February 2026 Summaries

Traditional calendar-based forecasting relies on fixed assumptions that can quickly become outdated amid volatile costs, demand, currency movements, and market conditions, often leaving businesses to explain variances after decisions have already been made. Continuous forecasting instead maintains a rolling 12- to 18-month outlook that updates regularly using current operational and transaction data, enabling finance teams to identify cash-flow risks, revise spending, reallocate resources, and respond to opportunities sooner. The approach can reduce time spent collecting and reconciling data while increasing confidence in financial information, but it requires reliable refresh cycles, cross-functional data sharing, automated consolidation, and leadership support for prioritizing near-term responsiveness over long-range precision. Airwallex presents its unified payments, foreign exchange, accounts, and spend platform as infrastructure that can provide real-time data for continuous forecasting and, eventually, support AI tools that identify financial risks and inform decisions.

Airwallex has announced a multi-year partnership with the San Francisco Giants as the team’s Official Jersey Patch Partner and Official Financial Software Partner, with its logo appearing on Giants uniforms this season. The company will provide financial tools including billing, Visa corporate cards, expense management, and payment processing to help modernize the franchise’s operations, covering needs such as travel spending, suite sales, and private events. Airwallex frames the agreement as part of its commitment to San Francisco, where it maintains its second global headquarters alongside Singapore and plans to expand its office and double its US workforce to more than 400 employees. After investing about $150 million in US operations from 2020 through 2025, the company says it intends to invest over $1 billion from 2026 to 2029 as it expands nationwide, following its reported achievement of more than $1 billion in annualized revenue.

Airwallex’s 2025 year-end reflection presents the company’s effort to build an integrated global financial platform that combines payment acceptance, multi-currency accounts, foreign exchange, payouts, corporate cards, expense management, procurement, billing, and embedded-finance APIs. It reports reaching US$1 billion in annual recurring revenue in October 2025, representing 90% year-on-year growth, serving more than 200,000 customers, achieving EBITDA profitability in the fourth quarter, and receiving an US$8 billion valuation in its Series G funding round. The company says its network now processes more than US$266 billion annually, routes over 95% of transactions through local payment rails in 127 countries, supports transfers to more than 200 countries, and saved customers an estimated US$1.2 billion in 2025 through lower-cost payment routing and foreign-exchange features. Product expansion included broader account, payout, currency-holding, card, payment-method, procurement, recurring-billing, and developer-platform capabilities, alongside AI tools intended to improve onboarding, payment optimization, reconciliation, and automated financial workflows. Airwallex also outlined plans to enter more than 10 markets in 2026, invest US$1 billion in US expansion and over US$500 million in the UK, and pursue a long-term target of one million customers and US$10 billion in annual recurring revenue.

Month-end closing traditionally relies on manual reconciliation across disconnected payment processors, banks, card systems, FX platforms, and accounting tools, often leaving finance teams to make decisions using delayed information. Continuous close is presented as an alternative operating model in which transactions are reconciled as they occur through real-time data connectivity, automated matching rules, and shared or integrated ledgers, allowing errors, spending changes, cash commitments, and currency exposures to be identified earlier. Moving toward this approach involves mapping financial data sources, reducing fragmented infrastructure over time, synchronizing transaction data with ERP systems, automating routine reconciliation, and shifting staff effort from concentrated month-end work toward ongoing monitoring and analysis. While month-end would remain necessary for reporting and compliance, proponents argue that continuous close can distribute workloads more evenly, improve audit readiness, and enable finance professionals to focus more on forecasting and strategic advice. The material highlights Airwallex as an example of a platform designed to unify payments, spend, FX, treasury, and accounting synchronization, while noting that the content is informational rather than financial, legal, tax, regulatory, or investment advice.

Despite Davos 2026 discussions highlighting global economic resilience amid trade disruption and geopolitical uncertainty, the passage argues that finance teams face a more immediate reality of fragmented banking systems, delayed cross-border payments, limited cash visibility, and volatile foreign-exchange rates. As businesses increasingly acquire international suppliers, customers, staff, and expenses by default, local financial infrastructure often fails to support their cross-border operations effectively. The author contends that connected financial systems can help companies move funds faster, monitor multi-entity cash positions, manage FX exposure, and respond more quickly to tariffs and other shocks. It also suggests that AI can deliver meaningful treasury benefits only when it is supported by real-time, integrated financial data. In this view, operational financial agility rather than macroeconomic rhetoric will be a major source of competitive advantage in an increasingly volatile global environment.

