Your grantees are using AI. Almost none of them are getting mission value from it. We close that gap — ten organizations at a time, with shipped implementations, not advice.
Figures: Virtuous + Fundraising.AI, February 2026 survey of leaders at 346 nonprofits — a vendor-conducted study; these exact figures are specific to this survey.
Per organization: $11,000 / $6,500 — against funder-paid AI programs like Mozilla's Democracy x AI cohort ($50,000 per project, 2026) and GitLab Foundation's AI for Economic Opportunity Fund ($250,000 per organization, 2026).
We don't amplify the noise. We select the few things worth your grantees' attention, verify them, and stand behind them.
The implementation sprint is the product. The audit is the diagnostic that sells it. Recommendations without implementation are not on the menu.
Built for the director who is also the bookkeeper. If a grantee has to ask what something means, we failed before they asked.
Every sprint ships with a measurement of hours saved. The 6-month outcomes report is your evidence base for cohort two — presented, not emailed.
Select. You choose ten grantees; we help set the criteria. Conversations, not applications.
Diagnose. Audits run in waves over four weeks. Every org gets a board-readable roadmap — and one circled sprint recommendation.
Ship. Sprints deploy over eight weeks. Voice pilots go live for the orgs with real call volume.
Prove. Month six: the outcomes report — hours saved, workflows adopted, the case for cohort two.
Anthropic's September 2026 economic scenarios — a model, not a forecast — put it plainly: under "substantial" AI-driven change, knowledge-worker wages stay flat while the gains concentrate. The question for philanthropy isn't whether AI arrives — it's who participates, and on what terms. A cohort is a way to make sure your grantees are builders and owners, not just users.
We don't do grant applications for this. We talk first — about your grantees, your goals, and whether a cohort fits.
Contact the program