StraitsX has opened onboarding for digital payment token providers across more than 100 markets through an expanded card-issuing architecture developed with Visa. Integration documentation published on 26 October 2026 describes a multi-BIN model that combines issuing sponsorship, transaction authorization, compliance screening and fiat clearing. The approach lets participating providers build stablecoin-backed card products while merchants continue to receive conventional fiat payments through Visa’s network. StraitsX says its card gross transaction value rose 40-fold year on year from Q4 2024 to Q4 2025, while cards issued across Asia increased 83-fold. On-chain issuer telemetry recorded monthly card transaction volume of $310 million to $438 million through October 2026. The company’s stated $6 billion annualized card transaction figure is distinct from its cumulative $70 billion in processed stablecoin volume. StraitsX and Visa have also scheduled demonstrations of agentic payments for November 2026.

Visa launched a live pilot with BILL and Billtrust at Money20/20 USA in late October 2026 to test end-to-end B2B invoice payments executed by software agents. The agents act on invoices enterprise buyers have already approved; they do not decide which supplier payments to authorize. Visa’s Trusted Agent Protocol and Agentic Directory are designed to authenticate those agents when they access supplier and merchant portals without shared credentials or manual human login. Separately, Visa has put Commercial Payment Controls into production for eligible issuers in supported regions, allowing businesses to set limits and restrictions on corporate spending. The company plans general availability of Commercial Virtual Authentication and Commercial Supplier Validation in 2027 after pilot completion. Its SESA 2.0 analytics platform has identified more than $600 billion in potentially cardable supplier spend. The pilot tests whether approved invoice payments can be executed through automated workflows while preserving buyer-defined controls.

Fireblocks has rejected an Axios report that Visa was in advanced talks to acquire the digital-asset infrastructure company for about $2.5 billion. Fireblocks said the reported discussions were not taking place at present. Visa declined to comment on the claim, while Coinbase separately denied reports that it was considering a bid. None of the companies has confirmed an acquisition process. The reported price would be about 69% below Fireblocks’ $8 billion valuation from its January 2022 Series E funding round. The company generated $124 million in revenue in 2024 but remained unprofitable, and it has initiated plans to cut 60 to 70 jobs amid the rumors. Visa already uses Fireblocks as an institutional client and works with it on an interoperability initiative. Those existing links provide context for the speculation, but do not establish that a transaction is under discussion.

Mastercard and Visa are advancing different approaches to AI-initiated business payments. At Cloudflare Connect, Mastercard demonstrated an agent making nine payments across multiple service providers under one authorized budget. It also opened early developer access to Agent Pay APIs, a sandbox and toolkits. Visa expanded its commercial agentic suite around a BILL and Billtrust pilot, alongside spend analytics and fraud tools. The distinction is how each approach constrains the agent. Visa’s pilot lets an agent pay invoices that buyers have already approved, using its Trusted Agent Protocol to navigate supplier-portal security without sharing underlying login credentials. Mastercard is testing controls for machine-to-machine transactions, including signed vouchers, agent verification and a score intended to estimate whether an incoming transaction was AI-initiated. Both efforts leave a consequential question for business payments: how responsibility should be assigned when an authorized agent follows its technical instructions but breaches a procurement condition.

Visa, BILL and Billtrust announced a live commercial pilot on October 20, 2026, that lets AI agents initiate and execute approved business invoice payments through supplier portals. The BILL Payment Agent uses tokenized payment credentials restricted to buyer-authorized invoices and predefined rules. Billtrust authenticates the agent through Visa’s Agentic Directory and Trusted Agent Protocol without requiring shared login credentials. The pilot tests how an agent can establish its identity and payment authority, but it does not give the agent authority to approve invoices independently. Visa’s protocol uses cryptographic signatures to bind requests to a particular merchant domain and page. The distinction matters for liability: commercial payment protections may be altered by contract, while AI software agreements may limit vendor exposure. Visa separately announced expanded commercial capabilities on October 21, with supplier validation and authentication controls scheduled for general availability in 2027. The EU’s draft Payment Services Regulation does not directly address autonomous agent payments.

Visa, BILL and Billtrust have begun a live pilot in which a payment agent executes end-to-end business invoice settlements between participating buyers on BILL and suppliers on Billtrust. The BILL Payment Agent acts only on buyer-approved payment instructions; it cannot choose invoices independently. Visa’s Trusted Agent Protocol lets Billtrust verify the agent’s cryptographic identity, while invoice-specific tokenized credentials replace exposed portal credentials and physical card data. The pilot addresses a longstanding obstacle to accounts-payable automation: supplier portals often treat automated activity as a potential security threat. Visa also launched Commercial Fraud Solutions to authenticate virtual-card activity and validate supplier credentials before authorization. The companies plan to assess expansion across platforms after initial acceptance benchmarks. They have not disclosed pilot transaction volume or identified the participating enterprises, leaving the scale and broader applicability of the approach unproven.