How Lore surfaces knowledge risks, captures expert context, and governs it into artifacts your team can actually use.
Lore ingests patterns already sitting in CMMS exports: repeated failures, resolution time volatility, concentration of work in one expert, retirement exposure, and more. The output is a prioritized issue board — specific knowledge risks with clear next steps.
That is the wedge: showing gaps from data you already have, before asking technicians to adopt a new habit.
Capture is selective. What comes back goes through a reviewer workflow: approve, edit, classify destination, and track placement into real artifacts (notes, troubleshooting cards, WO context, SOP deltas). Every item reaches “official” status only after reviewer sign-off.
Lore is CMMS-adjacent: it produces governed knowledge and hands it to operational systems while your CMMS remains the system of record.
Maintenance leaders need to know whether the organization is getting smarter or leaking knowledge. Lore surfaces metrics such as how fast issues turn into captured knowledge, how long review takes, and whether approved knowledge actually reaches its destination.
The labels can get technical in-product; the idea is simple: throughput, coverage, and staleness — is knowledge moving end-to-end?
When you have written procedures, Lore can compare what technicians record in work orders to what the SOP says. Large or repeated gaps surface as drift: the field story and the book diverge. That is a governance signal — often a change-management or MOC conversation — with your team updating the controlled procedure.
Assets, experts, failure modes, and issues connect in a knowledge structure behind the scenes. The value is situational awareness: who holds concentrated knowledge, what breaks if they leave, what relates to what — presented for leadership and reviewer action.
Lore may use modern models for structured extraction, similarity, or assistive checks. The product stance stays consistent: reviewers decide. Models surface candidates and summarize evidence; sign-off, safety culture, and your change process stay with your people and procedures.
Lore is a governance workspace for knowledge risk: reviewers triage signals, approve knowledge, and route artifacts into operational destinations.