PayAdmit Urges Early Tracking of Agentic Commerce Payments

Agentic commerce lets AI agents shop and pay on a customer’s behalf, yet those transactions generally travel through the same acquirers, message formats and card-not-present rails as human checkouts. Because payment records rarely identify the initiator, merchants cannot reliably measure the channel’s share or compare approval, decline, dispute and margin performance. Vladyslav Kolodistyi, a payments-infrastructure specialist at PayAdmit, argues that this blind spot could conceal false declines and platform fees before agent-led purchasing reaches material scale.

In a Finextra commentary published on Sept. 5, 2026, Kolodistyi urged merchants to create a separate reporting segment now and track four measures: agent-initiated payment share, approval rates versus human checkout, decline-reason distribution and dispute rates. He also recommended one scripted agent transaction each day, retention of agent identity, mandate reference and checkout timestamp through the full dispute window, and a pre-set reporting cadence. The data may become decision-useful around the third quarter of collection, he said; the article disclosed no transaction value or current market-share figure.