Predictive Maintenance vs PPM: Does AI Replace Planned Maintenance?

A common claim in facilities technology marketing is that AI predictive maintenance (PdM) makes Planned Preventative Maintenance (PPM) obsolete. In commercial real estate, this claim collapses upon contact with UK statutory legislation and mechanical reality. Predictive maintenance does not replace PPM; it refines intervention timing on high-criticality assets while standard PPM protects life safety and building fabric.

The fundamental difference in methodology

Preventative maintenance operates on time-based or run-hour intervals, such as servicing an air handling unit every quarter or testing emergency lights every month regardless of perceived condition. Predictive maintenance continuously measures operational variables (vibration spectrums, thermal delta-T, electrical harmonic distortion) to identify the specific onset of physical degradation.

The statutory barrier to eliminating PPM

Under UK safety law, building duty holders cannot substitute sensor analytics for mandatory physical inspections. The Pressure Systems Safety Regulations 2000, Gas Safety (Installation and Use) Regulations 1998, and Lifting Operations and Lifting Equipment Regulations 1998 (LOLER) explicitly mandate physical examinations by certified competent persons. An AI algorithm cannot legally sign off a statutory compliance record.

• LOLER 1998 mandates thorough examination of passenger lifts every 6 months
• BS 5266-1 requires monthly functional testing and annual 3-hour discharge testing for emergency lighting
• ACOP L8 requires monthly temperature monitoring at sentinel water outlets
• BS 7671 recommends periodic electrical inspection (EICR) every 1 to 5 years depending on premises type

The hybrid maintenance model

The most effective commercial strategy uses PPM as the compliance and fabric baseline, while deploying IoT sensors and predictive algorithms selectively on high-capital plant (such as centrifugal chillers, main boiler burners, and primary water pumps), where unexpected failure carries severe financial or operational consequences.