No payment form. The user just gives an outcome, workflow, or business objective.
Tell an AI what to do. CashCat governs the money behind it.
CashCat is the payment and spend control layer for AI agents. A user gives one task, the AI decides which paid resources are needed, and CashCat governs budget, approval, and proof before money moves.
The model decides what services, data, software, or compute should be acquired to finish the job.
Budget, approval, proof, and receipt are applied before money ever moves.
Agent run
The run starts when a user gives the AI a concrete outcome to achieve.
The model will explain what it wants to buy, why it needs it, and how much it expects to spend.
Start a run to see the AI parse the task, identify paid actions, and prepare a governed spend request.
The final result will show whether the payment was approved, sent to approval, or blocked before money moved.
After the governed payment step, the product should show what concrete output the workflow actually produced.
Run a task to see payment creation, policy checks, approval routing, and proof generation events.
View technical details
No output yet.
How CashCat works.
CashCat starts with digital spend like APIs, data, software, subscriptions, and cloud resources, but the system is built for any governed payment an AI agent is allowed to make.
The experience starts with a business objective, workflow, or operating task, not a payment form.
The model returns which paid resources are needed, why they matter, and what they should cost.
Budget, category, approval, and authority rules decide whether the spend can proceed.
The outcome is inspectable, auditable, and machine-verifiable for finance and ops teams.
The AI decides. CashCat governs.