Personal AI agents are increasingly making transactions on their users' behalf, but given the nondeterministic nature of large language models, AI bots are prone to doing what they're not supposed to. Which, in this case, raises the possibility of AI misfiring and making unauthorized transactions. To get ahead of this problem, American Express is introducing a new framework designed to capture and authenticate a customer's purchase intent before an AI agent completes the transaction.
The idea is that there should be a way to ensure that the customer's purchase instructions are carried throughout the transaction lifecycle, Amex says, from the purchase to everything that follows. Dubbed the "Intent Intelligence Framework," the company hopes it will become an industry standard for AI-powered transactions. "These new transactions will have a consumer, a merchant, and an agent," explained Amex's VP of Agentic Partnerships and Strategy, Hannah Bozian, in an interview with TechCrunch.
She said the company wanted to ensure that agentic transactions are still "seamless, trusted, and secure, the way our card members expect them to be. " This framework's release follows the company's April launch of Amex's Agentic Commerce Experiences, or the ACE Developer Toolkit, which includes a handful of services that now include the intent framework. Amex said it has not yet seen an increase in disputes because of agentic commerce, but it wanted to be proactive in building this technology as this type of commerce scales. In part, that's because consumers have signaled they're open to trying agentic commerce.
In a recent Amex Trendex report, 66% of surveyed U. consumers said they're likely to use AI agents to research the best price for a product or service, and 61% said they're likely to use it for a product or service recommendation over the next 12 months, the company told TechCrunch. To start, Amex's new intent framework begins with a Create Intent API, which will capture the customer's purchase instructions along with other constraints they may have included in their request, like the merchant's name, maximum budget, and other product preferences.