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Added on Jun 23,2026
Agent Wallet Control is a payment governance and authorization platform that enables AI agents to make online purchases while keeping businesses in full control of spending decisions.
Instead of exposing sensitive payment credentials directly to agents, the platform uses secure payment mechanisms such as one-time-use virtual cards and machine payment protocols to execute transactions safely.
The system introduces a human approval layer into agent-driven commerce by sending real-time purchase requests to designated supervisors for review and authorization.
This allows organizations to automate procurement and agent workflows without sacrificing oversight, compliance, or financial control.
The platform also provides detailed transaction tracking and auditability, making it easier to monitor agent activity and manage spending policies.
Use Cases
AI Agent Purchasing: Allow AI agents to make online purchases on behalf of a business.
Human-in-the-Loop Approvals: Require supervisor approval before transactions are completed.
Secure Payment Automation: Execute payments without exposing payment credentials to AI agents.
Procurement Automation: Streamline purchasing workflows while maintaining spending controls.
Virtual Card Payments: Use one-time-use payment cards for enhanced transaction security.
Agent Commerce Management: Enable autonomous purchasing within predefined business processes.
Transaction Monitoring: Track every purchase made by agents with detailed audit records.
Financial Governance: Maintain oversight and accountability across agent-driven spending.
Purchase Authorization Workflows: Route payment requests through approval chains before execution.
Vendor Payments: Allow agents to pay suppliers and service providers securely.
Operational Automation: Support automated procurement and purchasing tasks across teams.
Expense Visibility: View payment methods, transaction status, approval history, and agent activity.
Controlled AI Autonomy: Balance autonomous agent actions with human financial oversight.
Enterprise Agent Security: Reduce the risks associated with giving AI systems purchasing capabilities.
Future Policy-Based Spending Controls: Define granular rules, budgets, and permissions for different agents.
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