Vamsee Pamisetty on Building Decision Intelligence That Stakeholders Can Actually Trust

This story was originally published on HackerNoon at: https://hackernoon.com/vamsee-pamisetty-on-building-decision-intelligence-that-stakeholders-can-actually-trust. Vamsee Pamisetty introduces an explainable AI framework that brings transparency, auditability, and trust to enterprise decision intelligence. Check more stories related to undefined at: https://hackernoon.com/c/undefined. You can also check exclusive content about #explainable-ai-in-supply-chain, #adaptive-trust-model-ai, #ai-governance-systems, #district-of-columbia-difs, #enterprise-ai-intelligence, #agentic-ai-framework, #vamsee-pamisetty, #good-company, and more. This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com. Enterprise architect Vamsee Pamisetty presents a framework for explainable agentic AI that helps organizations build transparent, auditable, and trustworthy decision intelligence. Drawing on experience leading integration architecture for the District of Columbia’s Oracle Cloud financial platform, his research introduces adaptive trust models and explainability metrics for AI in finance and supply chains.