📷 Agentic Payments in Wholesale Finance White Paper Launch Ceremony. Image: PRNewswire.
Deutsche Bank and Ant Digital Technologies published a white paper on November 9 titled “Agentic Payments in Wholesale Finance.” The paper explores AI agents in fund management, cross-border payments, and trade finance, with a focus on liquidity and crypto markets. It details how AI can predict liquidity gaps, evaluate fund transfers, and manage foreign exchange. The document also introduces a “Bounded Agentic Execution” model and a three-layer architecture, addressing risk-on assets and governance within the proposed framework.
BlockBeats report: On November 9, Deutsche Bank and Ant Digital Technologies jointly released the white paper “Agentic Payments in Wholesale Finance,” exploring the potential applications of AI agents in institutional fund management, cross-border payments, and trade finance, along with corresponding governance and risk control frameworks.
The white paper states that AI agents will futurely be capable of autonomously predicting liquidity gaps, evaluating fund allocation and foreign exchange transaction strategies, coordinating cross-border payment pathways, and handling trade finance documents, identifying data discrepancies, and generating payment instructions. Related applications are expected to enhance the automation and operational efficiency of complex financial services. In terms of risk control, the white paper advocates a “Bounded Agentic Execution” model rather than granting AI unlimited autonomy, and proposes a reference architecture composed of three layers: intent and orchestration, control and authorization, and settlement execution. Core safeguards include clearly defined and revocable permission boundaries, verifiable agent identities, and a Know Your Agent (KYA) verification mechanism. The white paper also cites Ant Group’s Anvita Flow agent platform as a real-world use case.
Source: kucoin.com
