In payments, the default card on file drives a disproportionate share of transaction volume. Agentic commerce shifts that dynamic: when an AI assistant completes a purchase autonomously, the credential selection happens before the merchant checkout screen ever loads. Strivve is now offering card issuers, from the largest banks down to community credit unions, the infrastructure to place their cards as the default at that earlier decision point.
The constraint the new category creates
The "top of wallet" concept in card payments refers to which credential sits first in a consumer's hierarchy of payment choices. In browser-based checkout, that position is contested primarily through stored-credential agreements with merchants and the behavioral nudges applied at the moment of payment selection. Agentic checkout moves that contest upstream. An AI agent operating on a consumer's behalf selects a credential before any merchant-side payment form renders. The consumer is not present at that selection. Whoever influences the agent's credential ranking wins the spend without winning the consumer's attention at checkout.
Where the long-tail merchant claim matters
Strivve describes its solution as making the issuer's card "the one the AI agent uses," automatically and securely, across what it calls the long tail of merchants. That last phrase is the operational claim worth watching. Large-merchant integrations are a known quantity; the long tail, the smaller and mid-market merchants that account for the bulk of commerce by site count, is where default-card positioning has historically been contested because these merchants rely on third-party payment platforms that establish their own credential hierarchies outside the issuer's control.
Issuer reach across the full market
Strivve frames this as infrastructure for the full issuer spectrum, naming community credit unions alongside the largest banks as target customers. The implication is that agentic checkout positioning becomes accessible without the technology staff and merchant partnership resources that large issuers deploy for traditional card-on-file placement. Whether that symmetry holds operationally will depend on how AI agents surface and rank credentials, and whether those ranking signals favor issuer metadata or default to consumer-set preferences stored elsewhere in the agent stack.