Whitelabel
People-First AI Fund

Building in the Open

What a cohort of OpenAI People-First AI Fund grantees learned by building together

From the cohortOpenAI Foundation · People-First AI Fund
Convened byWhitelabel with the AI for Non-Profits Network
StatusSessions 1–4, March–October 2026 · Working draft v0.6
A partnership between
WhitelabelSocial CreaturesIt Gets Better ProjectThe Forbes FundsSEAL Future FoundationThe Women's BuildingPublic Health AdvocatesOnly7SecondsVeterans for All VotersSALDEFSpringboard to OpportunitiesAI for Non-Profits NetworkMidtown Utica Community CenterCity Heights Community Development CorporationVIDA — Valley Initiative for Development and AdvancementThe Boston Project MinistriesHollywood 4WRD
01The short version
Building in the OpenWhitelabel · AI for Non-Profits Network
01

The short version.

Six findings came up often enough, and from enough different corners of the room, that they stopped being anecdotes. They are the spine of this paper. Each becomes a chapter.

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The first build is usually a misunderstanding. Before anyone ships anything, they have to settle an argument inside their own organization about what AI even is. Comprehension is the binding constraint. Capability rarely is.

02

Every project hits the same wall, and the wall is trust. Different missions, same two questions. Where does sensitive data live, and what does an AI say to a person who is not okay at 2 a.m. Several teams are solving the second question in parallel without knowing about each other.

03

The tools are dissolving. The cohort is drifting off packaged software toward bespoke, internally built tools, and discovering it needs a new kind of person to operate them. Close to the mission, fluent with the machine.

04

"Time saved" is the wrong scoreboard. Efficiency that backfills with more work misses the point. The real question is what the time is for. That question exposes what a leadership team actually values.

05

You build trust by being honest, not by selling. The organizations getting buy-in are admitting trade-offs out loud and putting the people they serve inside the design process.

06

The cohort treats "good actor" as a claim that has to be tested. Learning in the open, and lifting the organizations who were never in the room, is how the claim gets earned.

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02Why this paper exists
Building in the OpenWhitelabel · AI for Non-Profits Network
02

Why this paper exists

Put a postpartum mental-health team, an LGBTQ+ youth charity, a public-health advocacy group, a Navy SEAL transition foundation and a gender-equity organization on the same call and ask them what is hard about building with AI. You would expect different answers. However, they gave more or less the same one; trust, culture, and not knowing what the reclaimed time is actually for. No amount of funding can answer this question, and this is why a small group of grantee organizations decided to stop trying to answer this alone and instead unite on shared values.

In December 2025 the OpenAI Foundation announced the first wave of its People-First AI Fund, $40.5 million in unrestricted grants to 208 community nonprofits across the US. The organizations in this paper are a self-organized group from within that cohort. We meet every two months, convened by Whitelabel alongside the AI for Non-Profits Network, a weekly briefing that reaches more than 4,000 nonprofit leaders. Whitelabel is also a participant in its own right, as it builds a postpartum app with Social Creatures under the same grant program.

A note on method.The sessions are conversations rather than presentations, kept deliberately loose so that attendees discuss what is actually going wrong rather than give a polished update. Those who do share a demo also come with questions for the group, and from there everyone works together on the struggles they share; trust, culture and what to do with the time AI frees up. This paper pulls together what was said, with quotes taken from the recorded transcripts and lightly edited for readability.

A note on neutrality

While Whitelabel convenes the network, this paper is meant to be just as useful to a leader who has never heard of us. Any products or platforms mentioned are there because a participant brought them up from their own experience, not as recommendations.

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