Success Stories

Simulation-Aware Decision Engine

Power Generation

Read Success Story

Simulation-Aware Decision Engine

BKOAI’s MCP architecture connects LLM agents with engineering simulations through a lightweight client-server framework

Goals

Connect advanced engineering simulations with business planning workflows.
Make simulation inputs and outputs accessible through natural-language interactions.
Translate technical results into information that supports operational, commercial, and financial decisions.
Reduce the time and specialized effort required to run simulations and interpret results.

Challenges

Advanced engineering simulation models are often isolated from business workflows and key decision-makers.
Preparing and running simulations can require specialized technical expertise and significant manual effort.
Complex simulation outputs can be difficult for nontechnical stakeholders to interpret and apply.
Simulation results are not always readily combined with production and market data for planning purposes.

Solutions

Implement a lightweight Model Context Protocol architecture connecting AI agents with engineering simulation tools.
Enable AI agents to prepare inputs, initiate authorized simulation runs, and return results through natural-language interactions.
Contextualize simulation outputs with relevant production and market data.
Present results in a consistent format that supports operational, commercial, and financial analysis.

Results

Expanded access to engineering-simulation insights for planning and commercial teams.
Reduced the manual effort required to prepare simulation runs and interpret their results.
Connected engineering outputs with relevant commercial and financial context.
Supported faster, better-informed scenario evaluation across business functions.