Claude & AI Training for UK Teams

The problem we solve

Your team is probably using AI already. Few have been shown how to use it on their own work.

If any of these sound familiar, a training day is the right place to start.

Licences sit unused

The business pays for seats. A few people use them well. Most use Claude like a search engine and get search engine answers back.

Generic courses teach features

A slide on what the buttons do rarely changes what someone does on Thursday afternoon. The skill has to be built on the job they actually do.

People fear getting it wrong

They worry about a confident wrong answer, or about pasting something that should never leave the building. So they use it quietly, or not at all.

Leaders ask others to go first

When directors do not use the tools themselves, teams notice and wait. Adoption follows what leaders do.

78%

of AI users bring their own AI tools to work. At small and medium-sized companies it is 80%.

39%

of people who use AI at work have had AI training from their company.

52%

of people who use AI at work are reluctant to admit using it for their most important tasks.

60%

of leaders worry their organisation's leadership lacks a plan and vision to implement AI.

Source: Microsoft and LinkedIn, 2024 Work Trend Index, "AI at work is here. Now comes the hard part". Global survey of knowledge workers.

Read together, those numbers describe one gap. People are already using AI, mostly untrained and often in secret. Training that closes the gap has to do three things: teach the job, draw the data line, and bring the leaders in.

How it works

One day on your own work, a list for Monday, and a return visit at day 30.

The day is the middle of the engagement. The call before it and the visit after it are what make it hold.

What happens on the day

What Claude is, and where it is the wrong tool for the job
The 3-5-4 Method: pick your first pilot in thirty minutes
Spotting the confident wrong answer before it goes anywhere
Your team builds on its own tasks while we walk the room
Your red lines, written down before anyone leaves

Why the Monday list matters

A day of training builds intent. Habits form in the first week back, when the normal workload returns. Three specific changes per person, written down and kept by the business, turn the day into something you can check at day 30.

The hour-by-hour timetable is on the Claude training page.

Pick your format

Choose the day by who is in the room.

Every format runs on your real work. The difference is group size and what the group needs to decide.

Details: Claude training · Claude team training · Leadership day · Formats compared. A business of one or two people? Claude Built in a Day is our Claude plugin plus a 2-hour one-to-one session with Chris. Already on Microsoft 365? See the Copilot day.

How we remove fear and risk

Training happens inside your governance boundary.

People relax when they know the rules. So the rules come first, and the training runs inside them.

Data agreement before the day

You send one dataset under a one-page agreement covering retention, scope and deletion in plain English. We use it to build one worked example. We do not keep it afterwards and it never trains a model.

Training and governance, side by side

Your team learns Claude while the rules are drawn around it. Shadow AI comes inside a boundary instead of being banned. Red lines are agreed in the room at 16:00.

Rules Claude enforces for you

With AI governance in place, the policy is built into Claude as an enforcement layer, so safe use does not depend on memory.

We follow the DSIT AI Risk Management Toolkit, published in September 2026. Download it free (PDF). Our governance aligns to UK GDPR and ISO 42001, and Ignite AI Solutions is a member of Anthropic's Claude Partner Network.

Go deeper

More on how we train.

The six things we teach in one day

How to make AI safe
Removing the barriers to adoption
What Claude actually is
Where Claude does more, and where your existing tools are enough
Claude skills, plugins and workflows
The compound effect, and why it matters

Which training page fits your team

Claude Training. One team or the whole organisation, remote or onsite. The six-module method run on your real work, with workflows your team uses Monday morning. See Claude Training.

Claude Team Training. Setup and training on real jobs. Claude set up on the machines your team uses, with the data boundary drawn before it touches a file. See Claude Team Training.

Microsoft 365 Copilot Training. For one team of up to 10 who already hold Copilot licences. A prompt library written against your own tasks, and an honest map of where it earns its licence. See the Copilot day.

Leadership and AI Strategy. Directors, boards and senior leadership. The Combat Estimate applied to business decisions, working through difficult decisions under uncertainty, data paralysis and the growth planning that follows. See the Leadership day.

What you leave with

Real workflows. Built on your actual work, ready to use the next morning.
An adoption plan. How the team keeps using it once the room empties.
A method that compounds. The thinking that makes every future task faster.
Safe, governed use. Guardrails your people understand and your data respects.

