Lore surfaces knowledge risks from maintenance history, captures expert context at the right moment, and governs it into operational artifacts — before the expertise walks out the door.
Maintenance teams generate thousands of work orders, but the knowledge behind the resolutions stays in people's heads. When those people leave, the knowledge goes with them.
Your best technician retires in 18 months. Can someone else troubleshoot the RAS pump?
The same failure has happened 12 times. The fix is in one person's head.
Closures add detail every day; Lore helps turn that into governed knowledge the next shift can use.
Lore turns your existing work order history into a prioritized map of knowledge risk, then helps you close the gaps systematically.
Lore analyzes your work order history to find where knowledge is thin, concentrated, or at risk. Uses the exports you already create.
Selective prompts at work completion — voice or text. The right person, the right time, the right question.
A reviewer approves, classifies, and places each piece of knowledge where it belongs — asset notes, troubleshooting cards, SOP updates.
Built for plants that want proof from their own work order history. Short version here — the capabilities page goes deeper.
Severity-ranked knowledge risks drawn from your WO history, focused on what to fix first.
Human sign-off before anything becomes operational truth. Full edit history with explicit approval on every change.
Is knowledge moving from detection to placement? Throughput, coverage, and staleness in one view.
Flags when what technicians actually do diverges from the written procedure — so you can align field practice and the book on your timeline.
Lore does one thing well. It complements the systems you already run.
Your CMMS stays the system of record. Lore fills in what it misses: the knowledge behind the work orders.
Issues surface from analysis of your maintenance history onto a prioritized board for triage and assignment.
Technicians contribute in short bursts when a work order ties to a flagged gap — voice or text, timed to the job.