富士フイルムBI、複合機保守にAI導入 修理時間を半減

Fujifilm Business Innovation's move to embed AI in equipment maintenance reflects a broader trend of applying machine learning to field service operations. Historically, the maintenance of office equipment has relied heavily on individual technician expertise and experience, creating variability in response times and quality. By anchoring decisions to historical data and standardized recommendations, the company aims to reduce rework and speed first-contact resolution—a metric of critical importance in commercial service businesses where downtime directly affects customer productivity.

The trial results in Hong Kong and Australia provide concrete evidence of the value proposition: halving the diagnostic time is a significant operational gain. This early validation likely informed the company's decision to move to broader rollout across Asia first, suggesting either a focus on markets where the installed base is large or where technician expertise gaps are most pronounced, before expanding to Japan and Western regions by October.