FIS has launched an agentic AI suite for finance teams, including a module that forecasts cash flow across multiple time horizons. The FIS Agentic Insights Suite combines internal and external data to support cash flow analysis and risk assessment.

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Cash flow management is also relevant to CFOs at retail CFD brokers, who oversee working capital, regulatory capital requirements and counterparty risks. Finance Magnates has reported that BP Prime's operator identified working capital needs and counterparty credit risk among its financial concerns.

One Global Market's latest accounts show that it generated £411K in operating cash flow in FY25, reversing a £710K outflow a year earlier. Changes in working capital accounted for much of the improvement.

AI Suite Combines Internal and External Data

The importance of working capital management is also reflected in Deloitte's Finance Trends 2026 survey. It found that 46% of global finance leaders identified working capital optimisation as a priority area for agentic AI, while 14% said they had fully integrated AI agents into their finance functions.

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The platform combines data from enterprise resource planning, treasury and customer relationship management systems with external credit bureau and public data. FIS said this is designed to reduce manual data reconciliation across finance, credit and treasury teams.

FIS Adds Machine Learning to Cash Forecasting

The cash flow forecasting module uses machine learning Machine Learning Machine learning is defined as an application of artificial intelligence (AI) that looks to automatically learn and improve from experience without being explicitly programmed. Machine learning is a rapidly growing field that also focuses on the development of computer programs that can access data and use it learn for themselves.This has many potential benefits for most industries and sectors, including the financial services industry. Machine Learning ExplainedMachine learning can be explained Machine learning is defined as an application of artificial intelligence (AI) that looks to automatically learn and improve from experience without being explicitly programmed. Machine learning is a rapidly growing field that also focuses on the development of computer programs that can access data and use it learn for themselves.This has many potential benefits for most industries and sectors, including the financial services industry. Machine Learning ExplainedMachine learning can be explained Read this Term and simulations to model different scenarios, including delayed incoming payments and faster cash outflows. The suite also provides real-time account scoring, recommendations and dashboards through Microsoft Power BI. Users can submit questions in natural language.

“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 Capital Markets at FIS.

The suite connects with FIS's receivables products, GETPAID and BillerIQ, and treasury products, Integrity and Quantum. FIS said deployment can take weeks rather than months.

Planned future releases include payment anomaly detection and dispute forecasting. The suite is also designed to help finance teams manage days sales outstanding, a measure of how long a business takes to collect payments Payments One of the bases of mediums of exchange in the modern world, a payment constitutes the transfer of a legal currency or equivalent from one party in exchange for goods or services to another entity. The payments industry has become a fixture of modern commerce, though the players involved and means of exchange have dramatically shifted over time.In particular, a party making a payment is referred to as a payer, with the payee reflecting the individual or entity receiving the payment. Most commonl One of the bases of mediums of exchange in the modern world, a payment constitutes the transfer of a legal currency or equivalent from one party in exchange for goods or services to another entity. The payments industry has become a fixture of modern commerce, though the players involved and means of exchange have dramatically shifted over time.In particular, a party making a payment is referred to as a payer, with the payee reflecting the individual or entity receiving the payment. Most commonl Read this Term.