How to choose an AI training partner in the UK

Five questions worth asking any provider, us included.

Do they train on your work, or generic slides? Generic doesn't transfer.
Do they teach the data line too? Safe use has to be a habit, taught in the room.
Is a practitioner delivering it, someone who uses Claude on live work daily?
Does anything survive the session: saved workflows, a follow-up visit, a habit?
Do they know Claude specifically, or only the tool everyone's heard of?

Upskilling, enablement, coaching and the tools themselves

Training is the word people search for. What they usually need is a mix of three things, and it helps to be clear which one you are buying.

AI upskilling

Building a capability your team did not have. This is the slowest of the three and the one that compounds, because it changes what people are able to attempt rather than what they know about a product. Measured properly it shows up months later as work nobody asks you to do any more.

AI enablement

Removing what stands between a team and using what they already have. Frequently the blocker is not skill at all: it is that nobody has said which tasks are permitted, or the licence sits with one person, or the approved tool does not do the job people actually need doing. Enablement work is often unglamorous and frequently the highest return of the three.

Coaching and ongoing support

One-to-one and small-group work with the people carrying the change. A training day builds intent; coaching is what survives contact with a normal week. It is also where the honest feedback surfaces about what is not working, which rarely comes out in a room of twenty.

Claude training

Hands-on work with Claude on your own documents and processes rather than sample exercises. Built against Anthropic's published Claude Certified Associate blueprint where certification matters to you. Claude training for UK teams →

Claude team training

Giving Claude a job is different from chatting with it, and teams that treat it like a chat window get very little from it. Set up against a folder on your machine, Claude carries tasks out rather than suggesting them, which changes both what you ask for and how you check the result. We train on it because we run our own business on it. See the Claude team training day.

Claude Code training

For developers, and for the operations people who have quietly become developers. Claude Code is Anthropic's agentic coding tool, and the same habits that make it productive, scoping the task, reviewing the diff, keeping the loop tight, are the habits that keep it safe.

AI agents: what your team needs to understand

Once a tool can take actions rather than produce text, the skill your team needs shifts from writing prompts to setting boundaries and checking work. That is a different lesson and most AI training does not cover it yet.

Process mapping workshops

Half a day spent writing down how the work actually happens, which is the prerequisite for automating any of it and useful whether or not you ever do.

Free tools: the 3-5-4 Method and the AI Manifesto

The 3-5-4 Method. Find your first high-value AI use case in 45 minutes. The exact method we run in the room (3 questions, 5 signals, 4 steps) as a guided, interactive tool. Score any task against the signals that predict AI wins, and leave with a use case you can start on Monday morning. Open the 3-5-4 Method. Enter your email inside the tool to open it.

The Free AI Manifesto. Get everyone on the same page in 30 minutes. A one-page agreement that stops shadow AI before it spreads and gives your team clear boundaries to work inside: vision, permitted and prohibited uses, data boundaries, a human-oversight matrix and a signature page. Open the AI Manifesto.

After the day: making it permanent

A training day shows your team what is possible. Claude for Teams, our governed AI operating system, is what holds the gains in place: Claude built around how your business works, then weekly sprints, cadence meetings, ongoing training and ROI measured every month. When you are ready, we build from there. See Claude for Teams.

FAQ

Common questions

No. Training is priced flat by the day, not per head. Bring the whole team. The more people in the room, the better the value.

The Team Day is one team, up to 10, hands-on on your work. The Corporate Day is a larger group up to 20, with a tailored pre-day scoping call and a post-day adoption plan so it embeds across the organisation.

No. You leave with workflows, an adoption plan and a method that compounds. Where certification matters to you, the Claude training day is aligned to Anthropic's published Claude Certified Associate blueprint.

Yes. Claude Built in a Day gives you the IgniteAI Claude plugin set up on your machine and a 2-hour one-to-one session with Chris, with the pre-work interviews included. The price is on our pricing page.

Both. We run sessions on-site for UK teams and remotely for distributed groups.

Always. The data line is taught as a habit inside the training, and your red lines are written down before anyone leaves the room.