Nonprofit teams stretch every hour and every dollar. The examples on this page show how a helper can draft grant text, thank-you notes and reports, so staff can spend more time on the mission.
Each one lists what you get and what a person must still check. Many involve private information, so we point out where to be careful.
17 examples across 10 topics: Fundraising, Donor relations, Volunteers, Reporting, Communications, Accessibility, Intake, Governance, Grants, Data safety.
The helper reads your earlier reports and program descriptions.
The result: You get a draft to reshape, so you start with words instead of a blank page.
Read more about Drafting a first pass of a grant application from past reportsYou give the helper a donor's giving history and notes on what that person cares about.
The result: You get drafts that a staff member edits and signs.
Read more about Writing donor thank-you notes with a personal touchThe helper reads the shift schedule.
The result: You get a batch of reminders and thank-yous to review and send.
Read more about Organizing volunteer shift reminders and thank-yousThe helper reads open-ended survey answers from clients or participants.
The result: You get a themes summary that is quick for the board to read.
Read more about Summarizing survey responses for the boardStaff share program notes and photos.
The result: You get a story draft and social posts, ready for a check of the facts and permissions.
Read more about Preparing an annual-impact story draft from program notesThe helper gathers funder deadlines and requirements into one shared calendar.
The result: You get one calendar and checklist to confirm against each funder's own page.
Read more about Keeping a calendar of grant deadlines and requirementsThe helper rewrites a flyer or form in friendlier, simpler words.
The result: You get a clearer version to test with a few real readers.
Read more about Drafting plain-language versions of program handoutsThe helper reads incoming messages and forms.
The result: You get a sorted queue, so staff reply personally and urgent needs reach a person fast.
Read more about Sorting incoming requests for help into the right queueThe helper gathers the agenda, last meeting's notes and the reports into one packet.
The result: You get an organized packet for the director to check before it is shared.
Read more about Preparing board-meeting packets from scattered documentsStaff paste in short updates.
The result: You get a steady newsletter draft for the editor to review and send.
Read more about Drafting a monthly newsletter from staff updatesThe helper reads your award letters.
The result: You get a full calendar with reminders, and a person checks it against the originals.
Read more about Drafting a grant-reporting calendar from award lettersThe helper reads a donor database export.
The result: You get a sorted list with drafts to edit and approve, so thanks go out sooner.
Read more about Segmenting a donor list for a thoughtful thank-you campaignThe helper transcribes a board or committee meeting.
The result: You get a minutes draft for the secretary to edit and a clear to-do list.
Read more about Turning meeting recordings into minutes and action itemsThe helper reads de-identified program data and case-note summaries.
The result: You get a monthly report draft for the director to check against real results.
Read more about Building a program-outcomes dashboard from case notesWhen someone signs up to volunteer, the helper drafts a few short messages.
The result: You review the series once, then approve each batch, so every volunteer starts well.
Read more about Creating a volunteer-onboarding sequence with remindersA helper gathers a client's basic details through a simple chat or form, then writes an intake summary for staff.
The result: You get tidy summaries in a review queue, and staff stay in charge of every decision.
Read more about Setting up a client-intake assistant with a human review queueThis is a plain-language guide for staff on what to keep out of AI tools.
The result: You get written guidelines, a short training plan and a list of approved tools.
Read more about Keeping client information safe when staff use ChatGPT and similar tools