AI-Assisted Maintenance Platform: Imprenta Mariscal
The person responsible for maintenance (tracking, reporting, staying on top of everything) resigned, leaving a lot of loose operational threads with no owner.
I built a maintenance request-tracking PWA (Next.js, FileMaker Data API, Supabase) with generative AI wired into four real friction points: photo-based damage classification, voice-note transcription and cleanup, structured close-out report extraction, and quote/PDF data extraction. All AI calls use structured outputs (JSON Schema) to guarantee parseable results, with a human reviewing and confirming every output. No autonomous agent, no memory between calls: targeted AI inside a deterministic app that also handles routing, notifications, and sync.
The factory has run its maintenance workflow for two months in production without backfilling the vacant coordination role, avoiding roughly $13,000/yr in salary cost, about 13× ROI on what I charged to build it.