AI USE CASE
Nonprofit Grant Proposal AI Drafter
Drafts targeted grant applications for small charities using their programme data and funder priorities.
What it is
This use case uses an LLM trained on the organisation's theory of change, impact reports, and programme data to generate first-draft grant proposals tailored to specific funders. Staff review and refine the drafts rather than writing from scratch, cutting proposal preparation time by 60–75%. For a small charity spending €40K/year on a grant-writer, this can reduce that cost to a part-time role or redeploy staff toward programme delivery. Organisations typically see their first completed draft within days of setup.
Data you need
Existing programme descriptions, theory of change documents, past grant applications or impact reports, and a list of target funders with their stated priorities.
Required systems
- none
Why it works
- Maintain a living document library (theory of change, programme data, past successful proposals) that the AI can draw from.
- Assign one staff member as the prompt-and-template owner who updates funder profiles each funding cycle.
- Use the AI for first drafts only; build a two-step human review into the workflow before submission.
- Start with a single familiar funder to validate output quality before scaling to new grant types.
How this goes wrong
- Drafts lack the specific impact evidence funders require because the organisation hasn't documented its outcomes rigorously.
- Staff treat outputs as final and submit without review, leading to generic proposals that damage funder relationships.
- Funder requirements change frequently and the prompt templates aren't updated, causing misaligned applications.
- Volunteers or a single development lead lack the time to properly onboard and maintain the tool, leading to abandonment.
When NOT to do this
Do not deploy this if the charity has no written programme documentation — grant proposals will be vague and could misrepresent the organisation's actual work to funders.
Vendors to consider
Sources
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