About
Why this site exists
AI can help nonprofit teams work better, but only if leaders can approach it with clarity, judgment, and responsible guardrails.
This site was created to help nonprofit leaders make sense of AI in a way that is practical, calm, and useful. The goal is not to push more tools. The goal is to help leaders understand where AI can genuinely help, where it can create risk, and how to start small without losing trust, judgment, or mission focus.
The intended audience is the nonprofit leader who may not be technical, may already be experimenting a little, and wants a better way to think about adoption than hype, fear, or scattered advice.
This resource hub also supports my presentation, "AI and the Nonprofit Leader: Rethinking How We Work," delivered at the OU Women's Leadership Collective 2026. The presentation helped spark the project, but the site is meant to stand on its own as an ongoing resource.
About Meir
Meir Naiman is the Chief Technology Officer of Emerest and Royal Care, where he leads technology across complex, multi-state healthcare organizations. His background spans software development, data systems, security, and applied machine learning.
He also works directly with nonprofit and mission-driven leaders navigating technology decisions in high-trust environments where judgment, privacy, and operational reality matter.
How this site is curated
The recommendations here are based on practical use, operator judgment, and what is most useful for nonprofit leaders early in adoption.
Tools listed on this site are included because they are relevant to the topic, not because of paid placement. The strongest advice on this site is still to start with the problem, not with the tool.
A simple philosophy
Start with low-risk, high-value use cases. Protect sensitive data. Keep human review strong where relationships and trust matter most. Build confidence before expanding.
If you are just starting, use the Start Here page. If you want to talk directly, use the contact form.