In this guide
AI for charities is most useful when it helps staff and volunteers complete repetitive work without weakening trust, safeguarding or accountability. It can prepare a first draft, organise information or route a request. It should not quietly take over decisions that affect beneficiaries, services or charity funds.
A sensible starting point is one well-understood workflow with a named owner. Choose work that happens often, has clear source information and can be checked by a person before anything important happens.
Where AI can help a charity
Drafting routine communications: AI can prepare first drafts of supporter emails, volunteer updates, event information and internal notes. Give it approved source material and require a person to check facts, tone, consent and audience before sending.
Finding information: A controlled internal assistant can help staff search approved policies, service information and frequently asked questions. It should point people back to the source document and make uncertainty visible instead of inventing an answer.
Meeting and reporting support: AI can turn non-sensitive notes into actions, organise themes from feedback or help structure a report. Keep the original records, verify the summary and remove personal information that is not needed.
Enquiry triage: A form or chat service can collect basic details and route an enquiry to the right team. Keep a clear route to a person. Do not let an untested system decide eligibility, urgency or safeguarding action on its own.
Fundraising administration: AI can help organise campaign plans or draft variations from approved facts. People should still approve claims, images, recipient lists and final messages. Donor preferences and fundraising rules continue to apply.
Start with the charity's purpose
Before choosing a product, write down how the proposed use supports the charity's purpose. Then record the possible benefit, who could be affected and what could go wrong. This keeps the discussion focused on service and public benefit instead of product features.
The Charity Commission for Northern Ireland's guidance says trustees collectively control and manage their charity, make decisions about resources and should manage risk appropriately. For charities in England and Wales, the Charity Commission's AI discussion similarly stresses trustee responsibility, human oversight and care where charities hold sensitive information or work with people at higher risk.
Record the decision in plain English: the purpose, owner, information used, checks required, review date and conditions that would stop the trial. Our AI risk assessment guide provides a useful structure.
Protect beneficiary, donor and volunteer information
Do not paste personal, confidential or safeguarding information into a product simply because it is convenient. First establish what information is genuinely required, where it will be processed, how long it will be retained, who can access it and whether the supplier uses inputs to improve its service.
The ICO's AI and data protection guidance is suitable for third-sector organisations. It covers lawfulness, fairness, transparency, data minimisation, accuracy, security, accountability and people's rights. The ICO notes that its detailed guidance is being reviewed following recent legal changes, so charities should check the current version when making a decision.
Use test or anonymised material where possible. Apply access controls, keep an agreed record of approved products and remove access when a staff member or volunteer leaves. The AI data privacy guide can help a team turn these questions into a practical checklist.
Give staff and volunteers clear rules
A short policy is better than an unwritten assumption. It should name approved products, prohibited information, required checks, uses that need prior approval and who to contact when something goes wrong. It should also explain that output can be inaccurate, biased or unsuitable even when it sounds confident.
Provide examples from real charity work. Show people how to remove unnecessary personal information, check a draft against its source and escalate anything involving safeguarding, eligibility, legal advice, health information or a significant decision. The workplace AI policy guide covers the core sections.
Run a small, controlled trial
- Choose one repetitive workflow and record how it currently works.
- Name the staff owner and the trustee or senior lead responsible for oversight.
- Set boundaries for information, decisions and acceptable use.
- Test normal, incomplete and difficult examples before live use.
- Measure corrections, staff effort, missed cases and user experience.
- Review the evidence and decide whether to stop, adjust or expand.
Do not treat a demonstration as proof. A trial should use representative examples, include a clear human fallback and leave enough evidence for trustees to make an informed decision. The AI workflow mapping guide can help define the process before testing starts.
Check security and supplier ownership
Ask who owns the account, where important settings and instructions are recorded, how access is protected, what logs are available and how the service can be paused. Confirm how the charity will retrieve its information and continue operating if the supplier changes terms or the tool becomes unavailable.
The NCSC guidelines for secure AI system development cover secure design, development, deployment, operation and maintenance. Even when a charity buys rather than builds a system, those stages provide useful questions about suppliers, monitoring, updates and incident handling.
A practical first decision
Begin with a task where mistakes are easy to spot and correct. Avoid the most sensitive beneficiary or safeguarding workflow as a first experiment. A useful trial should reduce a real burden while keeping staff, volunteers and trustees firmly in control.
If this is the kind of work you want help with, see how we support small-business AI projects.
Phil runs Blue Canvas AI, a Derry-based consultancy helping UK and Irish SMEs scope, train for, and implement practical AI workflows.
FAQ
Frequently asked questions
How can a small charity use AI?
Start with one repetitive, low-risk task such as preparing a first draft, organising non-sensitive information or routing routine enquiries. Keep a person responsible for checking the result.
Can a charity put beneficiary information into an AI tool?
Not without first understanding the purpose, legal basis, supplier terms, retention, access, security and risks to the people involved. Use anonymised or test information where possible.
Who is responsible for a charity's use of AI?
The charity should name an operational owner, but trustees retain responsibility for governance, resources and risk. Important decisions should not be delegated to an untested system.
What should an AI policy for a charity include?
It should cover approved products, prohibited information, human checks, uses requiring approval, incident reporting, account ownership and regular review.