Martin Broadhurst presenting on AI at a conference, a large brain visualisation on the screen behind him

AI Training · Claude

Claude training for your team

Claude is the AI my own business runs on — this website, Archivers.ai and PlanningConstraints.com were all built with it. I train teams on Claude, Cowork and Claude Code, from first prompt to agentic delivery.

In plain terms: a day that takes your team from “we have Claude and nobody uses it” to people delegating real work to it — with the governance conversation handled, not dodged.

Curriculum

Eight modules, built on a competency spine

A full day covers all eight. A half-day executive briefing takes modules 1, 6 and 8 at leadership altitude. Every module is worked through on your material, not a generic dataset.

My sessions are built on a four-competency spine rather than a walk through a product's feature list — because prompting is only about a quarter of the skill, and feature tours do not survive contact with a Monday morning.

  1. Delegation Knowing which work to hand over, and which to keep.
  2. Description Asking for it in a way that gets the right thing back.
  3. Discernment Judging what comes back, including when it is confidently wrong.
  4. Diligence Using it responsibly — sources, disclosure, data and accountability.

Those four competencies will be familiar if you have read the open AI Fluency framework published by Anthropic with Prof. Rick Dakan and Prof. Joseph Feller — I reference it because it is good, public research and it matches what I see in the room. The curriculum, exercises and materials on the day are my own, and the spine is deliberately vendor-neutral: I teach the CIM's Level 6 AI module, and what changes between my four platform days is the tooling underneath, not the teaching.

  1. Delegation — what to hand over, and what to keep

    The judgement that decides whether any of this pays off. Which of your team's work Claude should touch, which it should never touch, and how to tell the difference before you have wasted a fortnight finding out.

  2. Delegation — where Claude fits against what you already own

    An honest comparison with Copilot, ChatGPT and Gemini. If your work lives in Outlook and Teams I will say so. We settle "which tool for which job" early so the rest of the day is concrete.

  3. Description — asking so you get the right thing back

    Structure, context, constraints and iteration. The gap between a demo prompt and one that survives a Monday morning with a real deadline and a messy source document. Built into a prompt library your team keeps.

  4. Description at team scale — Projects and shared knowledge

    Persistent workspaces carrying their own files, instructions and memory, so Claude starts from how your organisation actually works rather than from nothing. Most teams' first real productivity jump, and the feature most teams never open.

  5. Discernment — judging what comes back

    Long documents, analysis and reasoning: contracts, tender packs, board papers, spreadsheets. Getting a defensible answer out of 200 pages, checking the working, and recognising the confident wrong answer before it reaches a client.

  6. Delegating whole tasks — Cowork

    Describe the outcome; Claude plans the work, works across your files and delivers. GA since April 2026, and the biggest change in how teams use AI since Projects. This is Delegation and Discernment applied together, at a bigger unit of work.

  7. Claude Code and MCP — the part that is not a glimpse

    Claude Code is included with every Team and Enterprise seat and is not just for developers — analysts and ops people use it across folders of files and to build small internal tools. MCP connects Claude to your CRM, inbox and analytics with per-connector permissions. A working setup, not a slide.

  8. Diligence — governance, data and safe rollout

    Role-based access, spend limits, usage analytics, data handling on paid plans, disclosure norms, and an AI-use policy your legal and IT people will sign rather than argue with.

The day itself

How a training day runs

A typical on-site workshop day. It flexes around your team — but this is the shape, so you know what you are buying.

  • 09:30 Where Claude fits, and an honest comparison with the tools you already pay for.
  • 10:15 Prompting workshop — everyone working on their own real task, not a toy example.
  • 11:15 Projects: building a shared team workspace live, with your files and your house style.
  • 12:30 Lunch.
  • 13:15 Long-document and analysis clinic using your own sanitised material.
  • 14:15 Cowork and Claude Code — delegating a whole task end to end and watching it land.
  • 15:15 Connectors, MCP and governance: what to switch on, what to lock down.
  • 15:45 Everyone leaves with three committed use cases and a 30-day plan. Close at 16:00.

Formats & pricing

However your team learns best

Real numbers, not “contact us for a quote”. Prices are per session, exclusive of VAT, and cover a normal-sized team — the instant quote gives you your exact figure in about a minute.

