Thundamental.

Human-First. AI-Forward.

The best AI talent already works for you. We train the people who know your business best to lead the change AI is bringing.

Start simple, prove value fast, then scale what works.
Zee, caped and pointing forward
Aug 2024.
Building and teaching AI since
400+.
Organisations our frameworks are tested across
Engineer-founded.
AI adoption, run like an engineering problem

Recent work: functional leadership teams at national retail brands, executive coaching for a CEO at a major financial institution, and capability programmes across professional services, consumer brands and asset management.

Your team already uses AI. That's not the same as capability.

Everyone chats with AI now. Ask it questions, get answers, paste the result. Try the four questions we ask every new client:

  • Can your team reuse their best prompts, or do they retype them every time?
  • Does AI know your business context, or does every chat start from zero?
  • Has anyone checked what it gets wrong in your domain?
  • Is any of it repeatable, or does it live in one person's chat history?

Answer all four honestly. Most teams can't say yes to more than one.

Knowing where the buttons are is a fifth of the picture. The rest is learning to rethink the work itself. That's the part almost everyone skips, and it's the part we teach.

Derek, shrugging

Derek. Used AI. Sent 47 slides. Nobody read them.

Zee holding a map of the business

Build from within.

AI talent is expensive to hire, and it doesn't know your business. Your people do. They know the problems, the clients, the workflows, the exceptions. What they're missing is AI capability, and that's trainable.

We build AI Builders. Give the people who know the work the ability to rethink it, and they'll find the opportunities, and the risks, that no outsider ever would.

Crawl. Walk. Run. Fly.

Nobody rethinks their work in a slideshow. Capability is built in stages, and it starts with play.

Zee crawling: pose in progress
01

Crawl

Play and experiment, no ROI pressure. In practice: from using AI like smart search to handing it real files and real tasks. Group workshops, then daily tutorials.

Zee walking: pose in progress
02

Walk

Pick one or two of your own workflows. Capture what works, reuse it, stop retyping. This is where your personal AI operating system takes shape, 1-on-1: you bring the workflow, we bring the engineering.

Zee running: pose in progress
03

Run

Scale across the organisation. The kind of shift where 200 invoices that took a week to check take under two hours.

Zee flying, cape on
04

Fly

An AI-enabled organisation. Champions, governance, capability that compounds.

Most teams place themselves at Walk. Almost everyone starts at Crawl, and Crawl is about play, not output.

The five areas of AI capability

1

Mindset

Comfort, confidence, and the curiosity to experiment.

2

Skills

Prompting and context craft, practised on your own work.

3

Tools

What each platform does best, and when to use it.

4

Knowledge

How AI works: judgement, ethics, privacy, guardrails.

5

Workflows

Where AI fits your day. The hardest area, and the one that pays.

Neglect one and it bottlenecks the rest. Under these five sits our full competency model: named, measurable capabilities, tracked through every programme. Isolated skills don't compound. Connected systems do.

Measured, customised, documented.

Literacy before strategy. Org-wide, not leadership-first.

build at work, share back in the next feedback session Survey measure first C1 · Baseline 3 hrs · in person learn the tools 15 min a day micro-tutorials C2 · Levers 2.5 hrs · feedback first apply to real work 15 min a day micro-tutorials C3 · Blueprint 2 hrs · system design wire it together Report the shift, documented 70% doing 20% discussion 10% instruction Every session, measured by what you build, not what you watch.

Workshops are work.

Bring your laptop, hand AI a real task from your own job, leave with something you built. First session in person, 15 to 20 people, so the facilitator reads the room.

Micro-learning builds the depth.

Workshops ignite interest. Daily 15-minute tutorials internalise it, layer by layer. The people who finish the tutorials are the people who adopt AI.

You keep the system, not notes.

Templates, playbooks, prompt libraries, reusable skills. CRAWL ends with a starter AI workspace; Walk grows it into your personal AI operating system.

Taught through frameworks we developed: Intelligence vs Judgement. Pilot vs Passenger. Automation ≠ AI (about 80% of what people want to hand AI is plain automation). The Division of Labour.

And one rule throughout: one thing at a time. Capability is built, not installed.

We don't just teach building. We build.

The learning platform your team trains on is one we built ourselves, with AI, as non-technical builders. We use every tool we teach, every day, on our own business. Everything we teach, we've shipped.

The Thundamental LMS: built with AI, no developers hired, live right now at learn.thundamental.com

Mac Mini the robot, typing at its laptop

The programmes

For every business

AI Foundations

For teams of 10 to 20, any industry, starting the journey properly.

Format: 3 hands-on workshops (first one in person) + 3 weeks of daily 15-minute tutorials on our platform.

What you get
  • A starter AI workspace your team keeps and builds on
  • A library of use cases with working prompts, from your own work
  • Tool and task guides your people keep
  • A before-and-after capability report for leadership
Ask about AI Foundations
Financial services

AI Alpha

For investment, banking and asset management teams.

Format: the same CRAWL engine, engineered for financial services work.

What you get
  • Everything in AI Foundations, built on financial workflows
  • Use cases in analysis, research and reporting
  • Data judgement and governance guardrails for regulated work
  • A capability baseline your risk team will actually accept

Everyone will have AI. Alpha goes to the people who use it better than the market.

Ask about AI Alpha
After the training

Fractional AI Support

For individuals and leaders who want implementation, not theory.

Format: ongoing 1-on-1 coaching sessions on your real workflows.

What you get
  • Your personal AI operating system, designed and built
  • Workflows decomposed, allocated and rebuilt AI-first
  • A coach on call as the AI landscape shifts
Ask about Fractional

The goal is a team that no longer needs us.

Capability that stays when we leave. That's the whole point.

Book a conversation
Zee in four poses, ending in a dance