AI for nonprofits: prepare grant evidence and reviewed drafts
By Ai Flowi · Published
AI for nonprofit grant preparation can organise a supplied funder brief into requirements, approved project facts and unanswered evidence questions. Draft only from those facts, then have the grant team check every claim and the actual question limit. This process prepares a reviewed application draft; it does not decide eligibility or submit an application.
Status: documented. The reading, model and merge interfaces used here are documented in the catalogue; not production-tested by Ai Flowi. There is no recorded grant-writing execution or fundraising result for this proposal.
Choose assistance that preserves the grant question
A grant question can ask for an activity, an observed result or evidence of a future plan. Keep those categories distinct. An approved activity description cannot, on its own, support a claim that the activity improved participants’ circumstances. A fluent draft should not erase that missing proof.
| Task | Draft preparation | Human responsibility |
|---|---|---|
| Requirement mapping | Retain the exact funder question and stated limit. | Confirm the supplied brief is the applicable version. |
| Project narrative | Organise approved facts with their evidence references. | Verify scope and remove unsupported outcome claims. |
| Budget explanation | Refer to the supplied reviewed budget record. | Check figures and whether they answer the funder question. |
| Eligibility or submission | Outside this draft-only configuration. | The authorised grant team checks the rules and submits. |
Submission portals, donor messaging and eligibility automation are excluded from this design: no connection or execution is evidenced here. The article makes no fundraising forecast or tax interpretation. Use the funder’s original material and the organisation’s authorised reviewer for those decisions.
Map each requirement to an evidence row
Assign a requirement identifier without paraphrasing away the question. Store the exact word or character limit as given; a word limit and a character limit need different checks. If the limit is unclear, record the ambiguity before generation rather than choosing whichever measurement lets the draft fit.
| Field | Evidence to preserve | Reviewer check |
|---|---|---|
| requirement_id / exact_question | Question locator and the literal supplied wording. | Check all parts of a multi-part question. |
| question_limit | Value and whether it counts words or characters. | Verify using the funder-specified convention when available. |
| project_fact | Fact approved for this application, with its scope. | Separate planned activity from completed work. |
| evidence_ref / date | Reference, relevant passage and applicable date. | Resolve conflicting revisions before accepting the claim. |
| supplied_budget_ref | Identifier of the reviewed budget supporting this section. | Do not derive new figures from narrative guesses. |
| unknown / reviewer | Missing support and the person assigned to resolve it. | An unanswered row stays open until a person supplies evidence. |
Keep beneficiary stories out of the draft unless they are authorised source material for this specific use. A model-created story is not evidence. Where a question asks for impact, make the missing impact record explicit even if the organisation has strong evidence that activities took place.
Prepare the source bundle
You need the supplied funder brief, approved project facts, source dates, a reviewed budget reference and a grant reviewer. Work from an analysis copy containing only the necessary material. Keep restricted beneficiary records separate and include no personal story merely to make the prose more persuasive.
Arrange your own Google account’s access to the funder analysis copy and grant review document using the Google Docs connection reference.
Configure a requirement-led draft
example configuration, not a recorded test
- Read the permitted brief. Status: documented. Follow the Get Text reading instructions for the funder’s analysis copy. Locate each question together with its explanatory note and stated limit; a limit from the following section must not be attached to the current requirement. Preserve the funder’s section labels so similarly worded questions remain distinct.
- Connect model access. Status: documented. Use your own provider account and the API key or other credentials required by the selected service.
- Prepare the evidence draft. Status: documented. Name the Structured Output proposal
grant_evidence_draftinschema_name, and giveinput_valueone funder question, its limit and the fact-to-evidence rows. Usesystem_promptto keep proposed workshops in future tense, distinguish the venue offer from confirmed delivery and expose absent outcome evidence. A question about demonstrated impact must not be answered by recasting planned activities as completed results. - Merge accepted wording. Status: documented. Refer to the shared document merge procedure for Template Merge. In this grant’s proposed
values, maprequirement_idto{{QUESTION_REF}}, the unabridged question to{{FUNDER_QUESTION}}, accepted narrative to{{PROPOSED_ANSWER}}, supporting references to{{EVIDENCE_NOTES}}, and missing support to{{OPEN_REQUIREMENTS}}. Keep the question’s limit visible beside the answer, including its unit.
The schema and validation guide supplies the common extraction boundary; assemble this requirement’s source text manually. For a multi-part question, give each requested part an evidence entry even when the proposed answer is one paragraph. A venue letter may support where workshops are planned while leaving staffing or observed results unanswered. Grouping those claims under one document reference would conceal which parts the letter actually supports.
Draft from two fictional approved facts
This is a synthetic writing exercise. The approved source bundle says the project plans reading workshops and a named partner has offered a venue. Keep a separate source reference for each fact.
A bounded draft can say: “The proposed project will organise reading workshops at the partner-offered venue.” The reviewer checks that sentence against both source records. It describes a plan without claiming attendance, literacy gains or completed delivery.
If the funder question also asks for demonstrated impact, the narrative remains incomplete. Add an evidence-gap note for observed outcomes rather than inventing a success claim. If a timetable document and venue letter show different start dates, retain the conflict and omit a definite start date until the responsible team resolves it.
Review coverage and limits outside the model
The intended artifact contains a proposed answer beside its requirement ID, approved evidence references, missing support and human disposition. Verify that {{QUESTION_REF}} and {{FUNDER_QUESTION}} still identify the same requirement after merging. Review {{PROPOSED_ANSWER}} without counting the internal evidence notes as part of the submitted response unless the funder explicitly requires them. The open-requirements area must retain the missing impact evidence from the fictional workshop example.
Check each clause against a fact, then check each requested part against the draft. Measure the accepted wording using the specified word or character rule; the model’s own count is not the acceptance check. A shorter answer that omits the impact question still fails requirement coverage.
Trial an absent budget reference, a conflicting date and a question with no outcome evidence. Reject any draft that fills those gaps or converts planned delivery into completed work. Retain the correction in the worksheet so another draft cannot silently restore the unsupported claim.
Why should the grant team stay responsible for release?
Do not use this workflow to make an eligibility ruling, provide tax advice or send donor communications. If the evidence pack is already small and clear, a human-written answer may cover the need. A provider failure or partial merge requires inspection of the actual review copy before a retry.
For broader source discovery, see AI research report writer. Automate content creation covers general drafting; this worksheet keeps the grant’s exact requirement, limit and evidence gap attached to the answer.
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