AI-Driven Commerce Creates New Risk: Legitimate Purchases Being Flagged as Fraud

The rapid adoption of AI shopping agents is creating an unexpected challenge for merchants worldwide. While much attention has focused on potential fraud from these systems, a growing number of legitimate AI-initiated purchases are being incorrectly flagged as fraudulent and declined.

This ‘false decline’ crisis stems from legacy fraud detection systems that struggle to differentiate between genuine AI transactions and malicious bot activity. As agentic commerce expands—projected to account for 25-30% of global online sales by 2030 according to The Paypers Global Ecommerce Report 2026—this issue will only intensify.

The Mismatch Between Systems and Behavior

Fraud detection systems were primarily designed to identify patterns associated with human shoppers. They rely on signals like device fingerprints, session behavior, and authentication methods that AI agents can now mimic effectively.

“The fraud systems most merchants use today were built to detect bad human behavior,” explains Monica Eaton, founder and CEO of Chargebacks911. “They weren’t designed for a world where legitimate AI agents and malicious bots produce nearly identical traffic patterns.”

The Cost of False Declines

False declines carry several immediate consequences:

  • Lost sales: Revenue is immediately forfeited without the possibility of chargebacks
  • Brand damage: Customers may lose trust when their purchases are unexpectedly blocked
  • Reduced AI adoption: Agents may avoid platforms with high decline rates, limiting future growth opportunities

Adapting to Agentic Commerce

To address this challenge, merchants need to shift from relying on point-of-transaction signals to building comprehensive consent frameworks. Key recommendations include:

  1. Granular permission systems: Define clear limits and authorizations for AI agents operating on their platforms
  2. Robust evidence capture: Log all agent activity with timestamps and authorization details
  3. Adaptive fraud rules: Adjust thresholds to account for the unique behavioral patterns of agent-initiated purchases

By proactively adapting their infrastructure, merchants can not only reduce false declines but also position themselves for success in an increasingly AI-driven commerce landscape.