Published Date, 2025

How Nonprofits Can Use AI and Automation to Reclaim Time and Realize ROI

Created By: Terry Cangelosi
May 20, 2025

If someone handed you the blueprint for your new house or gave you that same house already 80% built, which would you choose? Most of us would pick the nearly finished home. The hard work of designing, framing, and installing systems is already done. What’s left are the personal touches: paint colors, furniture, and final walkthroughs, but you’re not starting from zero; you’re building on a foundation that’s already in place.

That is the promise of AI and automation in nonprofit workflows. It’s not about replacing a role or roles, but rather it’s about accelerating the ability to deliver results by getting to the final product faster, so energy can be focused where it matters.

Despite this potential, only 2% of nonprofits have fully integrated AI, according to a recent report highlighted by NonProfit PRO. For organizations with limited time and growing demands, that gap isn’t surprising, but it does highlight a missed opportunity: turning static workflows into ROI engines. When multiple workflow steps can be automated, staff can reinvest that saved time into the strategic, creative, and relationship-driven work that delivers the highest return on investment.

Let’s look at some examples of AI and automation in action in the nonprofit space.

Example 1: Automating Donor Research Profiles

A recurring step in a nonprofit’s fundraising efforts, creating a comprehensive donor profile often involves multiple systems, repetitive data pulls, and a lot of formatting. It’s important work, but it follows a repeatable pattern. Using a combination of AI and automation, a near-complete profile with relevant giving history, capacity indicators, and bios can be drafted into a single format.

By automating the data pulls, using AI to conduct research, and integrating that data directly into the CRM, your team cuts prep time dramatically. What used to take hours now takes minutes. The development officer still reviews and customizes the final product, but they start around 80% completion, not zero. The result? Faster outreach, higher confidence, and more time focused on cultivation, not copy-and-pasting.

Example 2: Automating New Donor Stewardship

Similarly, consider the welcome journey for a first-time donor. Instead of waiting for manual entry or delayed reporting, automation can instantly log the gift, screen the donor for capacity, trigger a welcome email, and update the CRM, all in an instant.

That kind of speed does not just impress, it ensures that no opportunity is missed and lets development officers prioritize follow-up where it matters most. This is not about cutting people out of the process. It’s about getting the right people involved as quickly and effectively as possible.

Why This Matters for ROI

Every nonprofit has heard the phrase “do more with less.” AI and automation make this possible, not by stretching teams thinner, but by freeing team members from the tedium to focus on higher-return activities.

Here is where the ROI becomes tangible:

  • Time saved = more meaningful interactions.
  • Faster execution = increased responsiveness.
  • Cleaner data = better targeting and reporting.

Even small changes, like automating one of your team’s workflows or integrating AI into donor research, can compound over time, multiplying the return on your staff’s energy and effort. It’s all about taking the first steps to drive transformation with strategic AI implementation.

Realizing the ROI

Nonprofits do not need an enterprise AI tool or a six-figure tech investment to start seeing results. They can find where their team spends time on repeatable, low-value tasks, and use AI and automation to help get the team to 80% (or 60% or even 30%). 

Watch what happens when your staff can refocus saved time on things that drive your mission or fundraising goals. The ROI of AI and automation starts growing the moment you stop manually doing what a machine could handle, and your team gets to work on the things that only they can do.

At Orr Group, we’re enthusiastic about the future of AI and hope to share that enthusiasm with our nonprofit partners. We are ready to assist your organization in assessing your workflows and implementing AI & automation into your fundraising and other operational efforts. Contact us to learn how we can help elevate your organization.


Terry Cangelosi is a Senior Director and Head of Operations at Orr Group. Terry brings 10+ years of nonprofit operations experience to ensure the most efficient operations in Orr Group’s workflows, technology, and infrastructure. Terry is a member of Orr Group’s AI Taskforce.

