Lore works with data you already have. No new sensors, no new apps for technicians to learn, no months-long implementation.
Upload a CSV or XLSX export of your work order history and workforce roster. Lore's gap engine analyzes the data to surface prioritized knowledge risks — no manual tagging, no interviews, no consultants.
Assets with repeated corrective work but no documented troubleshooting procedure.
Critical tasks handled by a single technician — especially those approaching retirement.
Patterns in work orders that suggest actual practice has diverged from documented SOPs.
Expensive assets with poor troubleshooting coverage or excessive resolution times.
Experienced technicians with deep expertise on critical assets and no documented backup.
Undocumented workarounds and tribal knowledge that live outside the official system.
Issue Board
Prioritized list of knowledge risks with severity, asset, and recommended next action
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When a work order closes on a flagged issue, Lore sends a targeted prompt to the technician who just did the work. Voice or text, 60 seconds, done. No app to install, no form to fill out.
Each prompt is tailored to the specific knowledge gap Lore has identified — not a generic "what did you do?"
Lore prompts rarely, for very good reasons. No survey fatigue. Design principle: under-prompt, not over-prompt.
Tap to record a 60-second voice memo, or type a few sentences. Lore transcribes and structures it automatically.
Capture Page
Mobile-friendly capture interface with voice recording and text input
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Every piece of captured knowledge enters a governed review workflow. A reviewer approves, edits, classifies the destination, and places it where it belongs. Nothing goes live without human judgment.
Pending entries from technician capture, reviewer authoring, and promoted Q&A — all in one place.
Each approved entry is formatted for its target: asset notes, troubleshooting cards, WO notes, SOP deltas, or MOC drafts.
Track whether approved knowledge has been exported, delivered, and acknowledged in the target system.
Who contributed, who approved, what changed, when it was placed. Complete audit trail from raw input to operational artifact.
Review Inbox
Pending knowledge entries with source type, contributor, and destination
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Lore does one thing well. Here's what we intentionally leave to other systems:
Want the deeper product story without jargon overload? Read capabilities