AI buildingLearning designAI training

I build AI tools.
I design learning.
I train people in AI.

I'm Jim Ralley. I'm an AI builder, creating systems, agents and tools for agencies and businesses. I've also designed and facilitated learning experiences since 2008.

These two worlds come together when I design and facilitate AI training, workshops, and enablement.

Worked with

My two worlds collide

AI tools and platforms

Most of what I build has nothing to do with learning. An agency's in-house AI platform, a social impact scoring tool, a door access system for a coworking space, team dashboards.

AI training

I come from experiential learning, so my AI training isn't theory. Teams build genuinely useful things, quickly, then make them better. Copilot afternoons, AI sprints, foundations workshops, weekly microlearning.

Learning design and facilitation

Leadership, culture and change programmes for IKEA, Accenture, Macmillan Education, the Environment Agency and FCDO. Trained in experiential learning at Hyper Island.

Selected work

  • Learning
  • Build
  • AI training

18 years in learning.4 years in AI.

  1. 2026Building for agencies and clients, designing learning, and training teams in AI.
  2. 2025Claude Code launches and the mini pivot begins!
  3. 2024Started building automations with n8n and Lovable.
  4. 2023Co-founded Fathom, an AI learning analytics startup, and closed it in 2025 when it didn't work out.
  5. 2022ChatGPT and Midjourney launch, and AI goes into my workflow. Accenture, The IKEA Way, Brink.
  6. 2018Pivoted to pure learning design and consulting.
  7. 2016Co-founded Flux as an organisational change consultancy.
  8. 2012Hyper Island. Designed and led the MA in Digital Management, designed a new MA in Digital Experience Design, and later became Learning Lead.
  9. 2010Masters with Distinction, specialising in Creative Learning. Thesis on tech in education.
  10. 2008Co-founded The Big Art People. Art workshops in schools and communities. Ran for 2 years and worked on 100+ projects.

It must be practical

It's not about what people know at the end of a session. It's about what they can actually do back at work the next day.

It must be relevant

Motivation is the key factor in learning, so I build it around the work people actually do, not generic examples.

I am knee deep in it

I build with AI every day, on real work. That's where my training comes from, not from slides about it.