FIS Agentic Insights Suite comes with a new cash flow forecasting module that projects cash across “multiple time horizons,” the company said in a Monday (Oct. 12) news release. It also scores credit risk and business health in real time by combining a company’s own data with outside credit and public data.
“The pressure on working capital has intensified,” the release said. “With the cost of capital elevated and finance operations spread across more markets and systems, protecting cash has become a defining challenge for the office of the CFO, and finance teams are increasingly turning to agentic AI to meet it.”
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However, interest is exceeding adoption, FIS added, citing a Deloitte survey showing that while 46% of finance leaders say working capital optimization is a main area for agentic AI, just 14% had integrated AI agents into their finance function. FIS says the new insights suite was designed to address that imbalance.
The suite serves as a central hub that collects data, performs analysis and recommends action, instead of automating a single task. It pulls data from multiple systems, letting finance, credit and treasury teams work from “consistent, reliable data” rather than manually reconciling conflicting numbers, the company added.
“Most finance teams can tell you what happened to their cash last quarter; very few can tell you what happens next month with confidence,” said Andrés Choussy, president of the FIS capital markets business.
“FIS Agentic Insights Suite changes that: it does the work of pulling together credit, treasury and market signals and showing a CFO where the risk sits before it reaches the books. That is how FIS helps clients put their money to work, turning cash from something they report on into something they actively manage.”
The rollout is happening at a moment when corporate treasury is nearing “an uncomfortable reality” about artificial intelligence, as PYMNTS wrote Monday. Almost every company has it, but relatively few can show that it improves their lives financially.
Research from the latest 2026 edition of the Working Capital Index (WCI) from PYMNTS Intelligence shows that 97% of the lowest-performing middle-market firms use AI in treasury, just below the 100% adoption rate among top performers.
“But the two groups still operate with notably different levels of financial efficiency,” the report added. “Top performers report cash conversion cycles averaging 39 days, compared with 63 days among bottom performers. Some 70% of the strongest firms report predictable financing needs, versus just 3% of laggards.”
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