Related Resources

AI for Nonprofits: 10 Tools and Best Practices to Know

Published Date 2025
AI for Nonprofits: 10 Tools and Best Practices to Know

Created by: CJ Orr May 19, 2025 In today’s technologically driven world, artificial intelligence (AI) has transformed various industries, including fundraising for nonprofit organizations. AI tools have proven to be significant game-changers, enhancing efficiency, creativity, and personalization in donor engagement. To capitalize on these opportunities, over 60% of nonprofits have started embracing AI in their operations. However, despite these high adoption rates, 92% of nonprofits feel unprepared for AI implementation. To prepare your team to fully leverage AI, let’s understand the landscape and discuss the benefits and challenges of using popular AI-powered tools in nonprofit work. Overview of AI for Nonprofits Leveraging AI: Best Practices for Nonprofits Top AI Tools for Nonprofits Overview of AI for Nonprofits What is AI? AI is any technology that can perform intricate tasks and mimic human intelligence. While AI has become a hot topic in recent years, it’s been around for a while, performing simpler duties like sorting emails or scheduling appointments. However, recent advancements in AI have allowed machines to better understand language, process more complex tasks, and generate original content. In the nonprofit world, organizations typically use AI to enhance and streamline: Prospecting and fundraising by analyzing existing donor data for trends, and identifying new prospects with high potential to give Donor communication by analyzing donors based on shared characteristics and tailoring outreach to them for increased engagement Grant writing by quickly reading applications and generating drafts responses, based on previous applications and organizational materials Human resources by automating interview scheduling, onboarding, training, performance management, and more Graphic design by creating visually appealing infographics or mockups Administrative functions by automating repetitive tasks like data entry, timekeeping,  and record maintenance Data insights and reporting by analyzing large datasets to forecast trends and enable better decision-making Types of AI Tools for Nonprofits The library of AI tools is vast and ever-growing. While each organization may have its own needs and goals that AI can support, below are several common types of AI tools you may encounter: Generative AI: consists of machines that create new content based on user prompts and training data. Nonprofit applications: Content creation for grant proposals, social media posts, and impact reports. Large Language Models (LLMs): systems designed to understand and generate human language by learning from vast datasets. LLMs are a subset of generative AI focused primarily on creating and understanding text. Nonprofit applications: Automatically answering routine questions via chatbots or summarizing content. Predictive AI uses statistical models and machine learning to identify patterns in large datasets to forecast future outcomes.  Nonprofit applications: Prospecting for fundraising and future financial growth. Advantages and Challenges of Using AI Advantages Increased efficiency. With AI handling mundane tasks, nonprofits can focus on more pressing mission-critical work. Easy data reporting. Humans are more prone to making errors when reporting on and analyzing data. AI can easily—and accurately—report on important data. Better decision-making. AI can provide context and information that allows nonprofits to make more informed choices faster. Scalability. Advanced AI solutions can easily adapt to a growing nonprofit’s needs, enabling organizations to handle increased workloads without overburdening staff.  Proactive growth. Most nonprofits have adopted AI, and it’s only getting more prevalent. Your nonprofit should leverage similar technology to keep up with others in the field. Challenges Data privacy/security. Nonprofits must confirm that their chosen solution complies with relevant data privacy laws, like GDPR and CCPA, to keep supporter data safe and maintain their trust. Research which regulations apply to your constituents based on their location, and ensure that AI usage is transparently communicated when necessary. Requires human oversight. AI can make mistakes in researching and synthesizing information, so nonprofit teams need to actively maintain their solutions (more on that later).  Initial and ongoing costs. Like any other software solution, AI solutions have costs associated with them, both financial and in time to implement and onboard staff.  Ethical concerns. AI can reinforce biases based on the datasets it's trained on. There are also concerns about Generative AI solutions trained on user data, which can plagiarize information from other sources. Loss of human touch. Nonprofit outreach relies on forging deep personal connections with supporters. While AI can emulate human thought, it lacks the emotional depth needed to reinforce relationships, so it still requires staff to ensure the final product aligns with an organization’s values. Leveraging AI: Best Practices for Nonprofits Establish parameters for AI privacy and ethics. Your entire team should be aligned on ethical best practices while using AI. Adopt an AI usage policy and supporting AI governance infrastructure to ensure you’re fulfilling promises to stakeholders and protecting their sensitive information. Identify areas for AI application. While AI has many different uses, your nonprofit doesn’t have to rely on it for everything. To start, identify a few pressing areas where AI could help your operations, like content creation, data analysis, or task automation.  