This article explains agentic AI and its implications for risk decisioning in financial services. It distinguishes agentic AI from generative AI, highlighting how it enhances decision-making processes by adding tools, memory, and planning capabilities to existing models. The piece also reviews the evolution of risk decisioning from manual processes to modern automated systems.

This article discusses the fragmented nature of the fintech ecosystem and the importance of open standards for agentic AI. It highlights the formation of the Agentic AI Foundation and how interoperability can enhance AI's capabilities across financial systems. Without these standards, the industry risks repeating past mistakes of siloed solutions.

Agentic AI is revolutionizing the payments landscape by enhancing financial management through real-time decision-making, automation, and intelligence. It promises to improve credit assessment, support IoT commerce, and cater to the needs of remote workers while raising important regulatory considerations for the future of autonomous payments.