AI Tools for Nonprofits: What to Use, What to Skip

Ninety-two percent of nonprofit organizations use artificial intelligence in some form, according to the 2026 Nonprofit AI Adoption Report from Virtuous and Fundraising.AI. But only 7% say it has meaningfully improved their ability to deliver on their mission. 

What’s causing that gap? Is the AI itself at fault? It’s possible, but most AI-powered tools sold to nonprofits do roughly what they claim to do, and even most skeptics have to admit they’ve seen AI do some pretty remarkable things by now. No, what separates the organizations getting results from the rest is whether the AI tools they’ve adopted are attached to a real job, attached to a real owner, and set up for success.

This post covers what AI tools for nonprofits hold up, which ones are worth skipping, and, most importantly, what you need to do ahead of time to ensure your organization is properly set up to get the most out of the AI tools you’re using.

Download AI with Intention, our AI strategy guide for nonprofits, to find out what you need to put in place to get the most out of the AI technology you’re already using. 

What to Know Before You Adopt a New AI Tool

• Nonprofit AI adoption is close to universal at 92%, but only 24% of nonprofits have a formal AI strategy.
• Eighty-one percent of nonprofits use AI ad hoc, with no documented process. Only 4% have repeatable workflows.
• Much of what a nonprofit marketing team needs is available for free or at a heavy discount, including Gemini, NotebookLM, and Canva Pro. These AI solutions cover a wide range of use cases without adding to your budget.
• The tools worth paying for touch your CRM records rather than the text you paste into a chat window.
• Consumer AI tiers are not an appropriate destination for donor data, yet roughly half of nonprofits have no policy that says so.

How AI Gets Used Is As Important As Which Tools You Pick

Eighty-one percent of nonprofits use AI ad hoc with no documented process, and only 4% have repeatable workflows in place. The 2026 Nonprofit AI Adoption Report breaks the pattern down further:

• Sixty-five percent of organizations describe their AI use as reactive and individual, meaning one person opens a chat window when they get stuck.
• Just 18% report AI running inside team workflows.
• Only 7% have it connected to goals, budgets, and performance indicators.

For a marketing team, better tools can’t improve a metric nobody is tracking. If your email program has no baseline open rate by segment, you won’t have any way to evaluate whether A/B tested AI-drafted subject lines are producing better results for your fundraising efforts.

Start with the Task, Not the Tool: 4 Questions to Ask Before Using AI

Pick AI tools by starting with a specific recurring task instead of a category of software. Name the task, name who does it, define how long it takes, and determine what a good result looks like. A tool that doesn’t streamline a task you can describe in those terms won’t get used past the first month.

Ask these four questions as you’re considering new AI tools:

1. What recurring task does this speed up or replace? If the answer is a category rather than a task, stop. “Content creation” isn’t a task. “Uploading the monthly program newsletter” is. Other clear tasks include drafting social media posts, managing potential donor outreach sequences, or generating summaries of board meeting notes.
2. Who owns that task now? A tool with no owner becomes a login nobody remembers. For nonprofit professionals managing time-consuming tasks across fundraising campaigns, this question matters most.
3. Where does the output go next? Into HubSpot, into a scheduled post, into a grant report? If the output has no destination, the tool is producing drafts for a drawer.
4. How will we know it worked? Name the number before you start, whether that’s hours saved per month or reactivation rate on a specific segment. Without defined metrics, you can’t evaluate the power of AI for your specific initiatives.

These four questions are also the shortest path out of the repeatable workflow problem we mentioned earlier. If your organization can answer those questions, you’ve written the beginning of a documented workflow. Having that in place separates nonprofits seeing results from those just seeing activity.

AI Tools Worth Using for Nonprofit Marketing

Five categories of AI tools hold up for nonprofit marketing teams: general-purpose AI assistants for drafting and research, transcription and synthesis for interviews and meetings, design tools for social and email assets, CRM-native AI inside a platform you already pay for, and ad platform automation.

Category	What It Does Well	Nonprofit Cost	Assign It To
General-purpose assistants (ChatGPT, Claude, Gemini)	First drafts, summarizing long documents, restructuring content you already have	Gemini included free with Google Workspace for Nonprofits; ChatGPT nonprofit seats around $8 per user per month	Appeal drafts, blog outlines, synthesizing open-ended survey responses
Transcription and synthesis (NotebookLM, Otter, Fathom)	Turning interviews into usable text and finding themes across dozens of documents at once	NotebookLM included free with Workspace for Nonprofits; Otter and Fathom offer nonprofit discounts	Program staff interviews, board meeting notes, grant report source material
Design (Canva)	On-brand social and email assets without a designer in the loop for every request	Free Canva Pro for up to 50 users	Social graphics, event collateral, one-pagers, social media management templates
CRM-native AI (HubSpot Breeze and platform equivalents)	Acting on your actual contact and giving records rather than on text pasted into a chat window	40% off Professional and Enterprise for eligible new HubSpot nonprofit customers	Segmentation, lifecycle reporting, donor email personalization, chatbots for website visitor capture
Ad platform automation (Google Ads, Meta)	Bid and placement optimization at budgets too small to manage by hand	Included in the platforms; Google Ad Grants provides up to $10,000 per month in search spend	Grant search campaigns, retargeting, lead form optimization

General-Purpose Assistants For Research and High-Level 

ChatGPT, Claude, and Gemini cover the widest range of marketing work, and, when used well, most nonprofits can get a lot out of them. Where they truly excel is at quickly processing information for new insights and summaries, such as:

• Turning a 40-page program evaluation into a two-page appeal draft that keeps the specifics intact
• Reading five years of open-ended donor engagement survey comments and naming the themes that repeat
• Rewriting a grant narrative you already have for a different funder’s priorities
• Auditing a page of website copy against your messaging framework and flagging what drifts

One caveat on quality is worth stating plainly. Generative AI tools save time on first drafts and add time on final drafts when nobody edits against a real standard. A team without a style guide will spend the hours it saved on rewrites.