From £1,250

Executive briefing

A half-day literacy session for leadership: capabilities, risks, and where to move first. Built for people who have to make the call, not operate the tool.

From £2,500

Team workshop day

Morning fundamentals, afternoon hands-on with your real work — your documents, your processes, your sanitised data. People leave using it.

Monthly retainer

Embedded support

Adoption help, agent building and office hours after the training lands. The part that turns a good day into a changed habit.

Proof

Delivered, not theorised

Two of the AI training engagements behind this. Both were teams who thought they already understood the tools.

Student Accommodation

Student Roost

A full generative-AI training day: literacy in the morning, team workshops on a live brief in the afternoon.

Sceptics to daily users

Read the case study

Lighting Manufacturer

Luceco

Executive AI literacy for the SLT, then hands-on training for HR — presentations, data analysis and live agent demos.

Leadership teams, AI-ready

Read the case study

Most Claude trainers have read the documentation. I have shipped products with it — Archivers.ai, PlanningConstraints.com and this website — and I run my own business through it every day.

Questions

The things people ask before booking

How is this different from the free courses on Anthropic Academy?

It rhymes with them on purpose. My four-competency spine — delegation, description, discernment, diligence — references the open AI Fluency framework Anthropic published with Prof. Rick Dakan and Prof. Joseph Feller, and I will happily point your team at Anthropic Academy for the self-paced material because it is genuinely good. The curriculum and exercises on the day are mine. What a free course cannot do is run on your documents, in your room, with your team's actual objections in the air, and refuse to move on until it lands — self-paced completion rates are famously low and adoption rarely follows. That gap is the whole job.

We already have Microsoft 365 Copilot. Why would we look at Claude?

Often you should not — if your work lives in Outlook, Teams and SharePoint, Copilot is the better first move and I will tell you so. Claude earns its place for long-document reasoning, drafting quality, and agentic work through Cowork and Claude Code. Plenty of organisations run both deliberately. I train on all four major platforms and have no reseller relationship with any of them, so the recommendation is honest.

Is our data safe?

On Claude Team and Enterprise plans your conversations are not used to train the models, and Enterprise adds SSO, audit logging and data-retention controls. The real risk in practice is not the vendor, it is your own people pasting the wrong thing into the wrong tool. That is a policy and habit problem, and we cover it on the day.

What is MCP, and do we need it?

MCP is the open standard that lets Claude talk to your other systems — CRM, file storage, analytics, ticketing — with permissions you control per connector. Most teams do not need it on day one. Teams that want AI doing real work rather than answering questions need it by about month three, which is why it is on the curriculum rather than in a footnote.

Do you actually use Claude yourself, or just teach it?

Both, and the building came first. Archivers.ai and PlanningConstraints.com are live products built Claude-first, this website was built with Claude Code, and my own commercial operation — CRM work, reporting, research — runs through Claude with MCP connectors into the systems I use daily. When someone asks what breaks at scale, I am answering from last week, not from the documentation.

How many people can attend?

A workshop day works best at 8–14 people; beyond that hands-on time suffers and it becomes a lecture. Executive briefings work at any size because the format is different. If you need to cover more people, the sensible pattern is one briefing for leadership plus repeated workshop days by department.

Where do you deliver, and do you travel?

On-site anywhere in the UK — I am based in Derby, so the Midlands and the North are easy days, and London, the South and Scotland are all regular. Remote delivery works well for briefings and follow-up sessions; for a hands-on workshop day, in the room is materially better.

What happens after the training day?

Everyone leaves with three committed use cases and a 30-day plan, and you get the prompt and project templates we built on the day. Most clients then take a block of embedded support — office hours, agent building and adoption chasing — because the gap between a good day and changed behaviour is follow-up, not enthusiasm.

Can we use apprenticeship levy or public funding for this?

No — I am not a levy provider or a registered training body, and I would rather say so plainly than send you round the houses. If funded training is the priority, an apprenticeship route through a registered provider is a genuinely good option and will cost you less. What I do is a different purchase: one senior specialist, on site, changing how your team works within a day or two, invoiced as a normal consultancy engagement. People come to me when they need the capability this quarter rather than next year.

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