Agentic AI and large language models are converging with programmable payments to revolutionise finance whereby enabling intelligent wallets that automate decisions and real-time transactions. As legacy systems lag, countries such as the UK have a chance to lead by building secure, AI-powered financial infrastructure.
Discover how the blend of AI and APIs could revolutionize financial systems, as Dan Feaheny shares groundbreaking insights into programmable reasoning and real-time data in the fintech world. Using π as a metaphor for the continuous evolution of financial technology, Dan explains how agentic AI could transform payment processes and cash flow management.
The episode tackles crucial challenges facing traditional banks like Standard Chartered and HSBC, particularly their struggle to support small businesses effectively. Learn why the current SWIFT system is becoming obsolete and how a real-time identity wallet could streamline international transactions.
Key highlights:
- The role of programmable reasoning in finance
- How agentic AI could automate payment workflows
- The critical need for digital identity in financial systems
- Potential solutions for cross-border payment inefficiencies
- Impact of AI on workforce evolution and economic growth
Don't miss this fascinating exploration of how emerging technologies could reshape the future of finance and potentially save trillions in cross-border transactions. Listen now to understand the transformative power of AI in the financial sector.
00:00:00 - Introduction to Programmable Payments
00:01:08 - Moving to Dublin and Fintech Insights
00:02:25 - Banking and Technology Inflection Point
00:03:44 - Challenges in Cash Flow Management
00:05:06 - Impact of Agentic AI on Payments
00:07:20 - Challenges in Supply Chains and Trade Finance
00:09:22 - Challenges in Digital Payment Systems
00:12:20 - CBDCs vs Stablecoins: The Future of Value
00:14:04 - Agentic AI and Cost Effectiveness
00:15:36 - Job Creation and AI Controversies
00:16:24 - Impact of AI on Job Market
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