Airwallex has introduced updates aimed at improving financial visibility, expense compliance, local payment experiences, platform payouts, and API security. Business account users can access a Balance Snapshot Report for consolidated end-of-day balances across accounts and currencies, use the WebApp in Mexican Spanish, French, Japanese, or Korean, and manage additional organisation owners through an approval workflow. Payment enhancements add PayMe for Hong Kong businesses, including Shopify support, and iDEAL for Magento merchants serving Dutch customers. Spend tools now include an Expense Policy Agent that automatically reviews reimbursement claims for policy issues and duplicates, alongside late-submission policies that can send follow-ups and freeze cards until overdue expenses are filed. Platforms can make direct seller payouts from platform ledger accounts to external bank accounts through one API call, while developers can restrict API key usage with WebApp-managed IP whitelists supporting CIDR notation and bulk IP entry.

Airwallex has introduced its AI Assistant, now called Kai, as an AI-powered concierge within its WebApp designed to simplify global financial operations for businesses. Built around multi-currency transactions, regulatory requirements, and customer-specific Airwallex data, the assistant provides real-time guidance, visibility into payments and fees, and selected actions such as creating corporate cards and tracking payment applications. It can help users configure accounts, enable payment methods, understand cash positions and spending, and escalate unresolved issues to appropriate human support teams. Airwallex plans to expand Kai’s capabilities to include payment-link creation, natural-language spend approval workflows, transfer and currency recommendations, and automation of recurring transactions. The company positions the assistant as the first stage of a broader effort to embed AI throughout its financial products, providing proactive recommendations, streamlined configurations, and data-driven insights while noting that its information is not legal, tax, regulatory, or investment advice.

Finance teams are encouraged to procure a scalable fintech stack based on anticipated growth rather than only current needs, considering future markets, currencies, entities, transaction volumes, and governance requirements. The framework recommends mapping essential workflows, assessing global payment and multi-currency capabilities, evaluating integrations with accounting and operational systems, reviewing API quality, and confirming that AI tools can use unified, explainable data with appropriate controls. It also emphasizes security certifications, fraud prevention, regulatory coverage, resilience, structured vendor scoring, detailed RFPs, and proof-of-concept testing using real workflows. Procurement should account for total cost of ownership, including implementation, migration, support, training, hidden fees, and the retirement of legacy systems, while contracts should define measurable service levels, pricing triggers, and escalation procedures. Ongoing vendor governance should track operational metrics such as reconciliation exceptions, failed payments, close times, disputes, and foreign-exchange costs, while maintaining data portability and contingency plans. Airwallex presents its integrated global accounts, payments, FX, cards, spend management, reconciliation, and developing AI capabilities as an example of a platform intended to reduce fragmentation and support international expansion.

Finance teams can gain practical value from AI by beginning with one or two measurable, high-volume workflows such as expense processing, payment retries, fraud detection, or reconciliation, rather than attempting broad automation at once. Successful implementation depends heavily on connected financial data across banking, payments, cards, and accounting systems, as fragmented infrastructure can create costly integration work and limit AI’s context. The recommended approach is to establish clear goals and baseline metrics, define approval policies and escalation rules, pilot AI with human oversight, review outcomes regularly, and extend it gradually into related workflows. Performance should be assessed through a small set of relevant quantitative measures, including processing times, acceptance rates, false positives, match rates, and close times, alongside staff feedback and reduced reliance on manual workarounds. The material argues that unified financial platforms, including Airwallex’s offering, can simplify data access and support more scalable AI deployment, while cautioning that governance, auditability, project ownership, and realistic expectations remain important for use in regulated finance operations.

Growing eCommerce businesses can outgrow spreadsheet- and email-based expense processes as they expand across storefronts, markets, currencies, suppliers, and advertising channels, leading to delayed month-end closes, missing receipts, inconsistent policy enforcement, fragmented spending data, and misaligned purchase orders, invoices, and payments. These shortcomings can obscure unit economics, increase errors and uncontrolled spending, and limit finance teams’ ability to advise on pricing, supplier choices, promotions, and geographic expansion. The material advocates modern spend-management systems that combine multi-currency cards, employee expenses, purchase orders, supplier payments, approvals, and accounting integrations in one platform, with policies applied at the point of purchase and real-time reporting by entity, market, channel, or vendor. It presents Airwallex Spend Management as one such platform, stating that its AI features can extract receipt and invoice data, categorize and match transactions, automate approvals, and flag duplicates, unusual activity, or out-of-policy spending to reduce administrative work and improve visibility.