By Anshika Mathews · AIM Media House
“AI’s transformative potential so far exceeds that of most modern innovations that it may be better compared to the steam locomotive,” says Dilip Venkatachari , senior executive vice president and chief information and technology officer at U.S. Bancorp.
It is a comparison drawn from decades spent working across analytics, financial systems, and digital infrastructure which are fields where he holds more than a dozen U.S. patents.
The scale of what the bank has started rolling out is a series of AI-powered tools meant to change how corporate clients manage liquidity and how employees deliver technology inside one of the country’s largest financial institutions. U.S.
Bank Liquidity Manager , is a new forecasting and cash-visibility product developed with Kyriba which arrives at a moment when many finance teams are still stitching together spreadsheets, manual reconciliations, and multi-bank portals to understand something as fundamental as their daily cash position.
For treasurers working across continents and currencies, that lack of visibility can create delays, uncertainty, and operational strain.
The bank’s answer is a platform that blends traditional forecasting techniques with advanced AI , allowing companies to analyze historical patterns, predict near-term cash flows, and run scenario planning as conditions change.
The engine behind this capability is Cash AI , Kyriba’s forecasting layer that adapts to new information and continuously refines projections. Treasurers receive not just baseline forecasts but dynamic updates that reflect working-capital movements as they happen.
Liquidity Platform Designed for Fragmented Cash Environments According to Kristy Carstensen , who leads Treasury and Payment Solutions at U.S.
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