Nonprofits often do a lot with few staff and tight budgets, which makes AI’s time savings especially valuable. At the same time, nonprofits serve vulnerable people and depend on trust from donors and communities, so responsible use matters. This guide covers practical uses and simple safeguards.

Fundraising and donor relations

  • Personalized thank-you letters and updates, drafted by AI and reviewed by staff.
  • Donor segmentation: analyzing giving histories to tailor appeals.
  • Campaign content: email sequences, social posts and landing page copy.
  • Prospect research summaries from public information.

Keep authenticity central: donors respond to real stories and real people. Never fabricate beneficiary stories or images that misrepresent your work.

Grant writing

AI can help:

  • summarize funder guidelines and eligibility criteria;
  • create outlines mapped to each requirement;
  • draft sections from your notes, program data and past proposals;
  • check consistency, word limits and clarity.

Funders expect accuracy and genuine program knowledge. Some funders have policies on AI use in applications — check them. Always verify figures and claims.

Communications

  • turning reports into newsletters, posts and short videos;
  • translating materials for multilingual communities;
  • simplifying complex information into plain language;
  • generating alt text drafts for accessibility.

Program delivery

  • Chat and voice assistants answering common questions from service users — designed carefully with escalation to staff, especially for sensitive services;
  • case notes summaries to reduce administrative burden for caseworkers;
  • needs analysis from surveys and feedback;
  • training materials for volunteers.

Data and impact reporting

AI data tools help analyze program data, create charts and draft impact reports, making evaluation more accessible to small teams without data analysts.

Operations

Meeting summaries, policy drafts, job descriptions, volunteer scheduling and answering internal questions from your own documents.

Low-cost access

Many technology companies offer nonprofit discounts or donated licenses for productivity and AI tools. Open-source models and community programs are other options. Start with tools you already have — many office suites now include AI features.

Writing an AI use policy

A one- or two-page policy should cover:

  1. Approved tools and accounts.
  2. Data rules: no personal data of service users, donors or staff in unapproved tools; special care for sensitive categories like health, immigration status or domestic violence.
  3. Human review of all external content.
  4. Transparency: when to disclose AI use to donors, funders and service users.
  5. Imagery: no AI-generated images presented as real people or events.
  6. Accountability: who to ask and who approves new uses.

Frameworks like the NIST AI Risk Management Framework offer more detailed guidance for larger organizations.

Getting started

Pick one time-consuming task — grant reports, newsletters, meeting notes — try AI for a month, measure time saved and quality, and share what works across the team.

Example prompts for common nonprofit tasks

Grant section draft:

Using the program notes and outcome data below, draft the “Need and approach” section of a grant proposal, maximum 500 words, addressing the funder’s criteria listed. Use only the facts provided and mark any gaps with [MISSING]. Notes: [paste]. Criteria: [paste].

Donor thank-you:

Write a warm, personal thank-you email to a first-time donor who gave to our winter food program. Mention the specific impact described here, avoid clichés, keep it under 150 words. Impact: [paste].

Plain-language rewrite:

Rewrite this information for families about our services in plain language at a reading age of about 11, keeping all the important details. Text: [paste].

Remove personal details from anything you paste unless your tool is approved for that data.

What to watch next

  • Funders’ policies on AI use in grant applications.
  • Donated AI tools and training programs for nonprofits.
  • Sector-specific guidance on AI with vulnerable populations.
  • AI features built into donor management systems.

Key takeaways

  • AI saves nonprofits time in fundraising, grant writing, communications and operations.
  • Keep donor communications authentic and never fabricate stories or images.
  • Verify all figures and check funder policies on AI use.
  • Protect service users’ data with clear rules on approved tools.
  • A short AI use policy and one well-measured pilot are the best start.

Frequently asked questions

Is it ethical for nonprofits to use AI-written appeals?

Using AI to draft is common; what matters is that content is truthful, reviewed by people and represents your work honestly.

Can we use AI-generated images of beneficiaries?

Avoid presenting AI images as real people or events. If you use illustrations, label them clearly.

What is the cheapest way to start?

Use AI features in tools you already have and check technology companies’ nonprofit programs for discounts or donations.