AI · TRAINING
Your team has AI tools. Now teach them to use them well
Practical, role-based AI training built on the work your people already do, followed by weeks of support while the new habits settle in.
The skills gap is the real barrier
Most teams already have access to AI. What they lack is confidence: which tasks to give it, how to write a good instruction, how to check the answer, and what must never be pasted in. The numbers back this up. 97% of organisations report at least one AI skills gap (AI Labour Market Survey 2025, GOV.UK), and only 17% of marketers have had full role-specific AI training, while 32% have had none (General Assembly via Marketing Week, Aug 2025).
Generic courses do not close that gap, because a sales manager, an operations coordinator and a managing director need different things. Leaders get a shorter, decision-focused session on what to approve, measure and own. We start with a skills audit by role, then build every workshop on your team’s real tasks: their own emails, reports, briefs and spreadsheets, with anything sensitive replaced by realistic dummy data.
What’s included
Skills audit by role
A short questionnaire and conversations to find what each role does weekly, which tools are in use and where confidence is lowest.
Workshops on real tasks
Each exercise uses a task your team actually performs, such as writing a proposal, summarising a call, cleaning a product list or drafting a campaign brief.
Three formats
A one-day workshop for a fast start, a team programme over several weeks for deeper change, or one-to-one support for a director or specialist.
Prompt and checklist library
A shared, editable set of tested instructions and review checklists for each role, so good practice survives after the trainer leaves.
Responsible use and UK GDPR
Clear rules on personal data, client confidentiality and what not to paste into public tools, written in plain English for your staff handbook.
30–60 days of follow-up
Questions answered by email, short check-in calls and a review of how the team is using AI, so the training turns into daily habit.
AI AT WORK
Where AI does the work
AI DOES
- Analyses the skills audit answers and groups common gaps by role, so we can design sessions around them
- Produces first drafts of exercises and sample outputs from your anonymised material, which the trainer then refines
- Generates practice variations so each participant can try the same technique on several realistic cases
YOUR SPECIALIST DECIDES
- Your trainer decides the curriculum, the order of topics and which tasks are worth automating at all
- Every exercise, prompt and checklist is reviewed by a person before it reaches your team
- Your managers agree the usage rules and decide which tools are approved for which data
How we work
- 01AuditWe run the skills audit by role and agree in a written mandate who is trained, in which format, and what success looks like.
- 02DesignWe collect sample tasks from each team, remove anything sensitive, and build the exercises and prompt library around them.
- 03DeliverWe run the workshop, programme or one-to-one sessions, on site in London or remotely, with plenty of hands-on practice.
- 04SupportFor 30–60 days afterwards we answer questions, hold short check-ins and adjust the prompt library as people find what works.
- 05ReviewWe repeat a shorter version of the audit and send a plain-English report on what has changed and what to train next.
HOW WE MEASURE
How we measure it
We measure training by what people do differently afterwards, not by attendance. The same skills audit is run before and after, and we ask each team to log a handful of tasks with and without AI so the time saved is visible.
- Self-assessed confidence by role, before and after
- Number of tasks each team now completes with AI support
- Time taken on agreed sample tasks, before and after
- Prompt library use and questions raised during follow-up
Is this right for you?
- Your staff have AI tools but use them rarely, inconsistently or not at all
- You want rules on data protection and responsible use that people will actually follow
- Different teams need different skills, and a generic online course has not stuck
- You want measurable change in how the work gets done, with support after the session
An indication, not a quote.
Questions we are asked
Who is AI training for?
We train marketing teams, sales teams, operations and back-office staff, and leadership. Each group gets material built on its own tasks: campaign briefs and reports for marketing, proposals and follow-ups for sales, documents and data clean-up for operations, and decision-making, risk and measurement for leaders. Mixed groups work too, as long as the exercises are split by role.
What formats do you offer?
Three. A one-day workshop gives a team a solid, practical start. A team programme runs over several weeks, with shorter sessions and practice between them, for deeper change. One-to-one support suits a director or specialist who wants focused help on their own work. Every format includes a skills audit beforehand and 30–60 days of follow-up support.
What will our team be able to do afterwards?
They will know which of their tasks AI handles well, how to write clear instructions, how to check and correct the output, and what data must stay out of public tools. They leave with a tested prompt and checklist library for their role, and they will have used it on their own real work, not on textbook examples.
How do you handle data protection during training?
We never ask your team to paste personal data or confidential client information into public AI tools, during training or after it. Exercises use your real tasks with sensitive details replaced by realistic dummy data. We explain the UK GDPR points that matter for everyday AI use and help you write a short usage policy that names approved tools and forbidden data.