Hands-on Claude training for teams that live in long documents and care about the quality of what they write.
10,000+ people trained across 500+ organisations
Our Mastering Claude Programme is a hands-on, bespoke half-day workshop that gives your team the knowledge, confidence and skills to use AI well in their day-to-day roles. It runs on Claude and is tailored to your team’s real tasks and data, so people leave ready to apply what they’ve learned immediately.
Claude has become the assistant of choice for teams whose work depends on careful reading, careful writing and long, dense source material. We build every session around the reports you read, the papers you write and the decisions that hang on getting the detail right.
What people said after the class
98%
said the class will help them get more value from Claude at work
99%
enjoyed the class
88%
would recommend it to a colleague
5.4 hrs
average time each person expects to save every week
Post-class surveys from 411 attendees across 52 Claude classes.
…both instructors were clearly very knowledgeable and prepared and I came away from it with some genuinely actionable skills
Best training I’ve done in a while. Very practical. Well done
I was an AI newbie and I understood what was going on the whole time…
Every session is built from scratch around your work, but every session builds the same foundations.
The AI trends shaping your industry and role, and where Claude earns its place in careful, detailed work built on long source material.
How large language models work, so people know when the output can be relied on and when it needs checking against the source.
Setting Preferences and using project-scoped Memory so Claude works the way your team does, with Incognito Chats for the matters that should leave no trace.
Prompt engineering aimed at real business problems, worked through your long, dense documents, and turning on Adaptive Thinking, formerly Extended Thinking, when a problem needs Claude to reason slowly.
Analysing data, market trends and news with Research Mode, and working through numbers with the Excel plugin, from a first read to a structured output you can use.
Building Artifacts, setting up Projects that hold the context behind ongoing work, designing visual work with Claude Design, and connecting your own tools through MCP connectors.
Turning your team’s voice into a tone-of-voice Skill anyone can call up, packaging repeatable work into Skills, and using Cowork to turn a finished piece of analysis into a deck in your own PowerPoint template.
Running the same task on Sonnet, Opus and Fable side by side, so you can see for yourself how to match speed, depth and cost to the task in front of you.
Using Claude safely and ethically, covering bias, privacy and what the EU AI Act means for your team.
The capstone
Everyone finishes the session by packaging their work into a reusable Skill or a piece of Claude Design, so people leave with something their whole team can use, not just notes.
We can usually map your highest-impact use cases in a single conversation.
Get in TouchWe work each one through your team’s real tasks, so people leave with repeatable ways of working rather than tricks they saw once.
Have it draw out the detail it needs before it answers, then saves what it learns about you as a memory for next time.
Anchoring the model in your own source material to cut hallucination, by working inside a Project that searches your connected sources before the web.
Turning the model into a reviewer that argues the other side in a fork of the chat, so your original work stays clean for the next step.
Building a tone-of-voice guide from your real writing and saving the result as a Skill anyone on the team can call up with a slash.
Having it critique its own draft and then rewrite it in the same chat, so quality climbs without you doing the editing.
Asking the same question of two documents three times using parallel Cowork sub-agents, so each run is genuinely independent.
Making the model plan what the analysis should show first, then letting it run the analysis and build a dashboard from your data.
Convening a panel of personas to debate a decision in a new chat, with each persona given a believable background and position.
Our workshops are hands-on. People do not just learn features, they leave with working tools they have built around their own tasks. Here is a selection of what teams have built with us.
Answers questions grounded in policy publications and stakeholder materials, cites its sources and flags uncertainty.
Gives natural-language answers grounded in the firm’s own compliance manual.
Simulates a staff member raising a compliance query so officers can rehearse their guidance, a pattern that recurred across three workshops.
Runs automated searches for regulatory and sanctions developments and delivers them as a structured digest.
Drawn from our anonymised client use case library.
Three signals showing how fast teams and enterprises are standardising on Claude. Each links to its primary source.
$65bn
Anthropic’s annualised revenue run-rate at the end of July 2026, up from $9bn at the end of 2025
TechCrunchEvery programme follows the same eight steps, from a pre-workshop survey through to optional ongoing support, so the session is tailored to your team and you can see what it delivered.
01
Every attendee completes a short pre-workshop survey on how they use AI now and where they want to, so we start from real behaviour rather than assumptions.
