Nonprofit AI by Nathan Chappell & Scott Rosenkrans

Author:Nathan Chappell & Scott Rosenkrans [Chappell, Nathan & Rosenkrans, Scott]
Language: eng
Format: epub
ISBN: 9781394316656
Publisher: Wiley
Published: 2025-05-06T00:00:00+00:00

Setting Up a Multidisciplinary Team for Success

We cannot over‐emphasize that AI adoption is not solely an IT function. In large part, due to the distributed and iterative nature of AI, the purchase and assimilation of AI within a nonprofit organization should look very different from other static hardware or software solutions that change only incrementally through systematized updates. The iterative nature of AI, which is a direct result of the exponential nature in which AI improves itself, is a foundational change from how most organizations have used and evaluated solutions for the past several decades. AI adoption in nonprofits requires a collaborative, cross‐functional approach that ensures the technology is integrated thoughtfully and strategically. Again, it's not just the responsibility of IT or data specialists but a holistic effort that involves key players across various roles. By creating a multidisciplinary team, nonprofits can harness the strengths of diverse skill sets to maximize the impact of AI while ensuring it aligns with the mission. Each role within the team brings unique expertise and is vital to the overall success of leveraging AI.

Every organization is different, and size will determine the number of stakeholders included. Here's a breakdown of some of the key roles and their expected contributions in a multidisciplinary AI team for nonprofits:

FundraisersRole: Fundraisers are at the forefront of donor engagement, and their role in the AI team is to explore how AI can enhance donor outreach, segmentation, and retention. AI allows fundraisers to personalize communications and predict donor behavior using data‐driven insights. AI‐driven models can help identify potential major donors, automate thank‐you messages, and tailor campaigns based on donor preferences and history. Contribution: By leveraging AI, fundraisers can work more efficiently, focusing on high‐value relationships rather than repetitive tasks. Their expertise ensures AI tools are applied in ways that nurture donor trust and deepen engagement, ensuring the organization's long‐term financial health.

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