Note: a version of this content was originally written by Michelle for Sylogist and has been updated with new data and content.

We are at an inflection point. Workers want to use AI tools RIGHT NOW but leaders in both the for profit and nonprofit space worry that they won’t be able to demonstrate the impact AI has in objective terms and are leery to implement new technology without proper security and policy in place.

According to the 2024 Work Trend Index Annual Report from Microsoft and LinkedIn, use of generative AI has nearly doubled in the last six months with 75% of global workers reporting they use it. 

Users say AI helps them to:

Real-world Applications of AI for Nonprofits

AI can revolutionize the way nonprofits operate by providing powerful tools for financial management, enhancing transparency, and utilizing data for impactful storytelling. Here are some specific ways AI can help:

• • Financial Management: AI can automate financial reporting, reduce errors, and provide real-time insights into financial health.
  • Transparency: By automating data collection and analysis, AI enables nonprofits to create detailed and accurate reports for donors and stakeholders.
  • Data-Driven Storytelling: AI can analyze large datasets to identify trends and patterns, helping nonprofits craft compelling stories that highlight their impact.
  • Natural Language Processing: AI tools that understand natural language inputs make it easier for nonprofits to adopt and use these technologies without extensive training.

It may feel like there are huge barriers to entry when it comes to implementing AI tools at nonprofit organizations. There are the typical concerns anytime an organization implements new software and the unknowns about cost, data security, and if users will need extensive training. What you may not realize is that many of the tools and software you’re already using incorporate AI.

You’ve probably heard the most about stand-alone products like ChatGPT and Google Gemini which can come with a learning curve. However, if we look at Microsoft, applications like Word, Excel, and PowerPoint, each has features like predictive text, grammar and style suggestions, and even data insights. You’ve probably seen the design ideas sidebar pop up in PowerPoint. It gives you ready to use slide templates based on the content you’re laying out.

Google and Bing both use AI to enhance search results, improve user experience, and manage the vast amounts of data they process with each inquiry. AI-driven autocomplete suggestions help users to complete their queries quickly by predicting what they’re likely to type next.

Nonprofits that already use additional Microsoft products like Dynamics 365 have the option of adding Copilot. There’s a long list of functionalities, but some of the highlights for nonprofits include:

• • Grant Proposals and Reports: Copilot can assist in drafting grant proposals, reports, and other documents, ensuring they are well-written and formatted.
  • Marketing Materials: Create newsletters, social media posts, and promotional materials with AI-generated content, saving time and ensuring consistency.
  • Donor Management: Analyze donor data to identify trends, segment donor lists, and personalize communication strategies.
  • Task Automation: Automate routine tasks such as scheduling meetings, sending reminders, and managing to-do lists.
  • Budgeting and Forecasting: Assist in creating budgets, financial forecasts, and expense tracking.
  • Report Generation: Generate financial reports and summaries for board meetings and donor presentations.

AI Tools vs. AI Platforms

The examples above show how much we already use AI tools and help to illustrate that there are different approaches to using AI within your organization. There are single platforms like ChatGPT or Google Gemini, or there are software options that integrate AI tools and insights into other tools your organization already uses.

For nonprofit financial management, it’s ideal to find software that meets your needs for fund accounting, grant application and management, budgeting and forecasting, and reporting AND uses AI tools for data insights, content creation, and marketing.

Implementation

Implementing software with AI tools is generally easier than relying on a single AI platform. Some of the factors to consider include: flexibility, specialization, and integration capabilities. AI tools are often designed to address specific tasks or problems, allowing organizations to choose and combine the best solutions tailored to their needs. This modular approach provides greater flexibility in terms of functionality and scalability, enabling organizations to adapt quickly to changing requirements and integrate new capabilities as they evolve.

Specialized Tools

Specialized AI tools offer depth and expertise in particular areas, such as natural language processing, computer vision, or data analysis. These tools are typically developed and maintained by experts in the field, ensuring they incorporate the latest advancements and best practices. By leveraging a variety of specialized tools, organizations can achieve higher performance and more accurate results than they might with a general-purpose AI platform. This specialization allows for more precise and efficient solutions, ultimately leading to better outcomes.

Integration with Other Software

Integration is another significant advantage of using multiple AI tools. Modern software development often involves complex ecosystems of interconnected services and applications. AI tools are designed to integrate seamlessly with existing systems, APIs, and workflows, facilitating smooth implementation and reducing the time and effort required for deployment. This compatibility ensures that AI capabilities can be embedded into various aspects of the organization’s operations without the need for extensive reengineering or custom development.

In contrast, a single AI platform may impose limitations in terms of adaptability and specificity. While it may offer a broad range of functionalities, it might not provide the same level of expertise or performance in every area. Additionally, a single platform might require more extensive customization to fit the unique needs of the organization, leading to increased complexity and potential implementation challenges.

Security

Using software with AI tools built in is generally better for the security of nonprofit donor data for several reasons: enhanced threat detection, improved data management, real-time monitoring, and compliance support. These AI-driven security features can offer nonprofits a more robust and proactive defense against data breaches and cyber threats, which is crucial for protecting sensitive donor information.

Enhanced Threat Detection

AI tools embedded in software can analyze patterns and behaviors to detect anomalies that may indicate a security threat. These tools can identify unusual activities, such as unauthorized access attempts or suspicious data transfers, and alert administrators in real-time. This proactive approach helps to identify and mitigate potential security breaches before they cause significant harm, ensuring donor data remains protected.

Improved Data Management

AI-driven software can help manage and secure donor data more efficiently. These tools can automate the classification of sensitive information, ensuring that donor data is stored and handled appropriately. By automating data management tasks, nonprofits can reduce the risk of human error, which is often a significant factor in data breaches. AI tools can also enforce data access policies, ensuring that only authorized personnel can access sensitive information.

Real-Time Monitoring and Response

AI tools provide continuous monitoring of the organization’s digital environment, offering real-time insights into potential security issues. This constant vigilance allows nonprofits to respond quickly to threats, minimizing the window of opportunity for attackers. AI can also automate responses to certain types of threats, such as isolating compromised systems or blocking malicious IP addresses, further enhancing the organization’s security posture.

Compliance Support

Nonprofits must often comply with various data protection regulations, such as GDPR or CCPA. AI tools can assist in ensuring compliance by monitoring and enforcing data protection policies, generating audit logs, and providing insights into compliance status. This support helps nonprofits avoid costly fines and reputational damage associated with data breaches and regulatory violations.

By using software with built-in AI tools, nonprofits can benefit from advanced security features that are continuously updated to address emerging threats. Most nonprofits lack the resources to maintain the highest level of security for donor data, so working with a trusted software partner gives you access to infrastructure and policies that will keep your donor’s data safe.

Choosing software that leverages AI tools, rather than one AI platform, allows organizations to build more robust and efficient financial operations while avoiding the constraints of a one-size-fits-all platform.

Regardless of how AI develops over the next couple of years, nonprofits can’t afford to adopt a “wait-and-see” approach to implementing new AI tools.

Embracing AI tools now offers nonprofits a range of immediate and long-term benefits. From improving efficiency and decision-making to staying competitive and maximizing impact, AI has the potential to transform how nonprofits operate and achieve their goals. By adopting AI technologies proactively, nonprofits can ensure they are well-positioned to navigate the future and continue making a positive difference in their communities.