These sessions teach a marketing team, or a small business owner, to use AI assistants well in their everyday work: researching, drafting, summarising, analysing and checking. I use your own tasks as the material, we agree sensible house rules about data and accuracy, and finish with a handful of written workflows your team can repeat without me.
This is not the same thing as getting your business mentioned in AI answers. If your question is how ChatGPT or Google’s AI Overviews choose which brands to cite, that is search work, and my AI search optimisation service covers it.
Who these sessions are for
Most of the teams who need this are already using AI in some form. Someone has a ChatGPT login, someone else uses Copilot inside Microsoft 365, and nobody has agreed what is allowed, what is worth doing or who checks the output. The training suits:
- In-house marketing teams who produce content, emails, ads and reports, and want to spend less time on first drafts without lowering quality.
- Owners of small UK businesses who do their own marketing and want to know which jobs AI can genuinely take off their plate.
- Managers who need a written policy on AI use before it spreads further, and want the people affected to help shape it.
It suits you less well if you are looking for a developer to build a custom AI system, connect models to your databases or fine-tune a model on company data. That is software engineering, and I would point you towards a specialist rather than stretch a training engagement to cover it.
What the sessions cover
The content changes with the team, but most engagements draw on the same five areas.
How the tools work, in plain terms
A large language model predicts plausible text; it does not look facts up unless the tool has been given a search or document feature. That one point explains most of the mistakes teams make, including confident answers that are simply wrong. We look at what each tool you pay for can and cannot see, and why the same question gives different answers on different days.
Writing instructions that get usable output
Good results come from briefing the tool the way you would brief a capable freelancer: the audience, the purpose, the material to work from, the format and what to avoid. We practise prompt writing on your real jobs, such as turning meeting notes into a client update, or a product sheet into three ad variations, and compare the results side by side.
Checking before anything goes public
AI tools invent statistics, sources, quotations and product details. This is known as hallucination, and it is the single biggest risk for a marketing team. We build a short checking routine for each type of output: facts against a primary source, claims against what the business can prove, and copy against your tone of voice. In the UK, advertising made with AI is still covered by the CAP Code, so a misleading claim is your problem, not the tool’s.
Data protection and house rules
Under UK GDPR, pasting customer names, emails or case notes into a consumer AI tool can be a disclosure of personal data to a third party. Business versions of the main assistants often handle data differently from free accounts, so we check the settings and terms of the tools you actually use, then agree a simple rule set: what may go in, what never goes in, and who to ask when unsure. I am not a lawyer, and anything beyond everyday marketing use should go to your data protection lead or legal adviser.
Repeatable workflows for marketing tasks
The most useful output of the sessions is a set of written workflows for the jobs your team does every week. Typical examples include drafting a content brief from keyword notes, summarising campaign data before a monthly report, first drafts of email newsletters, and reworking long articles into social posts. Each workflow names the tool, the instruction, the material to supply and the check a person makes before anything is published.
How I run the training
- A short call. We talk about what the team does now, which AI tools the business pays for, and what worries you about AI use. If training is not the right answer, I will say so.
- A look at real work. I ask for a few examples of the tasks that take the team most time: a typical brief, a report, a batch of emails. These become the exercises.
- Hands-on sessions. Everyone works in the tools on their own tasks while I explain why one instruction works better than another. We compare outputs, find the errors and fix them together.
- House rules agreed in the room. While the whole team is present, we write down what may and may not be shared with AI tools and who reviews AI-assisted work before it goes out.
- Your own record. The workflows, the instructions that worked and the house rules are written down in a document your team can keep updating. What I supply after the sessions is agreed before work starts.
Problems I see most often
- Publishing first drafts. AI text that goes live unedited tends to sound like everyone else’s and often contains something untrue. My article on using AI for marketing without hurting SEO explains why this matters for search as well as for trust.
- No agreed rules on data. One person is careful, another pastes in a spreadsheet of customer details, and nobody knows which happened.
- Using it for the wrong jobs. AI is weak at original research, at knowing what your customers actually ask, and at anything that depends on facts it has not been given. It is strong at restructuring, summarising and producing variations of material you supply.
- No review step. Speed gains disappear when a mistake reaches a client. A named person checking AI-assisted work, a human in the loop, costs minutes and saves the awkward correction email.
What you will be able to do afterwards
By the end, your team should be able to brief an AI tool clearly, spot output that needs checking, keep personal data out of tools that should not hold it, and run a small library of tested workflows for routine marketing work. You will also have a written policy that new starters can read on their first day.
What the training will not do is replace judgement about strategy, audience or brand. If the bigger question is which channels deserve your budget, a written digital marketing strategy is the better starting point, and if the aim is better content for search, my content SEO service sets the plan that AI-assisted drafting would then follow.
Format and fees
The format, the length of each session and the number of sessions are agreed with you before work starts. Each quote is written in GBP after a free first call and agreed in writing.
Sessions are planned around the attending team’s own work, so there is no fixed syllabus. Groups work best when small enough for everyone to use the tools during the session, so we agree numbers when we plan.
Next step
Tell me who would attend, which AI tools your business already uses and the three tasks you would most like help with. I will reply with a suggested plan, or tell you plainly if training is not the best use of your budget. You can reach me through the contact page, by email at contact@sudeshnathapa.com or on +44 7352129369.