4 Ways Agentic AI Can Help Nonprofits Focus on Their Mission


Imagine you’re a director at a local food bank. A pandemic hits and the country goes into lockdown. Demand for your services triples overnight, but your staffing doesn’t. Your team is exhausted, overwhelmed and stretched to the limit — but lives depend on your ability to deliver. The good news? Americans are ready to help: In 2022, nearly three out of every five American donors gave half or more of their total contributions to disaster relief.
Yet generosity alone isn’t enough when disaster strikes at scale. Without the right support systems in place, efforts to make meaningful changes can fall short. Nonprofits across the U.S. are struggling to respond to rising community needs with limited resources, often with heartbreaking consequences. Fewer families are fed, fewer vital services reach communities and organizations feel stretched too thin to achieve their missions.
Fortunately, nonprofits don’t have to keep operating this way. It’s long past time for technology to work for nonprofits instead of burdening them with added complexity. The real promise of artificial intelligence — particularly agentic AI — is not just efficiency, but the removal of barriers that slow down fundraising, service delivery and impact measurement. When used wisely, these tools can shift organizations away from reactive, manual workflows and toward proactive, mission-driven action.
Here are four ways agentic AI can help nonprofits trade in spreadsheets and bottlenecks for clarity, connection and greater capacity to focus on what matters most.
1. Identifying More Potential Grant Applications
The grant process is both time-consuming and critical for nonprofit leaders. About 30% of U.S. nonprofits rely on government grants, but these vital funds are increasingly at risk due to federal budget cuts.
Securing grants is critical to sustaining work. While large grants may seem like the most efficient route, federal grant applications have a 25% success rate and provide only 15% of the requested aid, according to data from Instrumentl. Meanwhile, the same data set shows that state and local government grants — which are typically smaller — have a 52% success rate.
To raise more overall, organizations should pursue multiple smaller grants. The challenge is many nonprofits lack the internal capacity to manage a high volume of applications.
This is where agentic AI can help. Acting as a tireless assistant with human oversight, nonprofits can automate the search process by using this technology to scan thousands of funding sources, expanding their capacity to find relevant opportunities.
With AI handling the busywork, teams can focus on what matters most — building meaningful relationships and staying connected to the human side of their mission.
2. Clarifying and Communicating Impact
With 57% of people trusting nonprofits and 78% of people saying they must trust an organization before supporting them, trust continues to be the cornerstone of successful, transformational relationships between nonprofits and their donors.
But measuring impact has always been a challenge for nonprofits, though it remains key. Data shows that 75% of people look for concrete evidence of a nonprofit’s impact before deciding where to give — highlighting the value of impact reporting.
Concepts like theories of change, outcomes versus outputs and long-term social return are critical, but they’re also abstract, time-intensive and often buried in messy or siloed data.
Agentic AI doesn’t magically solve this, but it can help. By scanning large volumes of qualitative and quantitative data — from program reports and donor notes to survey feedback — AI can assist staff in surfacing patterns, highlighting signals of success and building the evidence base that shows which services are truly delivering outcomes for a community. It’s a tool to help people navigate the complexity of impact, not shortcut it.
Clear and measurable results strengthen trust and encourage continued support from both current and future donors.
3. Engaging New Donors While Nurturing Existing Relationships
Years ago, I was investigating what seemed like a simple problem: A donor claimed they were receiving multiple copies of the same mailing. But what was found was anything but simple. There were offices receiving entire stacks of mail, families spanning generations at one address with slightly different name formats and apartment buildings with addresses listed five different ways depending on which field someone used.
That was just one system. Today, most nonprofits rely on multiple platforms — CRMs, email providers, event tools and peer-to-peer systems — each holding fragmented pieces of a donor’s identity.
Agentic AI won’t fix messy data overnight, but it can help identify patterns, fuzzy matches and connections between records with a level of precision that’s otherwise impossible at scale.
Agentic AI also gives fundraisers smarter tools to improve stewardship at scale. By connecting disparate data sources and flagging inconsistencies, it helps ensure each donor’s history and preferences shape how they’re engaged. This goes beyond personalization — it’s about precision and respect. When used thoughtfully, AI empowers nonprofits to build trust at every touch point, turning every message into a relationship-strengthening opportunity.
4. Optimizing Outreach at the Right Place and Right Time
The optimal donation ask is personal to everyone, and agentic AI allows nonprofits to leverage these insights like never before. Though studies have varying conclusions, emails typically drive the best results during the middle of the week, and early follow-ups are crucial. And sending your donors a personalized message after they make a gift can help boost retention.
Sometimes, asking for more leads to better results — and that’s where the blend of science and art truly comes alive. Agentic AI helps identify what a donor is most likely to respond to, while fundraisers apply the nuance and creativity needed to make the ask feel authentic. By using AI to time outreach and tailor asks, nonprofits can more effectively engage new donors and deepen relationships with existing ones, boosting both short-term contributions and long-term loyalty.
Garnering these data-backed insights is not possible with manual tools. Agentic AI creates optimized asks in minutes, not months, turning data into action and personalization into progress.
Some worry that agentic AI might replace the human touch, but in reality, it enhances the aspects that make nonprofit work deeply human. It empowers staff to step away from screens and spreadsheets and do what AI can’t: amplify the mission through social connection and community.
Moreover, agentic AI — done right — knows when to involve humans, striking a balance between efficiency and human decision-making and ensuring critical data is protected while tasks are handled with the necessary oversight. Whether managing a grassroots initiative or a large nonprofit, technology can help prioritize what matters most.
The preceding content was provided by a contributor unaffiliated with NonProfit PRO. The views expressed within may not directly reflect the thoughts or opinions of the staff of NonProfit PRO.
Related story: 5 Ways Nonprofits Can Use AI for Better Fundraising

Ben Miller is the senior vice president of data science and analytics at Bonterra, a social good software company focused on powering those who power social impact.