FIS Launches Agentic AI Suite to Transform Cash Flow Management for CFOs

FIS Introduces Agentic AI Solution for CFO Operations

FIS has launched the Agentic Insights Suite, marking a strategic move to address mounting pressure on the office of the CFO as finance teams struggle with fragmented data and reactive cash management1

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. This AI-powered financial tool transforms how organizations forecast cash flow by converting disconnected internal and external data into forward-looking intelligence on cash and risk. Unlike traditional automation that handles single tasks, the Agentic Insights Suite functions as a central hub that gathers data, performs analysis and recommends action across multiple financial systems.

Addressing the Working Capital Optimization Challenge

The timing reflects an urgent need in corporate finance. While 46% of finance leaders identify working capital optimization as a primary area for Agentic AI deployment, only 14% have actually integrated AI agents into their finance function, according to a Deloitte survey cited by FIS2

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. This gap between interest and adoption highlights the challenge finance teams face as they manage operations across more markets and systems while dealing with elevated capital costs. FIS designed the suite specifically to close this imbalance by providing practical tools that consolidate data from ERP, treasury and CRM systems alongside external credit bureau and public data sources1

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Real-Time Account Scoring and Credit Risk Assessment

The suite delivers real-time account scoring and recommended next steps, enabling finance teams to prioritize the highest-risk issues before they impact the books. By combining a company's internal data with external credit and public information, the system assesses credit risk and business health continuously rather than retrospectively2

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. This consolidated approach eliminates the manual reconciliation process that typically consumes finance, credit and treasury teams' time when working with conflicting numbers across disconnected systems. The platform provides one reconciled source for scoring and analysis, letting teams work from consistent, reliable data.

Machine Learning Powers Cash Flow Forecasting

A new cash flow forecasting module represents a significant advancement in how organizations project liquidity. Using machine learning and forecasting simulations, the system runs multiple possible outcomes rather than producing a single estimate1

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. This capability allows the suite to project cash across configurable time horizons and test scenarios such as delayed inflows or accelerated outflows, giving CFOs visibility into how various market conditions would affect their liquidity position. Andrés Choussy, president of capital markets at FIS, emphasized this shift: "Most finance teams can tell you what happened to their cash last quarter; very few can tell you what happens next month with confidence"1

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The AI Adoption Paradox in Treasury Operations

The launch arrives as corporate treasury confronts a paradox: widespread AI adoption hasn't translated to measurable financial efficiency gains. Research from the 2026 Working Capital Index by PYMNTS Intelligence reveals that 97% of the lowest-performing middle-market firms use AI in treasury operations, just below the 100% adoption rate among top performers2

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. Yet the two groups operate with markedly different efficiency levels. Top performers report cash conversion cycles averaging 39 days compared with 63 days among bottom performers, while 70% of the strongest firms report predictable financing needs versus just 3% of laggards. This data suggests that the quality and integration of AI tools matters more than mere adoption.

Building on FIS's AI Partnership Strategy

FIS has established credentials in applying Agentic AI to financial operations through its partnership with Anthropic. The collaboration previously yielded a Financial Crimes AI Agent that compresses anti-money-laundering investigations from hours to minutes1

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. This track record positions the Agentic Insights Suite as part of a broader strategy to deploy AI agents that handle complex, multi-step processes rather than simple task automation. Choussy framed the value proposition clearly: the suite "does the work of pulling together credit, treasury and market signals and showing a CFO where the risk sits before it reaches the books," transforming cash from something finance teams report on into something they actively manage2

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. Watch how forward-looking risk management tools reshape CFO priorities and whether other financial services firms accelerate their Agentic AI offerings to compete in this emerging market.