AI sped up the workflows but human oversight became the bottleneck

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.

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