragraph summary for a manager, three versions of a reply in different tones, a checklist from a long policy. Staff who ask for a specific format spend less time rewriting.
The third is using ChatGPT to think, not only to write. Ask it to find the gaps in a plan, list the questions a customer will ask, or argue the other side of a decision. This is where ChatGPT becomes more than a writing tool.
Underneath all three sits checking. Staff need to read every output in full, trace facts back to the source and confirm any figure before it's used. The person who sends it owns it.
How should a team share its ChatGPT work?
Sharing is the part someone using ChatGPT on their own never needs to learn, and it's what turns a group of separate users into a team working from the same material.
OpenAI's announcement of 25 September 2025 rolled out shared projects for its ChatGPT business plans, so teammates could add files and instructions to one project together, and stated that "Projects can only be shared with workspace members for ChatGPT business plans." The same announcement made connectors to other work tools generally available, and said they "respect existing content permissions".
Check with your workspace admin what your plan offers today, then build the training on it. Two decisions matter. Someone owns each shared project and keeps its files and instructions current, because a project holding last year's price list does more harm than good. And your admin settles which work tools ChatGPT can reach before staff start connecting them, so nobody has to guess.
What should ChatGPT training leave out?
A feature tour. ChatGPT's features change, and a session that walks through every menu dates fast and doesn't stick. Teach the habits that last and show the features your team will use on Monday.
Leave out generic prompt lists copied from the internet, too. Prompts only work when they're built on your documents, your customers and your tone. The prompts your team writes in the session, on its own tasks, are the ones it keeps using.
And leave out any idea that ChatGPT makes decisions. It drafts, summarises and suggests. People decide, and training should make that split obvious in every exercise.
Should every team get the same ChatGPT training?
No. The account rules, the briefing skills and the checking habits are the same for everyone, but the exercises shouldn't be.
An operations team needs procedures, supplier emails, schedules and weekly reports, which is what our AI training for operations teams works through. A sales team needs proposals and follow-ups, a finance team needs commentary on checked figures and HR needs policies and careful handling of personal data. Train by team where you can, so every exercise is a job someone recognises from their own week.
If your business also uses Microsoft Copilot or Claude, cover which tool does which job in the same session, so staff know where each task belongs.
How does DLR Programmes run ChatGPT training?
Our ChatGPT training for staff starts from three things you give us: your team's real tasks, your ChatGPT plan and your AI policy. Every session is private and hands-on for up to 12 people, held at your offices anywhere in the UK, at a venue or live online. You get one price for the group before you book, and our workshop attendees rate us 5/5.
For teams new to AI, or organisations writing their first AI policy, our AI for Business session gives a practical grounding in ChatGPT and other AI tools, with prompting, admin and operations, and responsible use all covered. We've signed the Responsible AI Use Campaign's 10 principles, so human sign-off is part of every exercise.
Frequently asked questions
Do staff need ChatGPT Business to be trained?
No, but company work belongs on a business plan your organisation controls. OpenAI's business data commitments apply to its business plans, such as ChatGPT Business and ChatGPT Enterprise.
Can ChatGPT training be done online?
Yes. We run live online sessions as well as sessions at your premises or a venue, all hands-on and for up to 12 people.
How long should ChatGPT training take?
A half day covers the account rules, briefing, checking and practice on real tasks. A full day or a short series adds time for shared projects and team-specific work.
Can you train us on ChatGPT and Copilot together?
Yes. We train on both in one session and show staff which jobs belong in which tool. Claude and other approved AI tools can be added too.
Plan your team's ChatGPT training
Tell us your ChatGPT plan, your group size and the tasks that fill your team's week, and we'll reply with a session plan and one price for your group. Call +44 1382 699595 or plan your ChatGPT training.