02
A one-hour call where we present the survey results and tailor the workshop material to your team’s tasks and priorities.
03
We spend half a day building exercises around your real workflows, so the practice on the day maps to the work your team actually does.
04
The half-day hands-on workshop itself, delivered in person at your offices by default, or remotely if that suits your team better.
05
A follow-up survey to measure confidence, adoption and the time your team is saving after the training.
06
A report showing the use cases your team developed, the time saved, the ROI and how confidence levels shifted.
07
A follow-up call to go through the results together and agree the next steps.
08
An optional resurvey at three or six months to check adoption is sticking and see what support you need next.
Delivered in person at your offices, or remotely.
Case study: Spotless Brands
Spotless Brands, a car wash operator with more than 220 locations across 13 US states, brought its cross-functional AI team together for a one-day Mastering Claude workshop at its headquarters near Chicago.
“This session had everything you need to get started using AI in an impactful way. We had a range of different people in the room and they all left with a number of new ideas and techniques.”
Daniel Wardle
Founder, Rampart
Going further
For teams who already use Claude every day, our advanced session moves on to Cowork and Claude Code: handing over multi-step work, checking it with sub-agents and building Skills the whole team can rely on.
Teams whose output is judged on the quality of their analysis and their writing.
Consultants, lawyers, economists and advisers who work with dense source material every day.
Leaders who want consistent, high-standard AI use across a team, not just pockets of it.
Anyone who has used Claude for quick tasks and wants to go much further.
Other courses teams pair with this one.
Every Claude session is led by one of our instructors, with a dedicated tutor in the room so nobody gets left behind.
Founder + Chief AI Officer
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Claude is particularly strong with long documents and careful writing, which is why many of the teams we work with have adopted it. We tailor the session to the version and plan your firm actually uses.
Yes. Setting up Projects so Claude holds the context behind a piece of ongoing work is one of the most useful things we cover, and we build examples around your real work.
Yes. We cover Artifacts and Claude Design for building things you can see and use, Skills for capturing your team’s voice and packaging repeatable work, and Cowork for turning finished analysis into documents and decks. Everyone finishes the session by turning what they built into a reusable Skill or a piece of Claude Design.
It depends on what your organisation has licensed and the work involved, and many teams use both. Claude is especially strong on long documents and careful writing. We train on whichever you have, and can run sessions that cover both.
Yes, and it is one of the most common reasons teams come to us. We build the session around the work people do every day, so they leave with tasks they can hand to Claude the next morning, and our impact survey shows you how usage changes.
Yes. Sessions work for people who have barely opened Claude as well as regular users, and the tutor in the room gives extra help to anyone who needs it.
No. The core course is for knowledge workers and needs no coding. Teams who want to build their own tools can go on to our Claude Code for Non-Developers course.
In person at your offices by default, with an instructor and a dedicated tutor in the room. We can also run it remotely when that suits your team better. Every course runs as a single half-day session.
No. We build every session around the way your team already works, so people start with their own tasks and documents rather than abstract theory. Complete beginners and confident users get value from the same room.
Every attendee completes an AI Opportunities Survey before the workshop and a follow-up impact survey afterwards. You then get a Training Impact Report showing the use cases your team developed, the time saved, the ROI and how confidence levels shifted. We can also run an optional resurvey at three or six months to check adoption is sticking.
Yes. We are based in Covent Garden, London, and run most sessions in person at clients’ offices in London and across the UK. We also work with teams worldwide, from Paris and Berlin to New York and Singapore, and can run sessions remotely when that suits better.
From The Distillation, our newsletter on putting AI to work.
Anthropic just built the most capable AI model ever and decided not to release it. The cyber capabilities are extraordinary, the coding benchmarks are unprecedented, and the implications for every firm using software are serious.
Tom Hewitson ·
Claude, the assistant and model provided by Anthropic has had a sizeable upgrade which will be especially welcome for software developers.
Tom Hewitson ·
Reasoning models do more than predict the next token. They break problems into steps, use tools, inspect evidence, and adapt their approach as they work. That makes them especially useful for analytical and multi-step business tasks.
General Purpose ·
Tell us how your team works and we will design a bespoke Claude programme around your actual documents, tools and tasks.
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