The Future of Payments: Canonical JSON Models + Agentic AI Explained

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Traditional financial messaging standards like ISO 2022 and UPI have often revealed the underlying complexities and fragmentation within banking systems rather than solving them. This video explores why true modernization isn't just about changing message formats, but about creating a shared, technology-agnostic foundation.

Learn how a canonical JSON model serves as a single source of truth, preserving business context across the entire payment lifecycle. We dive into the practical application of agentic AI, demonstrating how AI agents—powered by MongoDB Atlas—can autonomously detect and resolve payment errors, such as script mismatches in international transfers. Discover an architecture that moves beyond rigid schemas to support continuous change and real-time scalability in the global financial landscape.

00:00:00 The $100 Billion Failed Payment Problem
00:01:12 Why Messaging Standards Revealed System Gaps
00:01:40 The Rise of the Canonical Payment Model
00:02:21 Why JSON is the Practical Standard for Scale
00:02:47 Preparing Data Foundations for agentic AI
00:03:29 Why MongoDB Atlas for Modern Payment Rails
00:04:15 Live Demo: Intelligent Architecture Overview
00:04:46 Autonomous Error Resolution in Action
00:06:00 Human-in-the-Loop & Compliance Workflows
00:07:06 Conclusion: Moving Beyond Format Changes

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