Bank of America Expanded Treasury Data Capabilities
Corporate treasury teams gained access to new AI-driven insights for managing high-volume payment and working capital flows.
Updated on Sept. 28, 2026 in Financial Services
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Bank of America has launched new payment analytics and generative AI intelligence tools for treasury clients. These capabilities are designed to help corporate teams better navigate complex cross-border flows and optimize working capital management.
Why it matters
Corporate treasury operations have struggled with internal tools that failed to match the speed required for modern payment and foreign exchange management. These updates aim to resolve those data bottlenecks by centralizing client, account, and relationship information for faster decision-making.
The bank debuted two new tools, Payments Insights and the AskGPS Intelligence Hub, which provide data on cross-border flows and working capital vs. the previous fragmented manual systems. The scope of the rollout covers all CashPro clients across the United States.
The players
Bank of America
A global financial institution providing banking, investment, and asset management services to corporate and individual clients.
The details
Payments Insights centralizes payment and working capital data to support treasury strategy, while the AskGPS Intelligence Hub leverages generative AI to unify client and account information. These systems aim to streamline treasury reviews and the creation of Digital Account Schematics by surfacing actionable insights that were previously difficult to synthesize from disparate internal datasets.
Timeline
2025: Bank of America first unveiled the initial version of its AskGPS solution.
September 28, 2026: The bank launched its new Payments Insights capability and the AskGPS Intelligence Hub.
Market Landscape
This development follows a pattern of financial institutions integrating generative artificial intelligence to replace legacy, manual treasury management software. It directly addresses the market shift toward automating high-volume foreign exchange and payment reconciliation processes.
Treasury managers should evaluate how these data integration tools can reduce time spent on manual account reconciliation and working capital reporting. Consider testing these insights against existing quarterly review workflows to identify potential improvements in liquidity planning.
The takeaway
The move signals a shift toward AI-assisted treasury management where firms can process complex payment data in real-time. Managers should audit their current treasury reporting cycle to determine which manual tasks could be automated using these centralized intelligence platforms.
Further reading
For more on evolving institutional banking tools, visit the Financial Services section.
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