AI
AI, with the thinking done first
For schools, charities, community groups and family businesses that want to use AI without putting anyone’s data at risk. We build with it, protect against its risks and help your team use it well. Every piece of work starts with the same three questions: what goes in, where it is stored and who can see it.
Build
Build with AI
Websites, apps and internal tools that use AI where it earns its place, such as summarising notes or drafting a first reply for a person to check. If a simpler tool would do the job, we will tell you.
Protect
Protect with AI in mind
AI policies, data protection impact assessments for AI features, and a check of what your current tools already send to AI. Written by a CIPP/E certified professional, in plain English. This is data protection advice. It is not legal advice from a solicitor.
Enable
Enable your team to use AI
Training on the AI already inside Google Workspace and the other tools you pay for, built around your team’s own work. People leave knowing what to use it for, and what to keep out of it.
How we use AI ourselves
A person checks everything
We use AI tools in our own work where they save time: first drafts, summaries of meeting notes, a second pair of eyes on code. Nothing AI-assisted reaches a client until a person has read it and is happy to put our name to it.
Your data stays out of public tools
Our contracts say so in writing. No confidential or personal information goes into a public AI tool without your permission.
Made by people
The photography, film and artwork on this site were made by people, not generated by AI. Some photos and film may have been edited with help from AI tools.
Where the experience comes from
An AI policy for a charity-sector organisation
Sam Hankin, our founder, works as a Chief Information Officer in the charity sector. He wrote the organisation’s AI policy, first in January 2025 and now in its second version. Staff complete a short introduction to AI, sign the policy and pass GDPR training before they use AI at work. Only approved tools are allowed, and donor and personal data is kept out.
Impact assessments for AI features
In the same role, Sam led the data protection impact assessment for AI call transcription and summaries: personal details redacted, retention limited, access by role and a person reviewing the output. It is the same process we follow for clients.
Talking to charities about AI
Sam wrote “AI in fundraising: from hype to human impact”, a talk for charities on using AI responsibly: approved tools, the least data possible, a person in the loop and workflows written down.
Training as a machine learning engineer
Sam is working towards becoming a Level 6 (degree level) Machine Learning Engineer, on an apprenticeship delivered by QA with NVIDIA. It covers building and testing AI systems, security, ethics and explainable AI, and deploying and monitoring AI in real organisations.
Credentials
Sam Hankin, Founder & Director, holds the CIPP/E (Certified Information Privacy Professional/Europe).
Chief Information Officer in the charity sector.
First-Class Honours BSc in Forensic Computing and Security, Bournemouth University.
Google Certified Trainer, with a PGCE and six years teaching GCSE and A Level Computer Science.
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