24/7 Treasury: From static thresholds to programmatic rules at Airwallex

A global treasury team managing more than 40 currencies and hundreds of millions of dollars is applying AI and automation to improve around-the-clock cash management, liquidity oversight, FX execution, and customer-fund safeguarding. A finance-wide task-mapping exercise found that 75% of treasury work occurs daily and that many highly automatable activities had already been systemised, while forecasting remained the most difficult area because it depends on external, unstructured data and human judgment. After rebuilding its bank-account architecture, workflows, APIs, and real-time cash-position visibility, the team shifted from relying on prior-day bank statements to a continuous treasury model. AI-supported tools now enable signal-based cash rebalancing instead of fixed thresholds, continuously monitor safeguarding constraints and potential FX mismatches, and make data analysis accessible through simple prompts. The team’s next priorities are to automate components of forecasting, develop triggered end-to-end safeguarding workflows, and improve management reporting so staff can focus less on report production and more on liquidity, risk, and strategic decisions.

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