CRM-Native AI Beats Bolt-On Tools

AI that integrates into your CRM can make a difference at two levels: operational and strategic. The operational level involves subject line testing and send-time optimization, which saves a communications manager a few hours a month. The strategic level, on the other hand, promises personalization at scale with machine learning: a donor who lapsed three years ago can get a different message from someone who gave for the first time last month, and the system sorts them without anyone building a list by hand.

Reaching that strategic level depends on what your CRM already knows. Just as a standalone AI tool can only work with the text someone pastes into it, AI-powered functionality inside your CRM only works with the fields your team fills in. That’s why the consistency and comprehensiveness of your data matters even more than which AI tool you choose.

To build the right data foundation, nonprofits need to track:

• First gift date, most recent gift, and cumulative giving
• Communication preferences and email engagement history
• Event attendance and volunteer history
• Program interest

Lifecycle stages do the other half of the work. Every contact should sit in a stage that reflects that donor’s real relationship, whether they’re a prospective donor, an active supporter, a lapsed giver, or a major gift prospect. Without those stages, segmentation falls back on demographics, and demographics are a weak proxy for intent. 

A well-structured donor database is the highest-return AI investment most organizations in the nonprofit sector will make. Read our AI strategy guide, AI with Intention, to learn which properties and lifecycle stages you need to make automation worthwhile.

Which AI Tools to Skip (and Why)

Here are the kinds of tools you should skip.

Skip Tools That Duplicate Software You Already Pay For

Before adding anything, list what your existing platforms already include. That list is usually longer than the team assumes. You don’t need to buy a separate AI writing tool when Google Workspace for Nonprofits already includes Gemini, or a new meeting notetaker when the video platform already records and summarizes calls.

Skip Volume Content Generation 

Publishing at volume without a positioning or keyword strategy produces pages that compete against each other for the same terms and split the authority your website has already built. Search visibility today depends on being the most specific, best-sourced answer to a real question. The pages you get from a volume generator won’t cite anything an answer engine would want to quote. One well-sourced page targeting a term you can realistically win will outperform twenty thin ones.

Skip Any Tool Handling Donor Data Without a Data Protection Agreement 

Donor records, giving history, and anything a donor shared in confidence should only enter tools covered by terms that exclude your inputs from model training. Consumer tiers of the major AI products don’t meet that bar. Business and enterprise tiers typically offer stronger data-handling commitments, but you still need a policy that says what datasets are permitted and who decides. For nonprofit professionals managing stakeholder relationships and constituent trust, this is non-negotiable.

Nonprofits Already Qualify for Most of This at a Discount

Verified 501(c)(3) organizations get significant nonprofit pricing on the major AI tools. Google Workspace for Nonprofits is free for up to 2,000 users and includes the Gemini app and NotebookLM. Canva gives nonprofits free Pro access for up to 50 users. HubSpot discounts Professional and Enterprise by 40% for eligible new customers. These discounts make the power of AI accessible for nonprofit fundraising at nearly every budget level.

Tool	Nonprofit Price	Worth Knowing
Google Workspace for Nonprofits	$0 for up to 2,000 users	Includes the Gemini app, Gems, Deep Research, Gemini Live, and NotebookLM. Gemini inside Docs, Gmail, and Sheets is not part of the nonprofit plan.
Canva	Free Canva Pro for up to 50 users	Excludes government bodies, political organizations, schools, and grant-making foundations. Additional seats are 50% off.
ChatGPT	Around $8 per user per month on annual billing	Verified through a 501(c)(3) check. Academic, healthcare, and government organizations are largely excluded.
Microsoft 365 Copilot	Around $25.50 per user per month, plus a base Microsoft 365 license	Business Basic is free for up to 300 nonprofit users, so the real figure is the Copilot add-on.
HubSpot	40% off Professional and Enterprise	New customers only, annual contract, North America, Australia, and New Zealand. It cannot be applied to an existing subscription.

Prices and eligibility rules in this category change several times a year. Confirm current terms with each provider before you budget.

Pick One Workflow and Document It This Month

Choose one recurring marketing task at your organization. Ask the four questions we listed above. Write down the steps, including where the output goes and who reviews it. Assign one person to own it. Then decide which tool you’re already using will give you a better result.

Following that process moves your organization out of the 81% using AI ad hoc and into the group that can tell whether a tool is working. It also gives you the template for the next workflow you document.

At Big Sea, we work with nonprofits to help them get the most out of the tools they use. Download our e-book, AI With Intention: A Nonprofit Leader’s Guide to AI That Moves Your Mission, to learn how to build the data foundation you need to get the most out of the AI tools you already have.

FAQs About AI Tools for Nonprofits

Is AI Worth the Investment for a Small Nonprofit?

Smaller nonprofits report moderate improvement from AI at a slightly higher rate than large ones: 41% versus 34%. The investment pays off when it’s attached to a specific recurring task with a named owner. It does not pay off as a general capability purchase.

Which AI Tools Should a Small Nonprofit Start With?

Start with one general-purpose assistant and the AI already included in your CRM and productivity suite. Google Workspace for Nonprofits includes the Gemini app and NotebookLM at no cost for eligible organizations, which covers drafting, research, and document synthesis without adding a subscription.

Can Nonprofits Put Donor Data Into AI Tools?

You should not put donor data into consumer tiers. Donor records, giving history, and other information shared by donors should only enter tools covered by a data protection agreement that excludes your inputs from model training. However, some data should never enter an LLM, regardless of the model.