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Can AI Agents Be Trusted to Move Money? A Look at On-Chain Mandates

“Can AI agents be trusted to move money?” is the wrong question. Models are probabilistic; they will occasionally be wrong. The right question is: can we bound and prove what an agent is allowed to do, so that being wrong doesn’t become being expensive?

That’s a systems problem, and it has a good answer.

Trust comes from constraints, not confidence

You don’t trust a junior employee with the company account because they’re smart — you trust the controls around them: limits, approvals, and a paper trail. The same logic applies to agents. The safeguards are:

  • Bounded authority. A signed mandate caps what the agent can spend and for what.
  • Verified parties. Both the agent’s principal and the counterparty are identity-checked.
  • An audit trail. Every decision and payment is recorded immutably.

Why “on-chain” matters here

A mandate stored only in your database is a promise. A mandate signed and anchored on-chain is evidence: tamper-evident, timestamped, and verifiable by anyone — including the merchant being paid and an auditor reviewing the transaction later.

On-chain attestation turns an agent’s authority from “trust us” into “verify it yourself.” That’s the difference that makes agentic commerce acceptable to compliance teams, not just engineers.

How Hamirach does it

Hamirach verifies the identity of both users and AI agents, and anchors signed mandates and contracts on-chain (Monad) via Rillis. Combined with enforced spend tiers and an immutable trail, an agent gets exactly the authority you grant it — no more — and you can prove it.

Trust, in other words, is engineered. See it in AI-Agent Payments, or book a demo.