This article is part of my submission to the H0: Hack the Zero Stack hackathon, in the Monetizable B2B App track.
Most "AI apps" treat the model as a stateless add-on: a chat UI tacked onto a CRUD app, calls billed to an API key the developer hopes nobody finds. The database stores the chat history; everything interesting happens outside it.
For a B2B SaaS where the AI writes financial records, drafts livestock medical notes, and creates operational tasks on behalf of paying customers, that approach fails. You need governance: who asked the AI, what tool it called, what it tried to write, what it actually wrote, how many credits it consumed, who approved the draft, who rejected it, why. All of this must be auditable weeks later, scoped per-tenant, and enforceable at the database level — not at the API layer hoping the model never hallucinates a missing tenant ID.
This article walks through the governance schema I built into FarmOps Desk for the H0 hackathon, and the two patterns that make it work: atomic credit reservation and per-farm autonomy tiers.
The thesis
