Club, not course.
Energy matters more than syllabus. People should leave with something they tried, not something they watched.
// club_not_course
This is not AI training. It's a club.
AI Foundry is a twelve-week working group that turns scattered experiments into shared confidence, useful evidence and decisions leadership can act on. Energy over syllabus. Evidence over opinion.
- 12 weeks
- Time-boxed working group
- 5 principles
- How the room works
- 6 decisions
- What leadership decides
// five_foundry_principles
Five principles make the room work.
Most people in your organisation are hiding what they don't know about AI. The room is designed for that.
Safe to be a beginner.
The room must work for first-time users and regular experimenters alike. Nobody performs expertise; nobody hides confusion.
Tie it to real work.
The centre of gravity is operational friction, not abstract AI exploration.
Facilitate, don't lecture.
DTP brings structure and questions. The expertise lives in the room.
Notice governance.
Surface acceptable use, confidentiality and quality control as you go, without making governance the whole point.
// the_twelve_weeks
Make the next step obvious.
A controlled route across five phases: enough structure to be useful, enough room for real operational friction to surface.
Mobilise
Sponsor intent, participant mix, baseline, tools and permission boundary.
Common ground
A shared mental model of what AI does well, where it fails and how to use it responsibly.
Hands dirty
Tool demos, toolbox day, mini-challenges and hackathons. Bring the most annoying workflow you own; that's the raw material.
Apply to work
Cross-functional pitches and business workshops tied to real operational friction.
Land it
Showcase, lessons learned, shortlist, guardrail themes and the leadership readout.
// the_readout
The output is not a deck. It's a set of choices.
Your organisation doesn't lack AI ideas; it lacks evidence. Twelve weeks of real attempts let leadership sort the pipeline into six honest decisions:
use cases with enough evidence, appetite and ownership to justify the next stage.
useful activity that needs data rules, accountable owners, human review or escalation.
promising areas that need more evidence before leadership commits.
work blocked by access, risk, unclear ownership or weak timing.
ideas that look interesting but don't deserve more organisational attention.
measured before and after: not just attendance, but people comfortable applying and presenting AI work.
// what_you_leave_with
What you leave with.
A shortlist of practical AI use cases grounded in your real problems
One or two proof-of-concept candidates ready for a serious decision
A measurably more confident, more connected workforce
A leadership readout: where you are, what's worth doing, and what isn't
A decision pack with clear next steps
// what_it_takes
Foundry asks three things of you.
- A named sponsor someone who owns the leadership question.
- A working contact someone who keeps the group connected to real work.
- Leadership air cover permission for people to spend real time and be beginners in public.
Best fit
- Teams with real workflows to inspect
- Leaders who want evidence before build
- Organisations that need adoption confidence
Less suitable
- A generic AI awareness session
- A one-off motivational talk
- A replacement for policy, legal or compliance work
If the sponsor, contact or air cover isn't available yet, start with Readiness: it's a smaller ask. Start with Readiness
// your_part_in_the_room
You do not need a finished idea. You need something real to explore.
Foundry works when participants bring their knowledge of the work, stay curious and report honestly on what happens.
// curiosity_becomes_connection
The best raw material is a task, workflow or frustration you already understand. It does not need to be polished before you bring it into the room.
Foundry is hands-on. You will test tools and approaches, compare results and learn from attempts that do not work as expected.
Useful evidence includes what helped, what failed, what felt risky and what would need to change before an idea could be taken further.
// participant_questions
Useful questions before you start.
The short version: beginners are welcome, real work is encouraged, and nobody is expected to turn every experiment into a project.
Do I need technical or AI experience?
No. Foundry is designed for a mixed group, including people who are completely new to AI and people who already experiment with it regularly. You are not expected to perform expertise or hide what you do not know.
Is this a training course?
Not in the usual sense. There is enough shared learning to give everyone a useful starting point, but the programme runs as a working club. The emphasis is on trying things, discussing what happened and applying the learning to real work.
What will we actually do?
The activity mix can include AI fundamentals, tool demonstrations, practical challenges, hackathons, peer showcases, failure stories and workshops built around real business problems. The exact mix is shaped around the people in the cohort and the opportunities that surface.
What should I bring to the sessions?
Bring curiosity and examples of work you understand. A repetitive task, awkward handover, slow document process, information bottleneck or small frustration can all be useful starting points. You do not need to arrive with a finished AI idea.
How much time will it take?
The Foundry runs over twelve weeks, with a planned rhythm of sessions and practical activity. Your organisation will confirm the detailed schedule. The time is intended to be treated as part of the work, not as an extra hobby squeezed around it.
Which AI tools will we use?
Tools and access routes are agreed with your organisation. Foundry can work with tools already available to the cohort and may introduce other options where appropriate. Nobody should create new accounts, buy licences or use unapproved tools simply for the sake of a session.
Can I use confidential or sensitive information?
Only where the tool, information and use have been approved by your organisation. Sessions include practical discussion about confidentiality, accuracy and human review. If you are unsure whether material is safe to use, stop and ask before entering it into an AI tool.
What if my experiment does not work?
That is useful evidence, not failure. The programme is designed to make it safe to test ideas, compare results and explain what did not work. A clear reason to pause or stop an idea can be as valuable as finding one worth developing.
Will every idea become a software project?
No. Some ideas may be solved with a better prompt, a simple workflow change, guidance or an existing tool. Others may need more investigation, a proof of concept or no further action. The point is to make a proportionate decision, not to manufacture a build pipeline.
What happens at the end of the twelve weeks?
The cohort shares what it tried and what it learned. Leadership receives a grounded readout covering practical use cases, adoption signals, risks, ownership questions and recommended next decisions. Strong ideas may move forward, while others may be guided, investigated, paused or stopped.
// bring_foundry_to_your_team
Thinking about a Foundry for your organisation?
If people need permission, shared confidence and a practical route from AI interest to useful evidence, we can help you decide whether Foundry is the right fit.