AI recipes that actually work for non-profits
Previewing my session at the free AI Masterclass, London, 22 April - here’s a taste of what’s on the menu. Try it for yourself — reserve your free place. Less than 10 remaining.
Most associations are using AI like fast food. Quick relief for workflow pains and budget pressure. It fills the immediate need - and yes, we know we ate. But are we actually satisfied?
That’s the question I keep coming back to. Because there’s a version of AI adoption that genuinely nourishes your organisation over the long term. One that doesn’t have a short shelf life. And most non-profits and associations haven’t found it yet.
From fast food to fine dining
Efficiency is a perfectly good reason to use AI. But it’s the fast food version - quick results, limited shelf life, and nowhere near as satisfying as what’s actually possible. The gains are real, but they’re just the starter, not the main course.
The real prize is what I’d call abundance - the much wider range of things AI makes possible when you move beyond the quick fix. Surfacing insights you didn’t know you had. Proactive intelligence that spots problems before they become crises. Personalised member experiences that genuinely strengthen loyalty. New revenue streams built on lasting, high-quality foundations.
That’s what fine dining AI looks like. And that’s exactly what I’ll be exploring in my session at the AI Masterclass in London on 22 April.
Great results start with knowing your ingredients
Before you can create a great dish, you need high quality ingredients. The same is true when building AI solutions that actually deliver.
The good news is that the ingredients are almost certainly already in your organisation. There are two types worth thinking about: structured data - your CRM, membership records, event attendance, engagement history - and unstructured knowledge - reports, webinar recordings, transcripts, PDFs and emails built up over years.
Most organisations have both. Most AI implementations only ever use one.
But having the ingredients isn’t enough. Quality and preparation matter. A great chef knows what they’ve got, what state it’s in, and what needs doing before it’s ready to use. In my session I’ll show you how to use your ingredients to create AI solutions that genuinely deliver.
What fine dining AI actually looks like
So what does it look like when an organisation gets this right?
It looks like knowledge that surfaces at the right moment rather than sitting buried in a document nobody can find. It looks like spotting member disengagement before it becomes a lapse, rather than chasing renewals after the fact. It looks like insights that were always hiding in your data, finally made visible. None of this is theoretical — associations are building these capabilities right now. The gap between those who are and those still microwaving is widening. I’ll be sharing concrete examples of what this looks like in practice on the day.
A taste of what’s on the AI menu
My session includes a set of practical recipes — each one designed to move you further along the journey from fast food to fine dining. A flavour of what’s on the plate:
Making your knowledge actually work. Most associations are sitting on years of reports, recordings, documents and FAQs that are effectively invisible to their members and staff. There’s a recipe for fixing that — reliably, with proper permissions built in from the start.
The attentive colleague. What if your systems could quietly notice when a member was struggling or disengaging, and prompt the right person at the right moment? Not a chatbot. Not an alert. Something much more like having an extra pair of eyes across your membership.
Personalised curation at scale. Matching the right content, events and opportunities to each member based on their history and preferences — without anyone having to do it manually.
And for those who like things fast: a quick-fire round of ideas including how associations are already building new revenue streams — think tiered access, pay-as-you-go AI tools and premium member features — directly off the back of their AI capability.
A word on doing this responsibly
One thing I want to make sure we cover, because it often gets skipped in these conversations: when personal data is part of the mix, responsible AI design isn’t optional.
Privacy by design, role-based permissions, data minimisation - these aren’t obstacles to good AI. They’re what makes the whole thing sustainable and trustworthy over the long haul. Getting this right is the difference between AI your members can trust and something with a very short shelf life indeed.
What’s on the menu on 22 April
My session runs from 13:55 to 14:50 at the AI Masterclass — a free, full-day event in London for non-profit and association leaders who want to cut through the noise and focus on what actually works.
From foundational quick wins to more ambitious capabilities, the session is designed to give you something you can act on — whether you’re just getting started or wondering why your current AI efforts aren’t quite hitting the mark.
And if you can’t make it on the day, watch this space. After the event I’ll be publishing a follow-up post going deeper into the recipes themselves.
Come hungry
The AI Masterclass on 22 April is free, practical and designed for people running organisations — not technologists. There’s a full day of sessions worth attending, and I’d love to see you there.
I’ll bring the recipes. Come with your questions.