AI Training for Marketing and Comms Teams: A UK Buyer's Checklist

Look for five things: a syllabus built around tasks your team actually does, training on the tools you will keep paying for, a clear rule on what data goes in, practice on your own material with feedback, and follow-up after the day. If a provider cannot show all five in writing, keep looking, whatever the price.

Most training pages list topics ("prompt engineering", "AI for content") rather than outcomes, so two providers can look identical and deliver very different days. The checklist below turns each of the five into questions you can send by email, a score out of three, and a red flag that should stop you signing. It is written for a small UK marketing or comms team of three to fifteen people, usually without a dedicated learning budget, who need to know what they are buying.

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The worked example is a five-person marketing team inside a translation agency: a head of marketing, two content writers, a designer and a client-comms coordinator. They write case studies and newsletters, handle LinkedIn, and reply to client queries. That mix of public content and confidential client material shapes the data section more than anything else.

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Start by writing down what the training must change

Before you contact anyone, write three sentences of the form "After training, [role] can [task] in [time] without [problem]". It takes ten minutes and saves hours of sales calls, because a provider can then answer yes or no to something concrete. For the translation agency team they were:

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• A content writer can produce a first draft of a 600-word case study from interview notes in under 40 minutes, with every claim traceable to the notes.
• The client-comms coordinator can draft replies to the five commonest client queries without pasting any client's confidential text into a public tool.
• The head of marketing can say which of the team's tools are approved, and the team can say why.

Keep these sentences open when you read proposals. Anything in the proposal that does not help one of them is padding.

The checklist, with a score for each item

Score each provider 0 (not answered), 1 (answered vaguely), 2 (answered with specifics), or 3 (answered with evidence you can check, such as a sample outline or a named rule). Fifteen items below give a total out of 45; the section at the end shows how I would read it.

Syllabus: is it built round tasks or topics?

1. Does the outline name tasks your team does? "Writing a case study from interview notes" beats "generative AI for content". Ask for the outline as a document, not a web page that may change.
2. Is there a session that covers checking output? A day that teaches prompting and skips verification trains people to publish plausible mistakes. Look for a named exercise that finds planted errors.
3. Does it cover claims, copyright and brand voice? Marketing and comms teams are judged on what they publish. Ask how the training covers advertising claims, image and text rights, and keeping your tone of voice. For UK advertising the CAP Code applies whoever, or whatever, wrote the copy: its rule 3.7 says marketers must hold documentary evidence for objective claims before an ad is published, so ask whether the course teaches writers to trace each claim in an AI draft back to a source. If you want to see how a team keeps voice consistent afterwards, how agencies keep brand voice consistent in AI-written content sets out the method.
4. Is the level matched to your team? Ask how they find out what your people already know. A short pre-course survey of five questions is a good sign; a one-size deck is not.
5. Is the trainer someone who does the work? Ask what the trainer has produced with these tools in the last three months. You are not looking for a certificate; you are looking for someone who can answer "what would you do when the output invents a statistic?"

Tools: will you be trained on what you will actually use?

6. Which tools are covered, and why those? The answer should be tools your team can reach: for a Microsoft 365 office, Copilot Chat comes at no extra cost with eligible business plans, while the paid Microsoft 365 Copilot Business add-on was $21 per user per month on annual billing when I checked on 4 November 2026; for Google Workspace, Gemini is built in at a level that depends on the plan; ChatGPT Business and Claude Team were each $20 a seat billed annually or $25 monthly, from two seats. A trainer who teaches three tools you will not buy has wasted a third of your day.
7. Will it use your accounts or theirs? Training on the trainer's own account hides the settings and permissions your staff will meet on Monday. Ask for hands-on practice in a work account, or a sandbox with the same settings.
8. Is the content up to date, and how does it stay so? Tools change monthly. Ask when the material was last revised and what happens if a feature changes between booking and delivery. Several tools mentioned in older training have been retired or renamed, so a deck dated more than a few months back deserves a question.

Data rules: what goes in and what never does

9. Is there a written rule on what staff may paste? A good provider leaves you with a one-page staff rules sheet, in plain words, listing data that must never be pasted (client names, contracts, personal details) and the placeholder method for everything else. The guide to putting customer data into ChatGPT is the background reading.
10. Does it explain the difference between consumer and business plans? On consumer plans, training is often a setting the user has to find: Claude's pricing page, for example, lists model training on its individual plans as opt-out. Business plans (ChatGPT Business, Claude Team, Microsoft 365 Copilot, Gemini in Workspace) say they do not train on business content by default. Staff must hear why personal accounts are out for work.
11. Does the provider handle your data safely during training? If you share real documents beforehand, ask where they are stored, who sees them, and when they are deleted. Under the UK GDPR (Article 28), a provider processing personal data on your behalf must work under a written contract that sets out what it may do with that data, so ask for one if any real documents change hands. If the answer is "we don't take any of your data", prefer that and give them public material only.

