Donor expectations are evolving faster than ever, and nonprofits that strategically harness AI in their development operations will lead the next fundraising revolution through hyper-personalized, relationship-centered engagement that respects donor privacy while dramatically increasing revenue.
This dynamic session moves beyond theoretical AI promises to deliver a practical, ethics-first playbook for using AI and automation across development operations: prospect research, segmentation, gift processing, acknowledgments, stewardship, and reporting. We will translate Orr Group’s “Nonprofit AI Journey” into a development operations context, focusing on what teams can implement quickly and what governance should be in place before scaling.
Expect concrete examples you can implement quickly: drafting first-pass donor outreach with human review, automating data movement between forms, spreadsheets, and your CRM, and using AI to summarize internal notes and approved public sources into meeting briefs. We will also cover what not to do, including where sensitive donor data should never be entered, and how to spot bias and hallucinations before they reach a donor. We will reference evidence on productivity gains from generative AI in real workplaces. We will also share a simple approach for estimating time saved and quality improved inside development workflows, and how to report those results to leadership
This isn't about replacing development professionals with robots; it's about empowering your team with intelligent insights and operational efficiency that free them to focus on meaningful donor connections. Organizations that leverage AI to identify and strategically engage these high-potential relationships, while streamlining backend operations will thrive in our increasingly competitive landscape.
Whether you're exploring AI for the first time or refining your development operations strategy, you'll leave with an actionable framework and real success metrics that make ethical, data-informed fundraising achievable for organizations of any size.
Learning Objectives:
Implement a Tiered AI Adoption Framework: Master a proven 3-phase approach for selecting, testing, and scaling AI tools across development operations—from donor data management to predictive analytics, starting with low-risk/high-impact applications like automated stewardship communications and gift acknowledgment workflows
Deploy an Ethical AI Policy/Governance Checklist: Receive a practical tool-evaluation checklist covering data minimization, vendor data handling, consent and transparency, bias checks, security controls, and documentation so your team can approve (or reject) tools consistently.
Build Board-Ready Fundraising Insights: Discover how AI can help you leverage existing data in your CRM to improve your development operations insights like identifying high-potential prospects, optimize engagement timing, and streamline operational bottlenecks.
