Agentic treasury runs on searchable, observable context
This transition reduces the manual effort required to reconcile fragmented data, allowing treasury professionals to identify cash shortfalls faster and ensure AI recommendations aren't caused by technical system failures.
- BNY published 'Re-architecting Treasury Management: From Systems of Record to AI Powered Decision Intelligence'
- Proposed an intelligence layer sitting above ERP and banking platforms to connect distributed financial data
- Described agentic treasury as a model where AI agents continuously monitor liquidity and assist in governed financial actions