Better Workflows, Not Smarter AI, Will Shape Finance

Corporate finance teams are accelerating investment in artificial intelligence, but Billtrust’s chief technology officer said model capability is not the main constraint on transformation. Fragmented systems, inconsistent data and weak controls across receivables, payments and cash management can undermine automation and produce unreliable outputs. Without a sound financial architecture, companies risk using AI to amplify existing operational flaws rather than improve decisions or returns.

In a recent interview, Billtrust’s technology chief urged chief financial officers to rebuild data architecture, integrate systems and strengthen control processes before expanding AI deployments. The argument shifts the focus of finance technology spending from acquiring more advanced models to creating workflows that can support dependable automation at scale. The report did not disclose the interview’s exact date, a specific investment amount or quantified financial benefits.