The mandate verification gap

Question answered: Why does this exist? Why can’t I solve this with card controls or approval workflows?

When a human authorizes a payment, the trust model is well understood. A consumer at checkout consents to a specific cart and amount. An employee spending company money is bound by policy, approvals, and contracts. In both cases, there is a verifiable link between what was authorized and what was paid.

When an AI agent spends autonomously, that link breaks.

Existing payment rails can decide whether a transaction may move — a card limit, a merchant lock, an approval threshold, an account permission. None of them can verify whether the agent bought the right thing, from the right counterparty, on the right terms. A $500 card limit doesn’t prevent the agent from spending $500 on the wrong item. A merchant lock doesn’t verify the product variant matches what the user asked for. An approval threshold doesn’t check delivery dates, contract terms, or substituted payees.

This is the mandate verification gap: the space between “the transaction is allowed to move” and “the transaction is what the user actually authorized.”

Platforms deploying agentic payments are forced to choose between brittle hardcoded guardrails, manual review of every transaction, or unbounded execution risk. None of these scale.

delta mandate closes the gap by inserting a policy check before payment release — not on the payment itself, but on the substance of what the agent is trying to do. The agent’s proposal is evaluated against the user’s signed intent, and the result is a verified pass or fail the platform acts on.