Industry guides · Nonprofit

Free industry guide · for nonprofits

Nine in ten nonprofits now use AI, and about half have no written rule for it.

Here is where AI reaches your organization, and what to ask before you spend donor money or staff time on it.

5-minute version · full guide 45 minutes, 9 sections · reviewed Oct 14, 2026

92%of nonprofits use AI tools in some way

Almost every nonprofit now uses AI, but only 7% say it has made a major difference to what they can achieve. Nearly half have no written AI policy.

· Virtuous and Fundraising.AI, February 2026· Source

The five-minute version

What changed, what matters, and what to do next.

How each claim is supported:

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Tap any marked phrase for its source.

Much of that money comes with rules about how it can be spent. So the cost of running the organization, and who will pay for it, decide the year.

Almost every nonprofit uses AI. In a December 2025 survey of 346 nonprofits, 92% said they use AI tools in some way.

Most use is writing. Among nonprofits using AI, 84% use it for communications and 61% for fundraising, including grant applications and reports. A draft that took an afternoon now takes minutes.

Funders are not paying for it. About 90% of foundations give grantees no money or other help with AI. The time to learn the tools, check their work and write rules comes out of overhead, the budget line that is already hardest to fund.

Technology companies are offering tools free or cheap. Google reports that its AI app is included at no cost for up to 2,000 users at eligible nonprofits.

Client data is the first risk. Nonprofits hold case notes, addresses and health details about people in hard situations.

Invented figures are the second. AI tools can produce numbers and citations that look real and are not.

Donors notice. In a 2024 survey, 55% of people said they would be discouraged from giving if an appeal used an AI image that no staff member had checked.

Rules are missing. Nearly half of nonprofits have no AI policy.

Time saved is not money saved. An hour saved on a grant report pays only if it goes to programs, wins more grants, or lowers a cost.

A nonprofit with a $4 million budget has 35 staff. If each saves one hour a week, that is about 1,700 hours a year, worth about $50,000 at $30 an hour. The saving holds only if no client's records go into a tool without a data agreement, and no unchecked figure reaches a funder.

What should a nonprofit's leaders do first? Three plain things.

  1. Use AI first for writing and paperwork that hold no client or donor records.
  2. Write a one-page rule on what data never goes into an AI tool, and who checks every figure sent to a funder.
  3. Ask the board to adopt that rule and review it once a year.

None of this needs an IT department or a large budget. It needs one leader who owns each answer.

The full guide shows how nonprofits are funded, where AI touches that money, what has happened, who gains and who loses, and what to ask before you spend.

Read the full guide

45 minutes · 9 sections · ends with one decision to work through

Open the full guide

Where do you stand?

Six questions, a minute, from what you already know. Your answers pick what to read first.

  1. Do you know where staff use AI, and on what data?

  2. Is there a written rule on what client data never goes into an AI tool?

  3. Does a person check every figure before it reaches a funder?

  4. Has your board adopted an AI policy?

  5. Have you read the data terms of any free AI offer you use?

  6. Do you know whether your funders have rules on AI-written applications?

Questions for your team

The same ground, for whoever owns each answer. Bring them to your next leadership meeting.

Ask executive director

Where do staff use AI today, and on what data?

A good answer

A list by team, with the data each use touches.

Push back if you hear

“People use what they like.”

Ask development lead

Who checks every figure and story before it reaches a donor or funder?

A good answer

A named reviewer for each document.

Push back if you hear

“The tool is accurate.”

Ask program director

What client information may never go into an AI tool?

A good answer

A written rule that staff have signed.

Push back if you hear

“Staff use common sense.”

Ask finance lead

What did AI tools cost last year, and what did they save after staff time?

A good answer

A figure that includes time spent checking.

Push back if you hear

“It is hard to measure.”

Ask board chair

Has the board adopted an AI policy, and who reports on it?

A good answer

A policy, an owner and a yearly review.

Push back if you hear

“Management handles that.”

Ask volunteer or people lead

How are staff and volunteers trained, and how do they feel about AI?

A good answer

Training records and a short survey.

Push back if you hear

“They will pick it up.”

Three decisions leaders are making now

For a company of $50M to $500M ·

Who checks every figure before it reaches a funder?

AI tools can produce numbers and citations that look real and are not.

Open the lesson ›

Should one team pilot AI before everyone gets it?

A short pilot under a written data rule shows what to allow.

Open the lesson ›

Are your funders starting to ask how proposals were written?

One large federal funder already limits AI-written applications.

Open the lesson ›

Executive+

The guide tells you what is changing. Executive+ tells you what to do about it at your company.

Describe your business once. Every course comes back as an analysis written for it: the bottom line, actions in order with their sources, and the result that would change the decision.

What this course means for your company

Illustrative company

Fundraising and grants, applied to a $4 million nonprofit

Bottom line

Whether to accept a technology company's free AI tools for all 35 staff, or pilot them with the development team first. Owner: the executive director, with the program director. Decision this month.

What success looks like

A written rule that keeps client names, case notes and donor gift records out of AI tools; a named person who checks every figure sent to a funder; pilot results to the board within 90 days.

The rule for when to stop

If any client information enters the tool, or any unchecked figure reaches a funder, the pilot pauses until the rule is fixed.

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