Use Cases · Agent Commerce by CertifiedData
Autonomous AI procurement
When AI agents procure services, cloud resources, or tools autonomously, every spend decision needs to be governed, recorded, and verifiable. Agent Commerce provides the policy and receipt layer that makes autonomous procurement auditable.
The procurement challenge
Traditional procurement involves human approval. When agents procure autonomously, you need the equivalent layer of controls:
- -Spending limits enforced before execution, not audited after
- -Purpose tags that categorize what was procured
- -Human review escalation for large or unusual purchases
- -Signed receipts that prove what was actually bought
Agent Commerce provides all four. The policy engine enforces constraints before any procurement executes, and every transaction produces a signed receipt linked to the authorization decision.
Who this unblocks
Autonomous procurement stalls when finance, legal, or security can't verify what the agent did and why. Agent Commerce gives each stakeholder what they need to approve the workflow.
Finance
Signed receipts with amount, rail, and timestamp — audit-ready records without manual reconciliation.
Legal / compliance
Policy-gated spend means every purchase was evaluated against approved rules before execution. The receipt records that evaluation.
Security / CISO
Independently verifiable records issued by a third party. Proof of authorized spend does not depend on internal logs alone.
Platform / ML ops
Policy controls let agents procure autonomously within approved limits. No human approval loop required for routine spend.
Move from controlled tests to production procurement
Use sandbox to model agent purchasing behavior, then upgrade into production plans with signed receipts, approval workflows, and governance controls.