AFP Complimentary Webinar: From Promise to Practice - Change Management in AI Adoption (Part 1)

1:00-2:00 PM Eastern | Presenters: Kathy Phelps and Scott Rosenkrans

Join the team from DonorSearch for Part 1 of this two-part AI webinar series. See details about Part 2: Lessons from the GenAI Divide - Avoiding Failure, Scaling Success.

What You'll Learn:

• Reframe AI adoption as organizational change by applying change management principles to foster trust, staff empowerment, and cultural readiness.
• Evaluate nonprofit fundraising use cases such as predictive modeling and portfolio optimization to understand how AI can reduce costs, increase revenue, and improve staff efficiency.
• Connect AI strategies to mission outcomes by aligning people, processes, and technology for sustainable fundraising impact.

Sponsored by:

PLEASE NOTE: BY REGISTERING FOR THIS WEBINAR YOU AGREE TO HAVE YOUR CONTACT INFORMATION, INCLUDING E-MAIL ADDRESS, SHARED WITH DONORSEARCH FOR THE PURPOSE OF FOLLOWING UP ON YOUR INTERESTS.

Presenters:

Kathy Phelps is the Associate Vice President for DonorSearch AI at DonorSearch, where she helps nonprofit organizations harness the power of predictive machine learning to drive more strategic and effective fundraising. A lifelong nonprofit professional, Kathy brings deep expertise in turning data into actionable insights that support fundraising, prospect development, and program implementation. With a strong focus on the human side of technology, Kathy is especially interested in how people and behavior change influence the adoption and success of technology initiatives.

Scott Rosenkrans is the Vice President of AI Innovation and has been with the organization for four years. He began his journey in the nonprofit sector twelve years ago as a prospect researcher. He quickly became fascinated with data as he noticed the organization that he previously worked for was amassing a wealth of information but was unsure how to efficiently use the data and resources to its full potential. This led him to become interested in predictive modeling and data analytics. During this time, he began to create an immense commitment to delivering tailor-made machine learning models to nonprofits.