Reliability KPIs without spreadsheets
MTTR and MTBF are computed from incident timestamps automatically. Uptime and downtime roll up by asset, category, department and hospital.
MTTR, MTBF, uptime, PM compliance and maintenance cost — by asset, category, department and site — generated from the work your team already records.
MTTR and MTBF are computed from incident timestamps automatically. Uptime and downtime roll up by asset, category, department and hospital.
Service costs, parts and AMC spend accumulate per asset — surfacing the machines whose total cost argues for replacement.
Completion rates by month and department show whether planned work is actually happening — the leading indicator of downtime to come.
"Downtime by department this quarter?" "Which vendor missed SLAs?" Scout answers in plain English with charts and the exact query it ran — analytics without an analyst queue.
Every view exports for management reviews, NABH/JCI submissions and capex proposals.
From breakdown report to verified resolution: triage, assignment, downtime clock and a closing verification step that keeps the record honest.
Learn more →Recurring PM cycles, a live maintenance calendar and completion checklists — so planned maintenance actually happens on plan, and the record proves it.
Learn more →AMC terms, warranty windows and renewal dates tracked against each asset — so service that’s covered gets claimed, and renewals get negotiated on data.
Learn more →Downtime, uptime, MTTR, MTBF, PM and calibration compliance, incident volumes and maintenance cost — sliceable by asset, category, department and site.
From incident report and resolution timestamps recorded in the normal workflow — no manual time tracking required.
Yes. Scout, Atto’s AI analyst, answers plain-English questions about your operational data with tables and charts.
A 30-minute walkthrough with your asset categories, your PM cycles, your questions — no generic demo script.