AI isn’t going anywhere. But your nonprofit still gets to decide how it shows up.
The Skeleton Key Data Practice hosted a free, live panel discussion on AI for nonprofits on March 19th, 2026. The discussion explored what it means to assess your organization’s readiness, how to build internal alignment before (or alongside) adoption, and where the most meaningful risks and opportunities tend to live for mission-driven organizations right now.
Some of the best advice on AI turns out to be great advice on data governance and people management, too. Here are some takeaways from the discussion.
Panelists:
Jasmine Daly is the Principal Consultant & Founder of Daly Analytics, a fractional data & AI consulting firm that delivers technology strategy, implementation, and training to mission-driven organizations. She builds human-centered decision systems—including custom dashboards, predictive models, and AI training programs—that help nonprofits make better, fairer, and more confident choices with their data.
Richard Liebowitz leads Skeleton Key’s Data Practice as part of the leadership team, where he helps nonprofits unlock the full potential of their fundraising data, and build towards the future of fundraising analytics. He partners with mission-driven organizations to make their data transparent, actionable, and aligned with their values, designing solutions that position development teams to adapt, grow, and lead in a rapidly evolving landscape. By connecting modern data practices with the realities of nonprofit work, he ensures that data strategies not only meet today’s needs but also prepare organizations for what’s next.
Bruna Martins holds an MBA in Business Management, complemented by executive certifications in AI Ethics, Regulation and Compliance from Oxford’s Saïd Business School and Product Strategy from Northwestern Kellogg. As Director of Tecer Digital, she leads the AI Literacy Lab initiative, which through practical advice, hands-on training and ongoing support, ensures that civil society organisations can make informed choices about engaging with AI effectively and responsibly. With over a decade in senior leadership across technology, marketing, publishing and the non-profit sector, she brings a blend of technical, strategic and communications expertise that she now applies to some of the most pressing challenges in AI governance.
Erika Salomon empowers organizations to use their operational data to improve internal operations and service delivery. With over 10 years of experience, they specialize in data modeling, defining and reporting key metrics, predictive analytics, experimentation, and causal inference. Their broad experience spans a variety of sectors and partnership models, including strategic engagements with nonprofits (e.g., optimizing data pipelines for Planned Parenthood), academic institutions (e.g., advancing research capabilities for CMU), local governments (e.g., supporting personalized, supportive diversion programs for Los Angeles), and social enterprises (e.g., scaling educational impact for eSpark).
