How Can You Use AI in The Nonprofit Sector?

Many assume that AI technology is largely being implemented by the for-profit sector. This isn’t entirely true. Some estimates suggest that the nonprofit sector is leading the way when it comes to AI adoption. 58% of nonprofits are using AI compared to 47% of for-profit organizations. Clearly, there are real benefits to using AI and machine learning in nonprofit work.

Like for-profits, how nonprofits use AI will vary based on their organizational goals. A healthcare organization won’t use it for the same reasons an adult education group would. However, there are also a few unique ways that any nonprofit can use these tools.

The rest of this article will explore these concepts. We will look at how nonprofits are using AI today, where AI usage trends in the industry are heading, and how different types of nonprofits use it in different ways.

Common Use Cases For AI in Nonprofits

Content & Communications

Nonprofit organizations are increasingly turning to AI to support their communications efforts. Many also use AI to draft donor emails, social media posts, newsletters, and sections of grant proposals. AI can also assist by translating materials into multiple languages and swiftly summarizing long documents or meeting notes.

Fundraising Support

AI supports fundraising efforts by helping teams understand donor patterns and plan outreach with more accuracy. This use case is common. One survey found that 71% of nonprofits are either using or planning to use AI in their fundraising efforts.

Many platforms segment donor lists based on past activity, predict who may give again, and suggest messages that fit each group. These features help staff focus on the donors who need attention and prepare campaigns that match their giving behavior.

Program Delivery

36% of nonprofits now use AI to deliver programs. For example, chatbots can respond to client questions or support intake processes. For educational nonprofits, adaptive learning tools can adjust to meet individual needs, and automation can provide faster feedback.

Data & Operations

AI improves how nonprofits handle information by organizing program data, analyzing surveys, and sorting documents that once required many manual steps. It can also flag financial or HR irregularities that may need review.

Many teams rely on built-in AI features in CRMs and productivity tools to manage schedules, automate small tasks, and keep daily operations running smoothly.

Emerging Trends That Indicate How AI Will Be Used in Nonprofits in The Future

Predictive & Generative AI Integrations

Looking ahead, nonprofits are adopting AI that combines predictive analytics with generative capabilities. These systems may score donor prospects and produce outreach drafts at the same time. Program teams may use tools that analyze large datasets and generate recommendations for service improvements.

Monitoring & Measurement

Another emerging trend sees nonprofits using AI for real-time monitoring and measurement of complex conditions. Tools that track conditions across different environments, model development needs, or provide early-warning signals will become more accessible. Mobile diagnostics and automated analysis also give staff clearer insights that help them respond to challenges sooner.

Ethics & Governance

With greater AI adoption comes heightened attention to ethics and governance. Many nonprofits are starting to build responsible-AI policies, training staff in AI literacy, and instituting clearer rules around privacy, oversight, and bias reduction.

Partnerships

Partnerships are a crucial enabler for nonprofits leveraging AI effectively. Collaborations with universities, technology companies, and AI-for-good networks allow nonprofits to access expertise, data infrastructure, and tools they may not have in-house.

Unique Ways Various Industries Use AI in The Nonprofit Sector

Healthcare

Health-focused nonprofits use AI to answer patient questions, screen symptoms, and send reminders. Imaging tools assist with reading X-rays or ultrasound scans in low-resource settings. AI also analyzes large health datasets to track trends, guide outreach, and support early detection of potential issues.

Education

Education groups use AI tutors, grading tools, and translation systems. Large organizations build custom tutors, while small nonprofits use LLMs to create lesson plans, quizzes, and content. AI can also automate attendance and parent messaging.

Environmental

The negative environmental impacts of AI use are often discussed, but the positive impacts of responsible use are too frequently ignored. AI can monitor land-use changes, track emissions, and identify species in photos or audio recordings. Predictive models also help forecast heat risks, floods, droughts, and other climate events. Data platforms supported by AI can also organize gathered information for easier review.

Here is some data that gives you an idea of what your nonprofit’s AI goals could be.

Sources

• UNESCO
• S&P Global
• IEA
• BCG

Humanitarian

Humanitarian groups use AI chatbots to provide multilingual guidance on shelter, legal rights, and available services. AI systems review field reports, analyze communications data, and highlight urgent needs. Some tools can also predict changes in population movement and resource demands.

Disaster Relief

Disaster relief teams use AI to review satellite or aerial images and produce rapid damage assessments. These systems help map affected areas and guide early decisions about supplies and personnel. Forecasting tools predict fire spread, storm paths, or flood severity, which supports preparation and response planning.

Key Considerations to Make Before Introducing AI and Machine Learning in Your Nonprofit

Clarify Purpose & Scope

Avoid adopting AI just because it’s “trendy.” Instead, define a clear objective. Consider what specific problem you are trying to address with AI and involve all key stakeholders early. It’s also important to avoid “big bang” rollouts. Start with one workflow, one data set, or one goal before gradually branching out your usage.

Assess Data Readiness

Ensure your data is clean, relevant, structured, and accessible. Check for data silos, inconsistent formats, or missing metadata, and adjust accordingly. Bad data organization means poor results from any AI tool.

Evaluate Technology & Infrastructure

Check your infrastructure (hardware, cloud, network, etc.) and whether you have staff who can manage or partner for AI tool deployment. Also, see if any of your current tools already have built-in AI features. These features may be enough to meet your goals.

If you’re not sure, here is a list of common tools that have built-in AI features. Of course, always check with your administrator for specific details. This list is general.

Consider Ethics, Privacy & Governance

AI often processes large volumes of sensitive data. So, nonprofits need to address privacy and compliance by securing sensitive data with strong encryption and access controls while following any required compliance regulations.

Plus, even for small pilots, it is wise to define who uses which AI tools, for what purpose, and how decisions are reviewed. Having these in place helps control who can access your datasets and what they can do with them. These regulations prevent data tampering or poisoning.

Build Staff Capability

Your staff must understand what AI can and cannot do. Otherwise, tools may be misused or misinterpreted. Also, remember that introducing AI often requires shifts in workflows. So, be prepared for that change and ensure you can manage it.

Plan for Responsible Use

Avoid over-promising to yourself, your stakeholders, and your employees. AI is not a magic solution; human oversight remains essential. That’s why you must develop policies for how AI will be used, what data is acceptable, how you will dispose of or archive data, and how you will respond to unintended outcomes.

Monitor Performance

Set measurable outcomes based on your success criteria. AI systems require oversight to detect drift, bias, or degraded performance, so plan for regular monitoring. Taking feedback from your key users is also a good way to gauge what works and what doesn’t.

Ask Our Consultants How You Can Benefit From AI in Your Nonprofit

AI is often advertised as a “plug-and-play” quick fix for almost any problem. The reality is much more complicated. No AI tool on the market can automate the solution to every problem, nor can any fully function without human intervention. That’s why it’s important to assess what you need it to do the most and what resources you have available to make it work.

Power Consulting can help you make those decisions. Our team has extensive experience working with nonprofit organizations, so we have a deep understanding of your needs. We can use this knowledge to help you pinpoint where AI would benefit you the most and assist you as you procure the right technology to make it happen.

Contact us today to learn more about what we can do!