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AI training for business
AI training for business, with people who know when to step in
Practical, role-based AI training for business teams across the UK, so your people use AI for the volume, check what it produces and escalate what it should not decide.
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AI handles0
A person decides0
UK firms (10+ staff) using AI0%Up from around 12% in late 2023.
Source: Office for National Statistics ↗Firms where over half of staff have had AI training0%UK businesses with 10 or more employees, June 2026.
Source: Office for National Statistics ↗Where the line sits
AI training for business, not gig work
Search for “AI training” and much of what comes back is paid work labelling data for AI models.
This page is about the other side of that market: AI training for business, for employers who want their own teams to use AI well.
We are an AI training company for businesses, and every programme we run is built around human-in-the-loop habits.
Alongside the tools, your people learn three things: how to check an output, when to escalate, and what never to paste in.
We tailor each programme to your roles, your data and the tasks your teams actually do each week.
What we train people to hand to AI
- First drafts of routine emails, letters and reports
- Summaries of long documents and meeting notes
- Sorting, tagging and tidying records
- Research starting points and side-by-side comparisons
- Reformatting data between documents and systems
What we train people to keep
- Anything sent to a client or regulator without review
- Decisions with legal or similarly significant effect
- Judgement calls on complaints and vulnerable customers
- Choosing what data a tool is allowed to see
- Final sign-off on figures, advice and contracts
Programmes
Corporate AI training for three kinds of people
Most organisations need three different programmes, not one generic course.
Leaders need to set direction, own the risk and ask better questions of vendors, which is what our AI training for executives covers.
The whole workforce needs practical AI literacy: using approved tools on real tasks and checking what comes back.
Governance, risk, data protection and operations leads need to design the controls, so our AI governance course goes deeper on frameworks and oversight.
Every programme uses your own examples, so people practise on the work they will do next week.
- Leaders: strategy, accountability and vendor questions
- Whole workforce: literacy, prompting, checking and escalation
- Governance and ops: policy, risk and human oversight design
- Delivered in-house, in person or remotely
85%
AI acts alone
130
65% of 200 tasks
Goes to a person
70
35% of 200 tasks
Illustrative batch with a typical confidence spread. Your real split comes from a pilot on your own work. Some decisions go to a person whatever the score.
Human in the loop
AI training for employees that builds the right habits
Tool features change every few months, but good habits last.
We teach staff to treat every AI output as a draft until a person has checked it.
We teach a simple escalation rule: if an output affects someone’s money, rights, health or legal position, a named person decides.
We teach what never to paste in, such as personal data, client-confidential material and passwords, using the ICO’s guidance on AI and data protection as the reference point.
The ICO says human review cannot be a token gesture and should be done by someone with the authority to change the decision.
So our exercises ask people to find the error and challenge the answer, not just approve it.
AI drafts
Check
Person decides
Learns
01 / 04
Why now
Most teams are using AI before anyone has trained them
The ONS reports that around 35% of UK businesses with 10 or more staff now use at least one AI technology.
The same ONS analysis found only 11% of those businesses had given AI-related training to more than half their workforce.
That gap is where mistakes, data leaks and wasted licences come from.
Skills England’s PRIMES principles say effective AI training should be practical, reachable, integrated, modular, expandable and sustainable.
We design our AI training for business to the same idea: short, role-based sessions tied to real workflows, refreshed as your tools change.
If you want a hands-on starting point for one team, our AI workshops are a good first step.
The ONS reports that around 35% of UK businesses with 10 or more staff now use at least one AI technology.
How it works
Four steps, one owner
Each system ships with a named person accountable for what it does.
01
01
Map roles and tools
We find out who uses which AI tools, for what tasks, and where the data and decision risks sit.
02
02
Design by role
We build separate tracks for leaders, the wider workforce and governance teams, using your own examples.
03
03
Deliver and practise
Sessions run in person or remotely, with hands-on exercises on checking outputs and escalating edge cases.
04
04
Embed and refresh
We leave you with a short record of who was trained on what, plus refreshers as tools and rules change.
Questions
Asked and answered
Further reading
From the source
Office for National StatisticsArtificial intelligence in UK businesses: 2023 to 2026 ↗How many UK firms use AI, by size.Information Commissioner’s OfficeGuidance on AI and data protection ↗Information Commissioner’s OfficeHow do we ensure individual rights in our AI systems? ↗Why a rubber-stamp review is not meaningful human oversight.Skills England, GOV.UK, 10 June 2026New tools will help employers maximise AI productivity gains ↗The PRIMES principles and a free employer AI adoption checklist.European Commission AI Act Service DeskEU AI Act, Article 4: AI literacy ↗Providers and deployers must take measures to support staff AI literacy (as amended July 2026).
Keep reading
Related pages
TrainingAI training for executives →AI training for executives, because accountability does not delegateTrainingAI literacy training →AI literacy training for everyone who touches AI at workTrainingAI workshops →An AI workshop that ends with a plan, not a demoGovernanceAI policy template →An AI policy template your team will actually follow
Next step
Tell us the work. We’ll show you where the line goes.
A 30-minute call. We map one workflow, what the AI could take, and where a person must stay in the loop.