Is a small nonprofit ready to adopt AI tools?
A small nonprofit can start a pilot when it has one defined task, permission to use the inputs, a person responsible for checking the output, and a way to stop. Test with public or fictional examples before using real constituent data.
Five checks before a pilot
Score each item 0 if missing, 1 if partly in place, or 2 if demonstrated. Use the score to identify work to do before a pilot.
- Task. Describe the input, expected output, reviewer, and decision the output will inform.
- Data. Write down which inputs are allowed, where outputs live, and who may see them.
- People. Name the owner and give the reviewer time to check the results.
- Test. Assemble examples with known correct answers, including ambiguous cases and missing facts.
- Stop. Name the person who can stop the pilot, keep a manual fallback, and log problems.
If data, people, or stop scores zero, keep the pilot on fictional examples. This score is a planning exercise rather than a certification.
Run a first-week test
Pick five public grant guidelines. Record their eligibility, geography, application channel, and deadline if stated. Have the tool extract those fields and point to the supporting text. Compare each answer with the original and count unsupported entries separately from missing fields.
Record time spent checking results alongside time saved preparing them. If the tool invents deadlines, instruct it to report “not found” when the source is silent and try a fresh sample. Keep submissions and messages manual during the pilot.
Document the handoff
Record permitted inputs, keep the reference examples, and have the named reviewer check every output used in a decision. Repeat the test when the workflow changes. This checklist adapts oversight and risk assessment ideas from the NIST AI RMF Core.
Continue with the AI in nonprofit fundraising guide and the foundation partnership pipeline case study.