About AI-PSM

Built from operating experience, not from a blank-sheet AI concept.

AI-PSM Sentinel reflects decades of refinery, asset-integrity, reliability and process-safety experience translated into a modern AI-enabled decision-support platform.

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Domain expertise first.

Michael Marshall, PE has more than four decades of oil and gas experience spanning engineering, operations, maintenance, inspection/reliability management and process safety. The AI-PSM concept grew from practical work connecting mechanical availability, asset integrity, incident learning and management-system performance.

The product thesis is straightforward: use modern AI to scale the analysis and learning that experienced subject-matter experts already know is valuable, while keeping human authority over safety-critical decisions.

40+ yearsOil & gas experience
Operations + EngineeringPlant and technical perspective
Reliability + MIAsset-centered risk thinking
Process SafetyIncident learning and governance
Why now

The analytical methods are not new. The ability to scale them is.

Industry has long understood the value of incident learning, bad-actor analysis, risk ranking, barrier assurance and systemic RCFA. Modern retrieval, machine learning and LLM methods make it possible to apply that discipline across far more operational evidence than a small SME team can manually review.

Meet around the use case

Start with the operating problem—not a generic AI pitch.

See how AI-PSM Sentinel would approach the specific evidence, decisions and governance needs in your environment.

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