Greene Comply + OpenAI
Let OpenAI agents take real-world actions without giving up budget controls, human approvals, or audit trails.
The problem this solves.
The integration flow.
- 01
Agent decides to spend
Your OpenAI agent reaches a tool call that involves a payment, API top-up, or vendor charge.
- 02
Authorize through Greene
The agent posts the spend intent (amount, vendor, context) to the Greene authorization endpoint.
- 03
Policy + identity check
Greene evaluates identity, period budget, vendor rules, and approval thresholds — in milliseconds.
- 04
Approved transactions proceed
The agent passes the signed authorization to the payment rail it already uses. Denied requests return reason codes the agent can act on.
- 05
Every decision is auditable
Approvals, denials, and human-held requests appear in your inbox and immutable audit log.
What Greene controls vs. what OpenAI handles.
- Spend limits and policy enforcement
- Vendor allow / deny rules
- Human approval gates
- Identity anchor (KYC / KYB / KYA)
- Signed audit trail
- Model orchestration and reasoning
- Agent intelligence and tool calling
- Memory and context management
- Function-calling schemas
Use cases and who benefits.
- SaaS and API procurement agents
- Cloud resource provisioning agents
- Per-tool API cost control
- Long-running research and ops agents
One API call before any spend — no rewrites required.
Hard budget caps and vendor controls per agent or workload.
Identity-anchored decisions and a signed audit trail for every action.
KYB and KYA evidence that maps every spend to a verified entity.
Ship governed agent spend on this stack.
- 01Create a sandbox account and seed the demo policy context.
- 02Mint a delegate token bound to your agent.
- 03wrap your existing payment tool call with a Greene authorization request.
- 04Move from sandbox to live keys when ready.
- 05Optional: install the official Greene Comply MCP server (`packages/greene-mcp`) and register it in Cursor or Claude Desktop — see Developers for env vars and tools.