The corporate treasury gets an autonomous cash brain

Today: corporate treasury runs on spreadsheets and manual judgment — forecasting liquidity, sweeping balances, managing FX exposure.

The next five years: treasury management systems gain agents that forecast cash continuously and optimize balances, funding, and hedging within policy — acting, not just advising.

The AI relation: models read the full flow of receivables, payables, and market conditions to make decisions a human team can't make as fast or as often. Treasurers shift to setting policy and handling exceptions.

Signal: treasury software is repricing around autonomous optimization. The value is in decisions made, not dashboards shown.