CFOs Spent Years Adding to the Payments Stack. Now They May Need to Tear It Apart.

Corporate finance leaders have long expanded their payments technology stack, adding more solutions for faster settlements, cross-border payments, fraud prevention, treasury management and virtual card capabilities. While each addition made sense on its own, the cumulative effect has created a complex and costly web of overlapping providers, workflows, and data, leaving finance teams with a growing "complexity tax" to move money efficiently.

Now, artificial intelligence may offer a solution to simplify this intricate payments infrastructure. The Payments Stack Has Become a Mess, and AI Could Provide an Unbundling Opportunity. CFOs are now seeking ways to modernize their payments stacks intelligently, rather than simply abandoning legacy systems. The complexity of the current payments infrastructure is often scattered across various platforms, data sources, and control environments, making it difficult to manage efficiently.

By implementing AI-driven consolidation, companies can potentially streamline their payments processes, evaluate payment methods, counterparty risks, liquidity, FX exposure, and transaction costs, and recommend the most cost-effective ways to move money. This could help CFOs cut through the complexity and optimize their payments infrastructure for better efficiency and cost savings.