Work with an expert to implement AI effectively. The stakes are high when implementing AI, so it’s worth consulting with a professional to cover all of your bases. Double-check AI’s work. While AI can generate human-like text, it’s not flawless. You must review and edit the generated content to ensure it aligns with your organization’s voice, mission, and fundraising goals. Properly train your team. AI can present a learning curve for teams, especially those less technologically advanced. Align everyone with comprehensive AI training and educational resources. Don’t completely replace human interaction with AI. As previously mentioned, AI can’t perfectly emulate your connections with supporters. Use AI to brainstorm ideas for communication (like an outline) and fill in the details yourself. Choosing the right AI systems, developing policies, and training your team are essential, but they take time and expert knowledge to get right. By working with a professional team like Orr Group, you can get up and running with new insights and ideal tools by your side.  Top AI Tools for Nonprofits General Use/LLM: ChatGPT Use: ChatGPT is an advanced language model that has significantly influenced the nonprofit sector’s fundraising strategies. It utilizes machine learning algorithms to generate human-like text based on the input it receives.  Best features: Live web search, DALL-E image generation, and access to a growing dataset. Cost:  Limited free tier $20 Plus tier $200 Pro tier $25/user Team tier Pro-tip: Eligible nonprofits can receive a 20% discount on ChatGPT Team and a 50% discount on ChatGPT Enterprise through OpenAI for Nonprofits.  AI Chatbot: Cody Use: Cody is a chatbot that uses organizational content to answer HR-related queries for employees based on defined knowledge sources. Best features: Easy user interface, customizable knowledge base, task automation, and specific features for IT support, business consulting, marketing, HR, and more. Cost: $29/month for the Basic tier, $249/month for the Advanced tier Writing: Grammarly Use: Grammarly is a browser extension that enhances grammar and generates written content. Best features: Tone suggestions, auto-completion of writing, and extensive user-supplemented knowledge base. Cost: Free tier, $12/month, $15/month Prospecting: Apollo Use: Apollo is a sourcing tool that collects contact information for prospective supporters. Best features: Automated outreach, meeting scheduler, and CRM enrichment tools. Cost: Free-$119/month Grantwriting: Grantable Use: Grantable is an LLM that automates aspects of the grantwriting and submission processes. Best features: Ability to train the system from writing samples, reference user-uploaded materials from a library, and include educational resources. Cost: Free-$89/month Graphic Design: Gamma Use: Gamma is a graphic design platform that facilitates the creation of presentations, documents, webpages, infographics, and more. Best features: AI-generated designs, customization options, and user-friendly interface. Cost: Free-$15/seat/month Administrative: Zapier Use: Zapier automates repetitive administrative tasks while connecting various apps and services. Best features: Configurable workflows, app integrations, and a large integration ecosystem. Cost: Free-$69/month Data Management: Microsoft Power BI Use: Microsoft Power BI is a Microsoft add-on tool that allows users to create reports, visualize data, and share insights. Can be combined with Microsoft Copilot 365 for AI data insights. Best features: User-friendly integrations with Microsoft Suite, interactive dashboards, and customizable reports. Cost: Free-$10/user/month Meeting Management: Zoom AI Companion Use: Zoom AI Companion simplifies meeting management by automatically completing tasks during the meeting. Best features: Real-time meeting transcriptions, agenda generation, and ability to assign next actions with a meeting summary. Cost: Free with paid Zoom account Now that you have a solid understanding of AI in the nonprofit world, it’s time to create and execute your own strategy! Developing policies, training your team, and staying updated on the newest best practices can be draining—but it doesn’t have to be. Having an expert team by your side allows you to play around with these tools, test them out, and see what works for you without compromising mission-critical activities. We suggest working with a team with a business-oriented mindset, embedded partnership approach, and AI-specific expertise, like Orr Group. Our well-rounded nonprofit experience and hands-on strategy can help your nonprofit become more comfortable with AI and develop a sustainable use policy in the long term. That way, you can adapt to the rapidly-changing world of AI with ease!