The AI-Reality Check: Principles for Responsible Innovation in Fundraising

<p>Are stretched-thin development teams rushing into AI automation at the cost of donor trust and data privacy?</p><p><br></p><p>While generative tools offer relief for overworked staff, unvetted workflows risk exposing sensitive profiles and damaging supporter relationships.</p><p><br></p><p>Katrina Seidel, Chief Growth Officer at Vera Solutions, joins The Nonprofit Boost to share actionable frameworks for responsible AI adoption.</p><p><br></p><p>Katrina explains how nonprofits can streamline donor reporting while keeping a &quot;human in the loop&quot; co-pilot strategy.</p><p><br></p><p>Discover how combining strict governance, smart prospect research tools, and authentic donor stewardship allows teams to scale impact, protect privacy, and capture more revenue through automated matching gifts.</p><p><br></p><p>What You Will Learn</p><p>1. Practical AI Automation: Learn how Model Context Protocols (MCPs) automate complex donor reporting while preserving human oversight.</p><p>2. Data Privacy &amp; Governance: Protect proprietary donor data by establishing enterprise agreements and an internal AI Center of Excellence.</p><p>3. Co-Pilot Workflows: Master a human-in-the-loop approach to draft corporate pitches faster without sacrificing personal connections.</p><p>4. Ethical AI Disclosure: Maintain radical transparency with supporters to improve long-term donor retention.</p><p><br></p><p>Also available on Youtube.</p>