AI for charities: what to use it for, what to keep human, and how to train your team

Grant and bid drafting, donor communications, meeting notes and administration are the practical uses. Every output needs a named human reviewer, and trustees remain responsible for charity decisions.

Charities can use AI for grant and bid drafting, donor communications, meeting notes and administrative work, with a named person checking the output. Trustees remain responsible for decisions. A half-day team workshop starts from £3,400 and a full day from £5,700, excluding tax and indicative until scoped. Keep confidential beneficiary data out of public AI models.

Plan charity AI training

08:00

Grant and bid drafting example

10:30

Data handling in the UK charity context

13:00

Trustee oversight and human review

Synthetic illustrative example, not a Paloren client: a charity bid writer might supply programme notes, a prior report and a funder's criteria, then ask the tool to produce a first draft.

A reviewer checks claims against evidence, flags unsupported statements, and signs off before submission. The tool helps with structure and first drafts, not with responsibility.

The same workflow extends to a second common task: turning approved meeting notes into a funder-ready summary. Inputs would be a sample meeting record and a funder reporting template.

A named reviewer checks every figure against the source, signs off before submission, and records what was checked. Illustrative example, not a client result.

A second reviewer is useful where a grant condition or a beneficiary detail could change materially. The named reviewer still owns the decision.

Never upload confidential beneficiary data or un-anonymized personal information to public AI models. Check consent, sensitivity and retention before putting anything into a tool.

Use anonymized, synthetic or internal examples for practice. This is operational guidance, not legal advice. For legal, regulatory or safeguarding questions, take specialist advice.

Record what data may go into a prompt, what must stay out, and who reviews the output. That rule should sit with the workflow, not in someone's memory.

Trustees remain responsible for charity decisions. AI can help with drafting, summarising or analysis, but it does not become the accountable person. A named staff member or volunteer should check the output against the source before it is used.

For sensitive decisions, the review should happen before submission, not after.

Training should include this boundary so the team knows when to stop and escalate, and so governance stays practical rather than decorative.

13:00

A practical charity AI policy

A useful policy fits on one page and lives where people work. It should cover approved uses, prohibited inputs, human review, record keeping and escalation. Generic principles alone do not stop a well-meaning volunteer from pasting a beneficiary report into a public model.

AI policy template | AI governance training

Free sector resources

Charity Commission guidance, TechSoup, NTEN and Microsoft Learn are useful starting points for awareness, tool basics and general governance. They can be enough when a small team needs to understand what AI is and where to start.

Tailored paid training becomes useful when a charity needs to apply AI to its own recurring work, when several people share review standards, or when the team needs a workplace trial and follow-up review rather than general awareness.

Training formats and prices

Charity team training
Format	From	Length
Half-day workshop	from £3,400	3.5 hours
Full-day workshop	from £5,700	6.5 hours
Department program	from £13,600	4 to 6 weeks

Prices are indicative until scoped and exclude tax. Cohorts support 6 to 16 people. Delivery is onsite at the client's site or remote during working hours, with travel at cost.

Training is delivered by co-founders Aaron Agius and Alex Agius and senior practitioners.

15:30

Talking to Paloren

Send the charity, the team, approved tools and the tasks you want to improve. We reply within one business day, arrange a call within 3 business days, and send a tailored proposal within 2 business days of that call.

Tell us what you'd like to change: Contact Paloren about your team

15:30

How the work runs

Define approved use
Name where AI may help and where it must not be used.
Protect sensitive data
Set prohibited inputs, consent rules and safe practice examples.
Train the team
Run baseline practice, guided work and independent attempts.
Keep review human
Name the reviewer, record checks and report findings to trustees.

Send the team, approved tools and tasks. We reply within one business day.

Questions to ask before you commit

How can charities use AI safely?

Use it for drafting, summarising and checking work where a named person can review the output. Keep confidential beneficiary data and un-anonymized personal information out of public AI models.

Record approved uses, prohibited inputs, escalation and record keeping in a short policy.

Can AI write charity grant applications?

Yes, as a first draft. Someone must supply programme evidence, funder criteria and review criteria, then check claims against sources before submission. The tool helps with structure and drafting, not with accountability.

What data should a charity avoid uploading?

Never upload confidential beneficiary data or un-anonymized personal information to public AI models. Use anonymized, synthetic or internal examples for practice, and record what data may go into a prompt before work starts.

Who is responsible for charity AI decisions?

Trustees remain responsible for charity decisions. A named staff member or volunteer checks AI output against the source before it is used. AI does not become the accountable person for governance, safeguarding or submission.

Which tools should a charity choose?

Charity Commission guidance, TechSoup, NTEN and Microsoft Learn can help with general awareness and tool basics. Tailored paid training becomes useful when the team needs to apply AI to its own recurring workflows with shared review standards.

Who delivers the training?

Co-founders Aaron Agius and Alex Agius and senior practitioners deliver charity training. Sessions are practice-based, with an independent attempt and a named reviewer for the workplace trial.

How much does charity AI training cost?

A half-day workshop starts from £3,400 for 3.5 hours and a full-day workshop starts from £5,700 for 6.5 hours. A department program starts from £13,600 over 4 to 6 weeks. Prices exclude tax and are indicative until scoped.

Which charity workflow should improve first?