June 2026 Summaries

Airwallex has introduced Airi, a consumer wallet designed to reduce checkout friction by allowing customers to save payment details once and use one-click payments across participating businesses. Available through Airwallex Checkout and Payment Links, Airi can be enabled from the Payment Methods section without additional setup or fees beyond standard processing charges, and Airwallex says it can provide checkout speeds up to three times faster and conversion increases of up to 14% compared with standard card flows. For international merchants, the wallet’s recognition of trusted customers may help reduce avoidable declines and improve approval rates while retaining access to local payment methods, multi-currency settlement, and Optimize 360 fraud prevention. Airwallex also plans to develop Airi into an agentic wallet that lets shoppers authorize AI agents to transact securely without exposing payment data, complemented by its Agentic Commerce Suite for merchants managing agent-initiated payments.

Airwallex announced a new financing round led by Addition that values the company at $11 billion, with participation from several existing and new investors, to support its expansion of AI-focused financial products. The company argues that AI is enabling smaller businesses and individual founders to operate globally but that cross-border payments, multicurrency management, compliance, licensing, and local banking integrations still require substantial financial infrastructure. Airwallex says it has built this foundation over 10 years through more than 85 licenses, integrations with 160 local payment networks, and payout capabilities in over 200 countries and regions. Its new initiatives include T:0, a private-beta AI-native platform intended to automate bookkeeping, forecasting, taxes, compliance, and reporting for businesses from their inception, and Airi, a one-click checkout product that the company says improved merchant conversion by 14% in early testing and is intended to develop into a regulated wallet for AI agents. Airwallex plans to use these products, alongside its existing infrastructure and Agentic Commerce Suite, to support AI-driven global business formation and agentic commerce.

Airwallex AgentOS is a toolkit that enables AI agents to manage Airwallex business-account operations through plain-language prompts, allowing users to work from preferred platforms such as Claude Code, Claude Cowork, and Cursor rather than directly in Airwallex applications. Available through plugins as well as an MCP server, CLI, and customizable workflow Skills, it can support tasks including checking multi-currency balances, reviewing receivables and payables, planning foreign-exchange conversions, creating invoices from contracts, and provisioning company cards. The platform can also connect with tools such as email, Slack, CRM, and accounting systems to automate communications, record synchronization, reconciliation, and reporting. Businesses can use live production accounts, test workflows in a sandbox, or access Airwallex documentation in context, while the company positions the offering as an extension of its regulated global financial infrastructure for increasingly capable AI agents.

Airwallex has renamed and expanded its in-WebApp AI assistant as Kai, an intelligent companion designed to help customers manage financial operations through natural-language prompts across more than 100 tools and workflows. Kai uses business and page context to support customized onboarding, identify recurring payment patterns, create spend-approval workflows, initiate and track transfers, and manage cards, while escalating issues to human support when necessary; Airwallex says it currently resolves 88% of conversations without escalation and has assisted more than 14,000 customers with onboarding. Planned enhancements include answering business analytics questions such as burn rate and AI infrastructure spending, guiding payment acceptance setup with payment-method recommendations, and supporting employee onboarding through role and permission configuration.

A Forrester study commissioned by Airwallex of 1,279 finance decision-makers found that although 74% view AI integration as a top priority over the next year, 40% struggle to establish a clear business case beyond short-term productivity improvements. Finance leaders face pressure to adopt AI for faster financial closes, reforecasting, and risk detection, yet variable costs, gradual benefits, and overlapping technology or organisational changes make conventional ROI assessments difficult. Concerns about falling behind faster-modernising competitors, cited by 42% of respondents, highlight the potential cost of delaying adoption, while limited team experience and resistance to change remain important barriers. The discussion argues that organisations should begin with concrete finance problems rather than AI tools, strengthen unified data and financial infrastructure across entities and systems, and develop AI experience early so measurement approaches can evolve alongside the value created.

AI is accelerating finance tasks such as reconciliations, reporting, and customer-response drafting, but many organizations have not achieved faster closes, approvals, or audits because bottlenecks have shifted to disconnected data, manual handoffs, reviews, and sign-off chains. A Forrester Consulting study commissioned by Airwallex found that while one-third of finance leaders consider workflows fully digital, 84% still require manual intervention, and 65% identify fragmented or inconsistent data as the primary barrier to scaling AI. Finance leaders must also preserve accountability amid risk, compliance, audit, and trust concerns, since AI-generated outputs still require explanation and human approval. The proposed next step is not simply deploying more AI, but redesigning finance operating models around connected workflows, consistent data movement, automated routing and audit trails, and exception-based human oversight so that machine-speed work can translate into quicker decisions, stronger controls, and improved business outcomes.

