The Deferred Inspection Problem

LinkedIn Post 1: The Deferred Inspection Problem

Your AI predictive maintenance system just recommended deferring a statutory pressure vessel inspection. Your competent person approves it.

But here's the question nobody is asking: Is that AI-powered recommendation actually valid under the UK Pressure Systems Safety Regulations?

The regulations place inspection responsibility on a "competent person"—someone with knowledge, experience, and accountability. An algorithm has none of these.

When AI recommends deferring an inspection, three gaps emerge:

1. Validation Gap: Can your competent person actually evaluate the AI recommendation? Most were trained in engineering, not machine learning.

2. Data Gap: Are the sensors feeding the AI reliable? Sensors drift. Drifting data = drifting decisions.

3. Accountability Gap: If the vessel fails after an AI-deferred inspection, who's liable?

These gaps are not theoretical. They're happening in organizations across the UK right now.

APMGA—AI Predictive Maintenance Governance Architecture—closes these gaps. It integrates AI into your written scheme while preserving competent person authority and ensuring accountability.

The future of pressure vessel inspection is not human or AI. It's both—but only if governance is in place.

What's your organization doing to govern AI-powered inspection decisions?

#PressureVessels #PSSR #AIGovernance #SafetyEngineering #PredictiveMaintenance