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One AI Agent, 2,395 Payments. Still No Final Say

Preparing a batch of payments used to mean a person checking each invoice, confirming it matched what was approved, and grouping everything by hand. Coupa just showed how much of that work software can now do on its own. The company’s Payment Batch Creation Agent ran 14 payment batches on its own, covering 2,395 individual […] The post One AI Agent, 2,395 Payments. Still No Final Say appeared…

One AI Agent, 2,395 Payments. Still No Final Say

Coupa, an AI-powered payments company, demonstrated the capabilities of its Payment Batch Creation Agent by processing 2,395 individual payments totaling $20.1 million in just five weeks. While the agent handles tasks such as validating invoices, confirming approvals, and checking payment terms, it still requires human approval before the money is transferred.

This distinction highlights the evolving role of AI in financial transactions. Currently, approximately 450 customers utilize Coupa's AI agents in production. Coupa's AI agents offer significant cost savings, with one customer reporting a $2,000 reduction in staff time weekly. Moreover, the agent automates the majority of the payment preparation process, including validating invoices, confirming approvals, and placing transactions into appropriate batches.

This shift in responsibility from manual preparation to AI-driven automation is gaining traction, with 70% of firms already using AI tools to manage some aspect of their cash flow. Major card networks, such as Mastercard and Visa, are also developing their own AI systems to ensure accountability and prove the intentions of autonomous agents.

Coupa's latest release includes connections to over 30 third-party systems, enabling external AI tools to access a company's financial data without building custom integrations. As more companies adopt AI in their payment processes, the future may see AI agents operating independently of the software that ultimately controls transactions.

Written by urgent.news from PYMNTS's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at pymnts.com →

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