New to AI for Nonprofits? Start Here.
Artificial intelligence is everywhere right now, and the conversation can feel overwhelming. This page is designed to help nonprofit leaders and staff cut through the noise and find what they actually need to know. At Community IT we are nonprofit technology practitioners with 25 years of experience helping organizations like yours make thoughtful technology decisions. We are curious about AI, learning alongside you, and here to help you make sense of what AI means for your nonprofit organization.
Use this page as your starting point. Each section below links to resources, including many from Community IT and some from trusted outside sources, to help you go deeper on the topics that matter most to you.
What Is Artificial Intelligence (AI)?
Artificial intelligence is not a single thing. It is a broad category of technologies that allow computers to perform tasks that previously required human intelligence, including recognizing patterns, making predictions, and generating content.
You already use AI every day. Your GPS finding the fastest route home is AI. Netflix recommending what to watch next is AI. Your email spam filter is AI. Your phone unlocking when it recognizes your face is AI. What has changed in the last few years is that AI has become dramatically more capable, more accessible, and much more visible, especially with tools like ChatGPT and Microsoft Copilot.
It helps to understand the progression of AI types:
- Narrow AI (the kind behind GPS and Netflix recommendations) is designed to do one specific task very well. It has been around for decades and generally relies on its own database, which may be customer data.
- Machine Learning is how AI systems learn from data. Instead of following rules someone programmed, they find patterns by analyzing millions of examples.
- Generative AI (ChatGPT, Gemini, Microsoft Copilot, Claude) is the newer wave. These tools can generate text, images, code, and more in response to your questions. This is what most people mean today when they say “AI.”
- Agentic AI is the emerging frontier. Where generative AI answers a question, agentic AI can plan and carry out multi-step tasks on its own, for example not just telling you the best flight options but actually booking the ticket. This is where AI is heading.
Resources to learn more:
- Thomson Reuters: Agentic AI vs. Generative AI — a clear explanation of how agentic AI differs from the generative AI tools most people are using today.
- IBM: Understanding the Different Types of Artificial Intelligence — a clear overview of AI categories from narrow AI through generative and agentic.
- NTEN: AI Concepts Explainer for Nonprofits — includes a plain-language video breaking down machine learning, generative AI, and algorithms.
- PBS Frontline: In the Age of AI — a two-hour documentary on how AI is reshaping work, privacy, and society. Note: produced in 2019, so it predates generative AI tools like ChatGPT, but it remains an excellent foundation for understanding how we got here. Also available free on YouTube.
Why Does AI Matter to Nonprofits?
You may be thinking: we have not decided whether to use AI at our organization. Whether or not your organization formally adopts AI tools, AI is already affecting your work.
The tools you already use, Microsoft 365, Google Workspace, Salesforce, Canva, Zoom, are adding AI features in every update, often by default.
Your staff may already be using free AI tools like ChatGPT on their own, whether or not there is a policy.
And the communities your organization serves are being affected by AI in healthcare, education, workforce development, housing, criminal justice, environmental policy, and virtually every sector where nonprofits work.
Even if your official stance is “not yet,” your organization and your sector will look significantly different in two to five years because of AI. Understanding what that change looks like is not optional. It is part of your leadership responsibility.
Community IT resources on this topic:
- Video: Nonprofit Tech Roundtable 2026 — our senior staff on AI, cybersecurity, and essential IT trends.
- Blog: AI Is Already in Your Nonprofit — Steps to Manage the Risks insights on how nonprofit leaders, staff, and boards can manage the inherent risks of AI adoption by putting clear policies and training in place before widespread use
- Podcast: AI for Nonprofits with Cheryl Contee — a practical overview of how nonprofits are engaging with these tools.
Build Your AI Literacy First
Before your organization makes any formal decisions about AI, we recommend getting genuinely familiar with what you are deciding about. This means experimenting with the tools, not just reading about them.
AI literacy does not mean becoming a technical expert. It means understanding enough to ask good questions, evaluate what you are seeing, and make informed decisions. The U.S. Department of Labor has defined five core areas of AI literacy: understanding AI principles, exploring AI uses, directing AI effectively, evaluating AI outputs, and using AI responsibly. These are practical skills, not abstract concepts.
Resources:
- DOL AI Literacy Framework (TEN 07-25, February 2026) — a free government framework defining what AI literacy looks like in practice.
- Video: How To Nonprofit AI with Brenda Foster — practical guidance on AI literacy and a five-question framework for evaluating AI tools.
- Podcast: Introducing the Nonprofit AI Podcast with Carolyn Woodard — our Tuesday series designed to help nonprofit staff stay current on AI without it becoming a second job.
