What happened
Bank of America announced Payments Insights, a CashPro tool that analyzes payment efficiency, cross-border flows and working-capital performance and compares a company's results with industry peers. CashPro processed 213 million payments in the first half of 2026, up 10% from a year earlier.
Why it matters
The tool is meant to cut time spent assembling and sorting data so treasury staff can spend more time deciding what to do with it, and it is being added to a suite that already includes cash forecasting and fraud-security scoring, so the work is shifting toward analysis, oversight and judgment.
What to watch
The test is whether companies actually retrain treasury staff fast enough to use these tools, as BofA's Jennifer Sanctis says firms are not necessarily restructuring teams but looking to free people from manual work. Watch how straight-through processing and cost management evolve as this plays out.
WHO IT HITSTreasury analysts and finance teams at companies using CashPro are most directly affected, as the tool automates data-pulling and peer comparison that they have done manually. CFOs and finance managers will need to decide whether to retrain staff to use these dashboards and analytics rather than treating AI as a pilot project.
Summaries like this, in your inbox every morning.
Treasury teams have long had plenty of data; the harder problem has been figuring out what matters. Payments Insights is the latest addition to CashPro Data Intelligence, BofA's AI-powered suite of treasury analytics tools, which also includes cash forecasting and fraud-security scoring. The bank says CashPro processed 213 million payments in the first half of 2026, up 10% from a year earlier.
Bank of America's Jennifer Sanctis told Fortune that over the last two years the pressure on treasury teams to do more with less has only grown, and that companies are not necessarily restructuring teams but looking to free people from manual work for higher-value analysis and decision-making. That fits with a Deloitte report saying agentic AI is moving beyond pilots to orchestrate entire workflows, including cash flow forecasting, risk analysis, and fraud detection embedded directly into payment rails, rather than simply assisting with individual tasks, and framing 2026 as a turning point defined by speed, control and resilience.
The article's own framing puts the emphasis less on whether AI will touch treasury operations, which it already has, and more on whether staff are being retrained fast enough to use it. That suggests the outcome for individual finance teams hinges on how quickly they build skills bridging finance, technology and data, and whether tools like dashboard-driven peer comparisons translate into faster decisions rather than just more data to review.
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