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Why now: The adoption gap
In the TechSoup/Tapp benchmark, ~76% of nonprofits report they do not have an AI strategy, ~26% are not using AI at all, and only ~7% report successful adoption—proving the biggest need is simply structured onboarding with guardrails.
Teams use generative AI for content and admin tasks, but this introduces new risks—privacy slip-ups, hallucinations, bias, and erosion of trust with funders and communities. We help you implement the practical policy, training, and governance that lets staff explore safely.
What we do: Practical, safe, stepwise adoption
We help nonprofits adopt AI responsibly—without creating new risks. Our approach is policy-first, then pilot: install a responsible-use policy and data handling norms, so staff can explore safely rather than use tools in the shadows.
We deliver education that fits real nonprofit workflows. Training is based on common operational use cases like drafting, summarizing, and automating admin, and builds essential skills with a human-centered approach.
Our pilots focus on high ROI, low risk. We work with your team on both internal and, where appropriate, external pilots—always keeping human review where it matters and defining ‘do not use AI’ areas for high-stakes decisions.
Offer Stack
Responsible AI Starter Kit: Policy for staff and volunteers, approved tools, data classification guidelines, and board-ready risk summary. (2–3 weeks)
AI Use-Case Sprint: Identify 2–3 low risk, high value pilots for workflow automation and reporting. (3–4 weeks) Pilot Implementation: Launch your internal pilot, with human review and guardrails. (6–10 weeks)
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