🧠 Food for thought

Implications, context, and why it matters.

Treasury’s AI adoption numbers look lower than the level of experimentation

• Fewer than 10% of corporate treasury teams use AI for core work such as financial forecasting or fraud detection, yet other surveys describe wider testing.
• One survey found 74% of corporate treasurers are expanding or actively using AI, though only 26% rated their capabilities as moderately or very mature. Most remain in pilots (42%) or early development and implementation (32%) 1.
• The gap between trials and mature use fits a cautious rollout, not a lack of interest.
• Use also shifts by sector. A survey of more than 250 treasury professionals found 55% of commercial real estate respondents have implemented AI in cash forecasting 2.

Banks and fintechs are selling tools that fill treasury’s AI gaps

• In-house hurdles like limited expertise or integration problems with existing systems and processes are pushing teams toward outside vendors.
• Rather than building everything internally, banks are adding fintech AI solutions (technology from financial-technology vendors) inside their platforms.
• U.S. Bank partnered with AI fintech Statement.io, which joined U.S. Bank’s Connected Partnership Network to bring its cash intelligence services to the bank’s corporate clients 3.
• Demand remains high. A Capgemini analysis found 70% of corporate treasurers say their cash-management needs aren’t fulfilled 4.