The CFO Suite combines cash forecasting, invoice management, collections and payments in one system, according to a Thursday (June 11) press release. The new software platform is designed to help finance teams as businesses face growing pressure to modernize their operations.
The suite brings together treasury forecasting, accounts payable (AP), accounts receivable (AR) and payments processes. The offering is aimed at addressing the challenge of fragmented systems that leave cash data spread across enterprise resource planning platforms, banks, spreadsheets and point solutions, the release said.
The platform is powered by Bottomline’s BEA Agentic Platform, an AI orchestration engine that operates within existing finance processes rather than requiring companies to replace core systems, according to the release.
“Finance leaders are being asked to move faster, manage risk more tightly and show where AI can create value, but they are often doing that with disconnected systems and delayed data,” Bottomline CEO Craig Saks said in the release. “Bottomline’s CFO Suite is designed to close that gap by connecting the workflows that determine cash, working capital and risk, while giving teams a controlled way to apply AI inside the processes they already rely on.”
Finance teams can use the platform to improve cash forecasting, automate invoice and collections workflows, accelerate cash application and reconciliation, and manage exceptions while maintaining audit trails and human oversight, according to the release.
The launch builds on Bottomline’s broader push into AI-enabled finance tools. In October, the company said it was developing its BEA AI agent for treasury and cash management workflows, giving finance teams conversational access to financial data and predictive insights.
More broadly, finance chiefs have been showing growing demand for automation that improves cash visibility and predictability. CFOs increasingly view AR automation as a tool for strengthening cash forecasting and reducing payment friction.
PYMNTS Intelligence research found that finance leaders are embracing AI for monitoring and analytical tasks while maintaining strong preferences for human oversight, particularly in high-risk financial decisions and cross-system workflows.
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