Before an AI Agent Moves Money An AI agent recommending a transfer out of a company’s operating account needs to establish how much cash is available after upcoming obligations. Payroll, scheduled payments, and minimum liquidity requirements all affect the amount the business can move. For the treasury team approving that recommendation, the calculation matters. A transfer that looks reasonable against today’s balance could leave the account short when tomorrow’s payments clear. The agent’s explanation should identify the balances, obligations, and assumptions behind its recommendation. The underlying calculation should also be independently verifiable. That gives the reviewer evidence that the reported amount follows from the records and rules used to produce it. Space and Time makes this possible at the data layer. A treasury application can use SQL to calculate available cash from its records and return the result with a cryptographic proof. The recipient can verify that the query ran correctly against the committed data, without rerunning the calculation. In an agent-assisted workflow, that verified result can become an input to the recommendation. The agent might propose where to allocate cash, while the approvhttps://x.com/notificationsal process checks the calculation establishing how much is available to move. The treasury team still sets liquidity policy, maintains the underlying records, and decides whether to approve the transfer. Verification gives it a specific assurance within that process: the calculation was executed correctly against the data provided. As businesses give AI agents more responsibility, these checks can become part of the workflow itself. A transfer recommendation can arrive with a verifiable cash calculation attached, giving the approver something concrete to examine before money leaves the account.