AI Training
Learn to build the AI tools your charity actually needs.
Most AI training teaches you to chat with a bot. This teaches your team to build their own tools for the jobs in front of them — bids, thank-yous, board papers, policies — and to use them safely. It is being built now, and the first places go to people on the list.
Every one of the nearly 100 tools on PurposeKit was built this way, by a fundraiser with no coding background. If it can be learned, it can be taught.
Register your interestFree to register. One email when it opens — nothing else.
Where the real value is
AI creates three kinds of value for charities. Most teams stop at the first. The training is built to get you to the third.
Scale
Do more of the same, faster.
A fundraiser drafts 50 donor thank-you letters in the time it used to take to write five.
Lift
Do it better than before.
A hospice analyses three years of supporter feedback and spots the patterns that reshape its stewardship.
Unlock
Do what was never possible.
A small charity CEO gets CFO-level financial modelling they could never have paid a consultant for.
The question worth asking is not “how do we do what we already do more cheaply?” It is “what could we do for the people we serve that we have never been able to do before?” Read the thinking behind this.
What your team will be able to do
Build a tool for a real job
Turn a task your team repeats every week into a custom AI tool, the same way every tool on PurposeKit was made.
Get output worth reading
Write prompts that produce specific, usable work grounded in UK charity context — not generic slop.
Use it safely
Know what can and cannot go into an AI tool under UK GDPR, and how to explain that to trustees.
Prove it was worth it
Measure the hours, money and energy involved, so the case for AI rests on evidence rather than hype.
In the meantime
Steve writes about charities and AI in his LinkedIn newsletter — what is working, what is not, and the ideas the training is built on. Subscribe there to keep learning while you wait.