Practice tasks: do people do real work during the day?

12. What share of the day is hands-on? A useful rule of thumb is at least half. Ask for the timetable with minutes against each block.
13. Do the tasks use your documents, with permission? A newsletter your team already sent, a case study you already published, a query you already answered. These make the day relevant, and you can check the results against what you know.

Follow-up: what happens after the day?

14. Is there contact after the session? Two 45-minute calls within six weeks, a channel for questions, or a short task pack. A day with no follow-up is an event, not training.
15. How will you know it worked? Ask what the provider would measure. A good answer uses numbers you can collect yourself, such as drafts produced per week or how often staff report an error caught before publishing.

Scoring two quotes for the translation agency team

Illustratively, the head of marketing received two quotes. Provider A offered a full day for the five of them. Provider B offered a half-day plus two follow-up calls. Using the checklist, with answers drawn from the proposals and a short email each:

Those scores are invented to show the method. In the example the cheaper, shorter option won because its price included what the longer day left out. The head of marketing then asked B for two changes: a client-confidentiality line in the rules sheet, and the practice tasks drawn from past newsletters. Both were agreed in an email, which is why the extra step is worth doing.

Questions to send before you book

Email these rather than asking on a call. Written answers can be compared, and they become part of what you agreed.

Subject: Questions before we confirm AI training for our marketing team

Hello [first name],

Thank you for your proposal. Before we confirm, could you answer these in
writing?

1. Please send the full outline with minutes against each block.
2. Which tools will you teach, and will staff use our own work accounts?
3. What is the one-page data rule you leave with us? May we see a sample?
4. What share of the day is hands-on, and will it use our own published
   material?
5. What happens in the six weeks after the session? Is that included in
   the price?
6. How do you handle any of our documents you receive, and when are they
   deleted?
7. When was the material last updated?

Kind regards,
[your name]

Notice that none of the seven is "do you have experience?". Experience is easy to claim; a sample rules sheet and a timetable are hard to fake.

Red flags that should stop you signing

• Guaranteed productivity gains. No provider can promise "40 per cent faster", because the result depends on your tasks and what staff do afterwards. A promise should become a measure you agree together.
• Training on the trainer's tools only. If your team cannot use the same tools on Monday, the day is a demo.
• No position on data. If asked what staff must never paste, an answer of "it depends" without a rule means staff will guess.
• Prompt libraries as the product. A pack of 500 prompts is easy to buy and hard to use. A team needs ten prompts that are tested on its own work.
• Certificates as the deliverable. A certificate shows attendance. It tells you nothing about whether a writer can now produce an accurate first draft.
• Pressure to book this week. Discounts that expire on Friday are a sales device, not a reason.

What a good practice task looks like

Practice is where the day is won or lost, so here are three tasks for a team like the translation agency's, with what you would watch for in each.

Task one: turn interview notes into a case-study draft

Use notes from a past project with the client name replaced by "[CLIENT]". The prompt asks for 600 words in a stated structure, using only facts in the notes. The check: every number in the draft appears in the notes. An illustrative failure: the draft says "reduced turnaround by 30 per cent" when the notes say "a faster turnaround". That one phrase is the reason a training day must include a checking routine.

Task two: reply to a client query without a leak

Give staff a sample client email containing a name, a project code and a price. They must produce a reply with the AI using placeholders, then restore the real details by hand. The check: no real name or price appears in the chat history. This exercise teaches the placeholder habit better than any slide.

Task three: rewrite one newsletter in three tones

Take a published newsletter and ask for a warmer, a shorter and a more formal version. The team discusses which is closest to the house voice, and why. The check is a decision, not a score: the group writes one line of voice guidance ("we say 'you' not 'the client'") that goes into a shared prompt. For a longer treatment of the writing side, see a first-month AI training plan for a marketing team.

The money side: what to compare in two quotes

I will not quote a going rate for training days, because I have no checked source for one and rates vary widely with the trainer and the group size. What you can compare is the structure of each quote. Put both on one page with these lines:

Count staff time at what an hour of your people really costs you. If five people lose 35 hours and each hour is worth $30, that is $1,050 of time before the provider's fee. Provider B's 22 hours is about $660. Ongoing licences are the cost most buyers forget: teaching a tool you then have to buy, at $20 to $25 a user a month for the business plans of the main chat tools, adds $100 to $125 a month for a team of five. Ask the provider which tool, if any, the team could use for free after the day, and whether the paid plan changes what staff can do.

