AI Services
AI Training for Teams
Your team is already using these tools. The question is whether they are using them well and whether anyone has told them the rules.
AI training teaches your staff to use these tools well and safely, on your own work rather than generic examples. The Nexclick covers what they are good at, what they get confidently wrong, and what must never be pasted into a consumer chatbot.
Is this you?
What usually prompts the call
- Staff are using AI tools and nobody has written a policy or given any guidance.
- Output quality varies enormously depending on who produced it.
- Someone has pasted client information into a consumer chatbot, or probably has.
- You have paid for AI licences and usage is low because nobody knows what to do with them.
What we do
The actual deliverables
Things that appear on an invoice, not adjectives.
- Teach on your own work
- Real tasks from your business rather than generic examples. Training that uses somebody else’s use case gets nodded at and not applied.
- What these tools are actually good at
- Drafting, summarising, restructuring, comparing, explaining. And what they are poor at — recalling facts, arithmetic, anything requiring accountability.
- How to prompt properly
- Context, role, constraints, examples and format. The difference between a mediocre and a genuinely useful output is usually the instruction rather than the model.
- Recognising confident wrongness
- How to spot invented facts, fabricated citations and plausible arithmetic errors. The most important half hour of any session.
- The data rules
- What may be put into which tool. Consumer tiers and enterprise tiers have different terms, and most staff do not know there is a difference.
- Sector-specific constraints
- What regulated professions can and cannot do — legal, financial, clinical, and anything involving client confidentiality.
- A written reference afterwards
- A short guide and the session recorded, so new starters get the same grounding without booking another session.
Checklist
What your team should never put into a consumer AI tool
Most organisations have staff using consumer AI tools with no guidance at all. This is the minimum list — print it, circulate it, and it costs nothing. Enterprise tiers change some of these; consumer tiers generally do not.
- 01Client or customer names alongside anything confidential.
- 02Personal data — addresses, dates of birth, national insurance numbers, health information.
- 03Anything covered by a confidentiality agreement.
- 04Contracts or commercial terms with a named counterparty.
- 05Financial records, management accounts or payroll data.
- 06Passwords, API keys, tokens or credentials of any kind.
- 07Source code from a client project or anything proprietary.
- 08Internal documents marked confidential or restricted.
- 09Unpublished financial results or anything price-sensitive.
- 10HR information about a named individual.
- 11Legal advice received, or anything privileged.
- 12Patient, clinical or safeguarding information, in any form.
- 13Anything you would not email to a stranger.
- 14Anything a client has explicitly asked you not to share.
How it works
Step by step, with timeframes
Timeframes are typical rather than guaranteed, and they assume we get account access and approvals when we ask.
- 01Week 1
Understand the work
What the team actually does, and which tasks are genuine candidates. Determines the examples, which is what makes the session land.
- 02Week 1–2
Build the session
Content pitched at their actual level, using your tasks, with hands-on exercises rather than slides.
- 03Half or full day
Deliver
In person or remote, recorded, with time for people to try things on real work during the session.
- 04Two weeks after
Follow up
A shorter session covering what people tried, what worked and what did not. This is where the habits actually form.
What you get
Reporting and ownership
- A session built around your own tasks, not generic examples.
- The session recorded, so new starters get the same grounding without rebooking.
- A short written reference sheet people will actually keep.
- Practical guidance on what may and may not go into which tool.
- A follow-up session two weeks later, where the habits actually form.
Tools and platforms
- ChatGPT, Claude and Copilot
- Your own documents and tasks as examples
- Prompt patterns and reference sheets
- Recorded sessions
- Written acceptable use guidance
Timeline
How long this actually takes
Half a day covers fundamentals for a general team. A full day covers a specific function — marketing, support, operations — in depth. Booked and delivered within a fortnight. The follow-up matters more than it sounds: people leave the first session enthusiastic, try things for a week, and either build a habit or drift. The second session is where that gets decided, which is why it is included rather than offered as an extra.
Pricing model
Day rate
Day rate, including the follow-up session and written materials. Priced per session rather than per attendee.
Questions
AI Training for Teams questions
Our team already uses these tools. Is training still worth it?
Usually more so. Self-taught usage tends to be shallow — people use them as a search engine and stop there. Training raises the ceiling on what they attempt and, more importantly, covers the data rules nobody has told them, which most organisations have never addressed.
What is the single most important thing you teach?
How to recognise confident wrongness. These tools state invented facts, fabricated citations and incorrect arithmetic with complete assurance. Half an hour on spotting that is worth more than a day on prompting technique, because it is what prevents an error reaching a client.
Should we be worried about staff using ChatGPT?
About unguided use with client data, yes — it is one of the more realistic exposures most organisations carry, and it is happening whether or not anyone has approved it. The answer is guidance and a policy rather than a ban, which people work around.
How technical is the session?
Not technical at all. It is pitched at whoever is in the room and taught through hands-on exercises on real work. No coding, no theory. The measure of success is whether people use it differently on Monday.
Can you train a specific department?
Yes, and it works considerably better than a general session. Marketing, support, operations and finance use these tools differently, and a focused day on one function’s actual tasks produces more change than a broad session across all of them.
Why is the follow-up session included?
Because habits form in the second week, not the first. People leave enthusiastic, try things, and either build a routine or drift back. A short session covering what worked and what did not is where the training converts into practice.
Last reviewed 28 July 2026.
Tell us what you are trying to fix
A 20-minute call, no pitch deck. The Nexclick will tell you what we would do, roughly what it costs, and whether we are the right people for it.