- Podcast: AI How-To for Nonprofits with Brenda Foster — how and why to use AI at work and how to get started.
Can You Use AI and Keep Your Values?
This is one of the most important questions in the nonprofit sector right now, and there is no universal answer. Every organization will need to work this out for itself.
What we have observed is that a hard yes/no position on AI is difficult to sustain in practice. Your staff are making small decisions about AI tools every day, whether or not there is a formal policy. The more useful question is not “should we use AI?” but “how do we use AI in ways that are consistent with our mission and values, and how do we decide together?”
That means having open conversations across your organization. It means being honest about what you do not know. It means building in transparency with your constituents when AI is involved in work that affects them. And it means revisiting your decisions regularly, because this technology is changing fast.
Community IT resources on this topic:
- Video: Nonprofit AI Governance Tips with Nura Aboki — how to prioritize intentional AI implementation.
- Video: AI and Ethics for Nonprofits with Sarah Di Troia and Johan Hammerstrom — the impact of AI on your staff, community partners, volunteers, and funders.
- Podcast: AI and Nonprofit Project Management with Alex Tuck — experiences with AI implementation and ethics in practice.
Ethics Frameworks for Nonprofit AI
Several organizations have developed frameworks specifically to help nonprofits and funders think through the ethical dimensions of AI adoption. Rather than prescribing specific tools or policies, these frameworks give you a structured way to ask the right questions for your organization.
Resources:
- Blog: Mission-Aligned AI Adoption Model for Nonprofits The risk to nonprofits is not AI adoption. The risk is unmanaged AI adoption.
- Video: Nonprofit AI Framework with Sarah Di Troia (Project Evident) and Jean Westrick (TAG) — walks through a research-based framework covering organizational, ethical, and technical considerations. A foundational resource, even though it predates the generative AI era.
- NTEN: AI Governance Resource Hub — templates, videos, and policy resources for responsible AI adoption.
How Do You Make an AI Policy?
Creating an AI policy does not have to be a massive project. The goal is to give your staff clarity on what is expected and to create a shared foundation for the decisions they will face every day.
A good starting point: download our free template, adapt it to your organization, share it with staff, and plan to revisit it every six months. AI tools and best practices are changing quickly enough that a policy you write today will need to be updated frequently.
No time to gather everyone to discuss this in depth? Even a short meeting with a one-page description of your philosophy and principles around AI will give you a starting point, and something to refer back to as more decision points come up.
Key topics a nonprofit AI policy should address:
- Which AI tools are approved for staff use (and which are not)
- How to use an AI tools as securely as possible
- What kinds of data should never be entered into an AI tool
- When and how to disclose AI use to clients, funders, or the public
- How to review and verify AI outputs before using them
- A process for raising questions and concerns as the technology evolves
Community IT resources:
- Download: Acceptable Use of AI Tools in the Nonprofit Workplace (free template) — our most-downloaded resource. A starting point you can adapt for your organization.
- Podcast: Managing AI Risks at Nonprofits with Peter Campbell — practical guidance on what belongs in an AI policy and how often to review it.
- Blog: Why Should Your Nonprofit Worry About Using Free AI Tools? — the allure of “free” is powerful, it’s a path fraught with risk. At Community IT Innovators, our work with nonprofits has shown us that what seems like a simple, no-cost solution can actually create significant—and costly—vulnerabilities.
What Can I Actually Do With AI?
AI tools fall into two broad categories for nonprofits: productivity tools that help your staff work more efficiently, and mission tools that directly affect how you serve your community.
Productivity Uses
These are typically lower-risk starting points. Think drafting emails and communications, summarizing long documents, creating first drafts of grant proposals or reports, generating meeting notes, brainstorming, creating social media content, and analyzing data.
Mission Uses
These are higher-stakes conversations. Examples include using AI to screen clients or applications, using AI in direct service delivery, using AI-generated analysis to inform program decisions, or using AI to communicate directly with the people you serve. These uses have greater potential benefits and greater potential risks.
You are the subject-experts in what your nonprofit does. What have you always thought your organization could be doing if you had the time, staff, technology, or data? AI may help check some of those constraints off your list, so your staff can really seize an opportunity or deliver deeper human-centered services.
Community IT resources:
- Webinar: AI Maturity Model for Nonprofits — where is your organization on the AI adoption journey? A framework for next steps if you have already piloted AI and have a policy.
- Podcast: Using AI to Write a Better RFP for IT Support — a practical example of AI as a productivity tool, not a replacement for human decision making.
- Blog: What Do Nonprofits Need to Know About Gemini and Google Workspace? — AI is already bundled into tools you use.
What Are the Risks, and How Do You Manage Them?
