Simulation-Aware Decision Engine

Overview

We developed a Model Context Protocol (MCP) architecture that enables LLM-based agents to interface seamlessly with complex engineering simulations via a lightweight client-server framework..

Challenge

◼Simulation Silos: Advanced models are often disconnected from business users and workflows.

◼ Limited Business Impact: Simulation results rarely translate into pricing, planning, or revenue strategies.

◼ Interface Complexity: Legacy tools require deep technical expertise to run and interpret simulations.

Solution

◼LLM Agent Integration: Agents can generate inputs, execute runs, and extract relevant outputs in natural language.

◼ Linked Intelligence: Simulation outputs are automatically contextualized with production and market data.

Key Benefits

◼ Accessible Simulation Control: Business teams can engage with complex models through simplified interfaces.

◼ Commercial Optimization: Aligns engineering outputs with financial decision-making.

◼ Scalable Intelligence: Supports real-time model-based recommendations across departments.

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