AgentPayOps
Control plane for autonomous AI spend. An invoice agent attempts a paid vendor-risk report, hits an X402 challenge, the policy engine decides approve/escalate/block, and every reasoning step is logged for finance teams.
The brief.
Control plane for autonomous AI spend. An invoice agent attempts a paid vendor-risk report, hits an X402 challenge, the policy engine decides approve/escalate/block, and every reasoning step is logged for finance teams.
The problem
Autonomous agents that can spend money are powerful and terrifying. Finance teams need a control plane before they'll let an agent touch a payment.
What I built
A control plane for autonomous AI spend. An invoice agent attempts a paid vendor-risk report, hits an X402 payment challenge, and a policy engine decides approve, escalate, or block — logging every reasoning step for finance to audit later.
The result
Three clean outcomes (approve / escalate / block), programmable payments via X402, and an audit trail on every decision. It's the pattern that makes agentic payments safe enough to actually deploy.
This is the guardrail-and-human-in-the-loop thinking I bring to every AI build. See more live agents in the AI Lab.
“Anil has the best talent for Webflow, both for conversions and especially for third-party integrations.”
