The authorization, trust, and audit control plane for agent-initiated spend. Set policy, hold risky spends for review, ship webhooks and team RBAC—prove every decision.
Hi, I’m Joseph, the solo founder of Greene Comply.
I’m a technical founder who built this because I got tired of watching AI agents operate with zero financial guardrails.
Two weeks ago I shipped the first version of Greene Comply after wanting to give my agents the ability to spend but not trusting that an agent wouldn't hallucinate and go off the rails. I realized most teams racing into agentic AI are completely exposed on the money side.
So I did what any solo dev would do — I started building nights and weekends while still working my 9-5. Greene Comply is the control layer for those experimenting with LangChain and CrewAI agents that touch real payment rails. One API call gives you:
Bulletproof policy enforcement
KYC/KYB identity anchoring
Human approvals when needed
Cryptographically signed audit logs
Full compatibility across payment providers
It’s built with the “boring but reliable” philosophy: default deny, explicit allow, and everything traceable.
I’m still very early — zero users, lots of learning, and figuring out marketing as I go. But I’m shipping fast and sharing the journey in public because that’s how real products get better.
If you’re building or deploying agents that spend money, I’d love your feedback. The sandbox is free. Break it, tell me what’s missing, and help me make this the default governance layer for agentic commerce. This is my first product and I'd love opinions.
Thanks for checking it out.
Let’s make agent spend safe.
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