Success Stories

Simulation-Aware FMEA Analysis

Power Generation
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Simulation-Aware FMEA Analysis

BKOAI’s developed a simulation-aware FMEA system that combines Deep Search Agents with the Agent-as-a-Service (AaaS) framework to make risk analysis adaptive and data-driven

Goals

  • Transition from static, manual risk analysis to dynamic, data-driven reliability.
  • Accelerate decision-making through parallelized failure analysis.
  • Integrate historical, operational, and predictive data into one workflow.
  • Shift FMEA from reactive reporting to proactive risk prevention.

Challenges

  • Traditional FMEA relies on static knowledge bases that require manual updates.
  • Sequential investigations follow fixed paths, slowing decision-making.
  • Siloed data prevents integration of simulations, maintenance logs, and live sensors.
  • Failure analysis often occurs only after events rather than anticipating risks.

Solutions

  • Deployed an Orchestrator Agent to run parallel, multi-agent analysis workflows.
  • Integrated Graph, Document, Log, and Predictive Agents for comprehensive analysis.
  • Utilized a Synthesizer Agent to unify knowledge and deliver actionable predictions.
  • Combined FMEA records, simulation results, maintenance histories, and live sensor data.

Results

  • Enabled dynamic adaptation by continuously incorporating new data and simulation results.
  • Reduced analysis timelines significantly through simultaneous agent execution.
  • Shifted reliability workflows from reactive reporting to proactive risk prevention.
  • Delivered integrated intelligence across historical, operational, and predictive insights.