Success Stories

Simulation-Aware Decision Engine

Power Generation

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Simulation-Aware Decision Engine

The MCP architecture connects LLM agents to engineering simulations through a lightweight client-server framework.

Goals

Bridge the gap between advanced engineering simulations and business decision-makers.
Translate complex technical simulation outputs into actionable commercial and financial
Planners and commercial leaders can quickly assess how operational changes affect revenue and supply chain efficiency.
Business teams can now execute runs and extract insights using natural language.

Challenges

Advanced engineering simulation models are isolated from business workflows and key users.
Simulation outcomes rarely impact high-level pricing, planning, or revenue strategies.
Address the key constraints noted in the source.
Reduce manual effort across the current process.

Solutions

Implement a lightweight Model Context Protocol architecture to connect LLMs with simulations.
Enable LLM-based agents to generate inputs and execute simulation runs via natural language.
Integrate and contextualize simulation outputs automatically with production and market data.
Apply the described approach to the core problem.

Results

Empowered non-technical business teams to control complex engineering models.
Aligned technical engineering simulation insights directly with financial and commercial
Provided scalable, real-time model-based recommendations across multiple business departments.
Improved clarity over the previous approach.