Rewiring Enterprise Intelligence: How LangGraph + MCP Servers Power Probabilistic AI Agents

Author(s): R. Thompson (PhD)

Originally published on Towards AI.

🔍 From Suez Canal Blockages to Fraud Flags — Building AI that Thinks in Probabilities 🧠

In today’s volatile and fast-evolving enterprise landscape, decision-making systems face increasing complexity and ambiguity. Business operations are subject to real-time disruptions — ranging from extreme weather to supply chain bottlenecks, economic volatility, and cyber fraud.

The article discusses the application of agentic AI workflows that integrate probabilistic reasoning to improve decision-making in complex enterprise scenarios, focusing on topics such as supply chain disruption management, Model Context Protocol (MCP) architecture, and real-time adaptability. It emphasizes the necessity of incorporating uncertainty into AI systems to enhance their operational effectiveness and underscore the importance of leveraging tools like LangGraph and MCP servers for creating reliable and dynamic AI-driven solutions that can cope with unpredictable environments.

Read the full blog for free on Medium.

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Published via Towards AI