Bold, not perfect: How Tax rebuilt itself around AI

Airwallex describes how it is applying AI and automation to tax operations across 26 countries, arguing that tax teams can automate a substantial share of recurring compliance work while retaining human judgment for technical decisions. After mapping finance tasks, the company found that standardizing regional processes and improving underlying data quality were essential prerequisites for automation. It has begun automating tax-return preparation, controls, and VAT/GST workflows, shifting external advisors toward review roles and allowing internal staff to focus more on planning, strategy, transfer pricing, and earlier business advisory involvement. The company also uses AI to accelerate tax research and initial technical analysis, while emphasizing that domain experts must validate outputs because AI can make errors and workflows can fail. Its approach favors rapid testing with safeguards, including fallback data states, and its next priorities include expanding indirect-tax automation globally, automating transfer-pricing documentation reviews, and streamlining recurring tax advisory projects.

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