Three portals — writer, tech, and manager — around one live board. Repair orders pull straight from your DMS, techs document with photos and video, and AI keeps customers informed without anyone picking up a phone out of guilt.
The writer pulls a repair order by number and the customer, machine, and every complaint line arrive from your DMS — scoped to the right store even when RO numbers repeat across locations. Assign a tech, set priority, mark ready-to-work.
Live columns from intake to complete, updating in real time as techs work. Ready-to-work flags, parts ETAs, priority customers, and attention alerts that use business days — not weekends — so Monday doesn't start with false alarms.
A tech's queue, big status buttons, and a job thread where photos, video, and cause-and-correction notes live forever with the job — searchable next time that machine comes back.
The moment a tech marks a job complete, AI reads the repairs that were actually performed — the cause-and-corrections, the parts, the complaints — and generates a QC checklist specific to this machine and this work. No generic form, nothing important skipped, no comebacks the customer finds first.
When a job's status changes, AI drafts the customer update in plain language. A writer approves it and it goes out as a text message. Every touch is logged, and the manager dashboard tracks contact cadence so quiet tickets can't hide.
Tech workload split, hours trends, intake vs. completion, QC flow, and a daily digest in your inbox before the morning huddle — across every location you run.