Finance leaders increasingly favor hybrid AI strategies that combine vendor platforms with in-house workflow development, with 51% currently using this approach and 57% expected to do so within a year, according to a Forrester Consulting study commissioned by Airwallex. The rationale is that organizations can build proprietary logic for areas such as treasury routing, risk models, and approval processes while purchasing regulated infrastructure, including payment rails, compliance controls, audit trails, and reporting capabilities, whose maintenance can require substantial ongoing investment. Although platform consolidation is occurring, 84% of organizations still rely on manual finance-workflow steps because systems often lack effective connectivity, while auditors’ reliance on manual validation can further slow AI adoption. Vendor selection is therefore increasingly shaped by orchestration and modular architecture, enabling systems and data to work across functions rather than remain isolated point solutions. The effectiveness of this hybrid model also depends on finance talent, as 53% of respondents identify limited experience with AI-enabled processes as a major scaling barrier and relatively few have established structured AI talent programs.

Airwallex announced the launch of Airwallex Billing, designed to support flexible and rapidly evolving pricing and charging models, particularly those shaped by AI-driven businesses. June updates also include Vietnamese dong collections through Viet Nam Global Accounts for sellers on Shopee and TikTok Shop, as well as in-store Octopus acceptance through Airwallex POS in Hong Kong alongside other local payment methods. Airwallex Spend now integrates with Microsoft Business Central, enables employees to request temporary card-limit increases through approval workflows, and gives managers expanded visibility into team spending, while improved transaction search and status displays aim to simplify expense management. The company also introduced a public Status Page with real-time service health, incident notices, maintenance updates, historical uptime data, and subscription alerts.

Airwallex’s founder rejects allegations from a competitor’s board member that the Chinese government can access U.S. customer information, describing them as false and outlining the company’s global operations, security controls, licensing, and investment plans. Founded in Melbourne in 2015 to address costly and slow cross-border payments, Airwallex now provides multi-currency accounts, global payments, card issuance, and spend-management services to businesses in 47 markets, including 46,000 U.S. customers, while holding more than 85 global licenses and money-transmitter licenses in 45 U.S. states. The company states that U.S. customer data is stored in the United States and inaccessible to employees in China and Hong Kong, with access limited through least-privilege controls, phishing-resistant multifactor authentication, and continuous monitoring. It cites an independent Coalfire assessment that found its security program exceeded minimum expectations, as well as advice from Sullivan & Cromwell on compliance matters. Airwallex also notes that Tencent holds a passive stake under 10 percent without a board seat or special information rights, and argues that data security risks should be addressed through industry-wide standards for globally operating financial companies. The company plans to double its U.S. workforce to more than 400 employees and invest over $1 billion in U.S. operations between 2026 and 2029.

AI agents are increasingly able to triage issues, generate code, and deploy fixes, reducing engineering capacity as the central constraint on software development while exposing organizational coordination as a new bottleneck. The passage argues that many companies still apply AI tools within traditional sequential handoffs among product, design, engineering, and QA teams, rather than redesigning workflows so people closest to customer problems can act directly. Drawing on examples from Anything and Airwallex, it describes support, finance, and other non-engineering teams using AI to investigate problems and build internal tools, with human attention shifting toward product strategy, customer insight, differentiation, and distribution. It also contends that domain expertise is becoming more valuable than coding ability alone, enabling specialists in fields such as recruiting, logistics, real estate, and finance to create software shaped by their operational knowledge. As AI capabilities advance rapidly and software becomes cheaper to produce, the passage concludes that companies’ ability to adapt their organizational structures, including for products used by AI agents, may determine their competitive speed and effectiveness.

A Forrester Consulting survey of 1,279 finance decision-makers, commissioned by Airwallex, finds that North American finance teams are ahead of EMEA and much of APAC in deploying AI across multi-step operational workflows, with 37% reporting such use compared with higher rates of limited or no execution in Europe. While planned investment increases are similar across regions, the gap is attributed to differences in connected data infrastructure, computing capacity, regulation, and access to AI talent rather than spending alone. EMEA has the highest reported rate of no AI execution at 28%, with siloed data affecting 58% of its teams, while stricter governance requirements under frameworks such as GDPR and the EU AI Act can lengthen deployment timelines. APAC shows substantial variation, with Hong Kong, Australia, and Singapore more advanced due to consolidated infrastructure, and Singapore reporting the region’s highest autonomous-execution rate. Across all regions, disconnected data is identified as the leading obstacle to scaling AI, and the findings suggest that finance organizations need interoperable systems linking payments, foreign exchange, spending, accounts, and reconciliation before AI can reliably automate complex, cross-border workflows.