Deutsche Bank, Ant Chart Agentic AI Path in Wholesale Banking

Deutsche Bank and Ant Digital Technologies have jointly outlined a path for bringing agentic artificial intelligence into wholesale banking. Their research report focuses on how systems capable of pursuing goals with limited human prompting could change institutional treasury, cross-border payments and trade finance.

Agentic AI differs from conventional automation because it can plan and execute sequences of tasks rather than follow a single fixed rule. In wholesale banking, that capability is being examined for processes that involve multiple steps, checks and data sources. The report frames the technology as an emerging tool for institutions rather than a settled part of daily operations.

For treasury teams, the appeal lies in handling repetitive, rule-heavy work while keeping people in control of decisions. Cross-border payments and trade finance involve coordination across documents, counterparties and jurisdictions, areas where software that can act on instructions may offer efficiency gains.

The report does not present a finished blueprint. It sets out areas for further work, including governance and oversight, as banks weigh where agentic tools can be trusted. The collaboration between Deutsche Bank and Ant Digital Technologies signals that major institutions are studying the technology's practical use in wholesale banking.