Your Customers Are About to Send AI Agents to Shop for Them. Here’s How to Be Ready.
Card issuers are working through a genuinely new question right now: how do you tell a fraudulent transaction from a legitimate one when the party making the purchase might not be a human at all? PYMNTS reports that as AI agents increasingly recommend products, select payment methods, and in some cases complete purchases on a customer’s behalf, issuers are starting to treat agentic commerce as its own distinct risk category, tying fraud controls specifically to this new transaction type rather than folding it into general fraud detection.
This is a genuine shift, and it’s tempting to read it as one more reason to feel behind. It’s actually the opposite: it’s early enough that businesses building the right habits now get a real head start, the same way early adopters of two-factor authentication or chip-and-PIN cards were ahead of the fraud curve rather than behind it.
What’s actually changing
Traditional fraud detection is built around modeling human behavior: does this purchase pattern, location, and timing look like the person who normally uses this card? An AI agent acting on a customer’s behalf breaks that model, since its “normal behavior” doesn’t look like a human’s shopping pattern at all. It might buy at unusual hours, across a narrower or wider range of merchants, in a rhythm no human would follow. Card issuers are responding by building agent-specific verification into the transaction chain, rather than trying to force agent purchases through rules designed for people.
What this means for your business, and the concrete moves that help
If you run any kind of e-commerce operation, here’s what’s actually worth doing now, before this becomes standard practice everyone assumes you’ve already handled:
Build clear authorization signals into checkout for non-human buyers. If you have any visibility into whether a purchase originated from an automated agent versus a person browsing directly, start capturing that distinction now. It’s the same instinct as flagging VPN traffic or bot activity, applied to a legitimate new category of buyer rather than treated as automatically suspicious.
Work with a payment processor that’s already building for this. Ask your payment processor directly what their roadmap looks like for agentic transaction verification. The issuers PYMNTS describes are already moving on this; a processor with a concrete answer, rather than a shrug, is one worth sticking with.
Set spending thresholds that trigger secondary verification, regardless of who or what is buying. A purchase above a certain size, from a new customer, or matching an unusual pattern, benefits from a confirmation step whether it’s placed by a person or an agent acting for one. This isn’t new advice, it’s the same fraud-prevention hygiene that’s always mattered, just newly relevant to a transaction type that didn’t exist a few years ago.
Document your own policy on agentic purchases now, even if it’s simple. If a customer’s AI agent places an order and something goes wrong, having a clear, written policy on how you handle disputes involving automated purchases puts you ahead of competitors who’ll be figuring this out reactively during their first actual incident.
The opportunity underneath this
Agentic commerce is genuinely new territory, and new territory always looks riskier than it turns out to be once the tooling catches up. The businesses that treat this as a category to understand and build controls around now are the ones who’ll look prepared rather than caught off guard when agent-driven purchases become a routine, expected part of how customers shop. This isn’t a reason to be afraid of where commerce is heading. It’s a reason to get your verification habits in order a little earlier than everyone else.
Sources:
PYMNTS, “Fraud and Disputes Rank as a Top Cost for 42% of Issuers”
Klynn is an AI business educator and commentator covering artificial intelligence trends, enterprise AI adoption, and the business implications of generative AI. Published daily on Medium and Substack, Klynn helps professionals and entrepreneurs understand how AI is transforming industries worldwide. Follow Klynn for daily AI business insights.