AI systems for UK charities.
We design, build and run systems that charities can trust, understand and rely on. Make Sense Of It pairs a decade of machine-learning engineering with more than two decades of digital strategy for the sector.
Who we work with
The problem
Stuck between ambition and production?
Charities can see what AI could do for them: freeing up time for mission, unlocking insight buried in their data, reaching more people with the same resources.
What they’re missing isn’t ideas, it’s answers to the questions that follow: where does the data go, how do we know the outputs are accurate, what does enterprise governance look like? We can help you answer those questions.
How we build
Every system keeps a record.
Where its outputs came from, who approved what, and what it has done. We’ve spent three years building this infrastructure for UK charities, so your project starts from tested foundations, not from scratch: source tracing, approval workflows, audit logs and data handling designed with a DPIA in mind.
- UK data residency. Your data stays in the UK, in a dedicated deployment - never co-mingled with anyone else's, never used to train a model.
- A person signs off. Anything that goes to a funder, a donor or a trustee waits for a human decision.
- Governance included. Each deployment arrives with the DPIA, trustee brief and consent framework in place.
- Portable, not proprietary. Outputs in open formats; the configuration and the code are yours to take with you.
See the software work
One task, end to end.
Messy inputs in. A structured record out. A person signs off. Every figure traces back to source.
Messy reality comes in
Emails, voicenotes, PDFs, surveys: whatever your team actually gets.
In production today
Running every day.
Software running daily inside UK charities - not pilots, not demos.
How we think
We publish what we learn.
The AI Playbook for Charities has been read by leaders across the sector, and our white papers dig into the harder questions: accuracy, governance, integration, cost. If you need something to forward to your CEO or your board, start here.
Who’s behind it
Strategy and engineering, together.
Most teams doing AI for the charity sector have the strategy or the engineering. Edd has been building machine-learning systems for a decade - at Dyson, at a health-tech startup, and for the last three years in production for UK charities. Suzanne has spent more than twenty years in nonprofit digital, from co-founding Public Life to leading digital transformation at Cruse Bereavement Support.
Working with us means getting both, from strategy through to a system running in production.
Talk to us.
We’re always happy to talk about AI and what it might mean for your organisation. Tell us the task, or grab a slot in the diary - every message reaches us directly.