Contract terms worth asking for in writing

• Rescheduling. Teams get ill and clients call. Ask what notice is needed to move the date without paying again.
• Recording. If the day is recorded, ask who owns the recording and whether staff can see it afterwards. Staff should be told in advance.
• Materials. Ask whether you may keep and reuse the slides and prompts internally. Some providers license them for the day only.
• What happens if the tools change. If a feature the day relied on is retired before delivery, ask what replaces it and whether the price changes.

Illustrative scenario: a team of four booked a session on a tool feature that was withdrawn two weeks before the date. The provider swapped to the nearest equivalent without charge because the booking email said "tools to be confirmed one week before". That wording cost nothing to add, and it avoided an argument.

Reading the total score

Out of 45, my rough reading is: under 25, keep looking; 25 to 34, negotiate the weak areas and get the changes in writing; 35 and above, a good candidate, subject to a call to check the trainer. Treat the data section as a gate, not just part of the score: a provider scoring 3 or below out of 9 there is a poor fit for a team handling client material, however well it scores elsewhere.

When in-house training is the better buy

If your team has one person already confident with the tools, and the budget is small, a plan you run yourself can beat an outsider's day. The cost is the manager's time, roughly two hours of preparation per session, and the risk that it slips when the diary fills. A decent compromise is to buy a single half-day to set the rules and the first prompts, then run follow-up sessions yourselves using the time and cost sums for AI staff training to plan the hours.

After you sign: checks in the first six weeks

1. Week 0. Agree the three outcome sentences in the contract or the confirming email. Ask for the rules sheet in advance, and read it with whoever handles data protection in your firm. If your tools process personal data in new ways, the guide to when a DPIA is needed is worth ten minutes.
2. Day of training. Sit in for the first hour. You will learn what your team learns and can see whether the practice uses real work.
3. Week 1. Ask each person for one real task done with the tool. Not a certificate: an example, with what they changed.
4. Week 3. Run the follow-up call. Bring one failure, such as a draft with an invented figure, and ask the trainer how they would have caught it.
5. Week 6. Repeat your outcome check. Can the writer produce the case-study draft in the time you set? Did the client-comms coordinator keep client text out of the tool? If not, the training has not worked yet; ask what the provider will do about it.

If you want an independent view of a proposal before you spend, that is the kind of thing the AI implementation consultation can cover. The checklist works without it: send the email, score the answers, and let the written replies decide.

Questions to settle before you sign for AI training

Is a half-day session enough for a small marketing team?

Only if it is followed by practice and a check. A half-day gives people vocabulary and a few prompts; skills form when they repeat tasks on their own work in the following weeks. Ask for two short follow-up sessions or a task pack, rather than a longer single day.

Should a UK provider be a requirement?

Not by itself. What you need is a provider who understands UK data-protection rules, advertising claims rules and your sector's tone, and who can say how your data is handled. A provider based elsewhere can pass that test; one based nearby can fail it.

What should AI training for marketers cost?

There is no reliable market rate to quote. Compare the day price against the hours of your people's time plus the licence costs afterwards, and ask what is included beyond the delivery day. A cheap session with no follow-up often costs more than a priced one that sticks.

Do we need to train the whole team?

Start with the people who write, schedule or approve content weekly. Leave out anyone who will not touch the tools within a month, and offer them a short recording instead. Mixed-ability rooms slow everyone down.

Further reads

• Questions to Ask an AI Vendor Before You Sign Anything — General vendor questions that sit alongside this checklist.
• AI Security Risks for Small Businesses and How to Close Them — The security risks your trainer should cover.
• What to Check in an AI Tool's Privacy Policy and Terms — Read the terms behind the tools being taught.
• Who in Your Team Actually Needs a Paid AI Licence? — Decide who gets a seat once training ends.
• How to Evaluate an AI Implementation Proposal or Quote — Judge any AI proposal, including a training quote.
• AI Training Programme for a Company: A Four-Week Staff Rollout Plan — A four-week in-house alternative to buying a day.
• AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.

Sources: ChatGPT Business, Claude, Google Workspace and Microsoft 365 Copilot Business pricing pages (read 4 November 2026); UK GDPR Article 28 on legislation.gov.uk and CAP Code section 3 on the ASA site (read 4 November 2026); public course outlines read for structure, not copied.