Let's put AI to work.
A practical roadmap, the policy to govern it, and staff who know how to use it well.
What it looks like from the inside
Half your staff is already using AI and not telling you. The other half is worried it will replace them. Someone has pasted a donor list into a public chatbot, and nobody knows it. The board has asked for “an AI strategy” and you're not sure what that means for an organization your size. And meanwhile, when someone asks an AI assistant about your cause in your city, it names three other organizations.
What it's costing you
Two things at once. Risk, because AI use without a policy is a data problem waiting to become a headline. And opportunity, because the same tools, used well, take the grant draft from three days to one, the donor research from hours to minutes, and the meeting notes off your plate entirely. Most nonprofits are carrying the risk and missing the opportunity.
What fixed looks like
A one-page AI policy your board signs and your staff can actually follow. Training that makes people better at their jobs instead of nervous. Workflows built for your actual work: grants, research, stewardship, reporting. And your organization showing up, accurately, when someone asks an AI what you do and why it matters.
How we work on it
We build AI-native software for nonprofits, so this isn't a slide deck for us. Get a plan: an AI readiness assessment with a roadmap sized to your team. Get it built: the policy, the training, the custom workflows, and the work that makes you discoverable in AI search and chat answers. Get a team: ongoing support as the tools change, which they will.
- AI readiness assessment and roadmap
- AI policy and governance for nonprofits
- Staff training on AI for writing, research, and donor communications
- Custom AI workflows for fundraising and operations
- AEO/GEO: making your organization discoverable in AI search and chat answers