Maintenance Teams Are Quietly Adopting AI Ahead of Corporate Strategy

The gap between individual initiative and corporate policy is most pronounced among senior management. Directors and VPs of Operations expressed the highest levels of concern regarding their companies falling behind, yet they are the least likely to work in environments where AI is regularly deployed. According to UpKeep CEO Ryan Chan, the prevailing inefficiency stems from legacy software systems that teams have spent years working around. AI now offers a way to bypass these constraints, though the primary driver remains personal productivity rather than top-down mandates.

Efficiency remains the primary motivator, with 43% of staff identifying administrative paperwork—such as drafting work orders and searching historical records—as the most effective use for AI. Technical diagnostics, by comparison, ranked far lower at 13.7%. As maintenance supervisors increasingly build their own custom applications to bridge these gaps, the challenge for companies is transitioning these isolated workflows into governed, organization-wide systems. Unless leadership integrates these grassroot tools into a unified platform, the time saved by individual technicians risks remaining outside the visibility of the broader operation.