AI tools are powerful and also imperfect. Understanding where the risks are highest helps you use these tools more safely.
The highest-risk situations include:
- Using AI-generated content without reviewing it for accuracy (AI tools can generate incorrect information confidently)
- Using AI to communicate directly with the public or your constituents without disclosure or human review
- Relying on AI for decisions that affect people’s lives without appropriate human oversight
- Assuming your cybersecurity setup is AI-ready without reviewing file permissions, data access, and data hygiene
- Sharing confidential client or donor data into a free AI tool (free tools often use your inputs to train their models, and may be reviewed by outsiders)
- Assuming everyone at your organization is on the same AI page
A useful rule of thumb from nonprofit tech consultant Peter Campbell: use AI tools to create things you already know enough about to verify. If you cannot tell when the AI is wrong, that is a signal to proceed carefully.
Community IT resources:
- Podcast: Managing AI Risks at Nonprofits with Peter Campbell — where the greatest risks lie for nonprofits using AI, and how often to review your policies as the technology changes rapidly.
- Video: How to Use AI Tools Safely at Nonprofits with Matt Eshleman — how to use Copilot and Gemini more securely at your nonprofit.
- Podcast: Prep Your File Permissions for AI Tools with Steve Longenecker — a critical and often-overlooked step before rolling out enterprise AI tools.
- Blog: AI Is Already in Your Nonprofit — Steps to Manage the Risks — successful technology adoption is about more than just trends—it’s about strategy, mission alignment, and risk management.
How Do I Choose AI Tools That Align With My Values?
Not all AI tools are created equal. The companies behind them make choices about how they train their models, whose data they use, how they handle your data, how they handle privacy, whether they compensate creators, and how transparent they are about errors and limitations. For nonprofits whose missions are tied to equity, justice, and community wellbeing, these questions matter.
AI companies do not make it easy to understand their business. It can be a struggle to understand the basics.
Questions to ask when evaluating any AI tool:
- Who built this tool, and what are their stated values?
- What data was used to train it, and was it obtained ethically?
- Where does my data go when I use this tool? Is it used to train the model?
- Has this tool been tested for bias, especially for communities like the ones we serve?
- Is the company transparent about limitations, errors, and incidents?
- Is there a nonprofit or mission-aligned pricing tier?
Community IT resources:
- Video: Nonprofit AI Framework with Sarah Di Troia and Jean Westrick — a structured approach to evaluating AI adoption decisions.
- Video: AI and Ethics for Nonprofits — a conversation about using Artificial Intelligence with ethics both within your organization as staff do their jobs, and with your community as you work with your partners, volunteers, and funders to achieve your mission.
Ready to Get Started? A Simple Checklist.
If you are new to AI at your organization, here is a practical sequence to work through:
- Get personally familiar. Spend a few hours experimenting with non-sensitive questions, logged in with your work email to a free tool like ChatGPT, Microsoft Copilot, or Google Gemini. See what it does well and where it falls short. Read up on what nonprofits are using AI to do to improve productivity or achieve their missions.
- Find out what AI tools your staff are already using. You may be surprised. This does not require a policy yet, just a conversation. Survey your staff on how comfortable they are using AI, what they are doing that they could share with others. Learning alone creates single points of failure. Learning together brings a team perspective to new tools.
- Review your file permissions and data access. Before any AI tool touches your organization’s files, make sure you know what data is accessible. Our podcast with Steve Longenecker covers this step.
- Download our AI policy template and adapt it for your organization. Even a simple policy creates shared expectations and starts the conversation. Speaking openly about AI hopes and fears creates a space where staff can ask serious questions and learn from each other without a fear of using AI “wrong.”
- Have a staff conversation about AI use. Include your team in the process of setting norms, not just announcing them. Include AI updates and sharing as a standing topic in staff meetings.
- Subscribe to our Nonprofit AI Podcast (every Tuesday, 20-30 minutes). Staying current does not have to take much time.
- Plan to revise and revisit your policy frequently. This field is moving fast.
About Community IT Innovators
Community IT Innovators is a 100% employee-owned managed IT services provider exclusively serving nonprofits. For 25 years, we have helped mission-driven organizations make thoughtful, sustainable technology decisions. We are not AI vendors. We are your IT colleagues, curious about what AI means for the sector we care about and committed to helping you navigate it responsibly.
Questions? Contact us.
This page is updated periodically. Resources are reviewed annually; links older than two years are refreshed or retired.
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As advocates for using technology to work smarter, we’re practicing what we recommend. This article was drafted with the assistance of AI, but the content was reviewed, edited, and finalized by a human editor to ensure accuracy and relevance.
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