Turns knowledge capture on its head: the agent asks, the experienced colleague just talks.
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Advisory and implementation for the public sector, starting with the AI readiness assessment.
The handover is planned as an overlap period: the experienced line operator is supposed to document what he knows. In everyday work, a breakdown gets in the way, and what ends up recorded is what the maintenance schedule says anyway. The special knowledge, the fault pattern with its three exceptions, stays in his head and leaves with him.
On the last working day, the six fault patterns sit as searchable entries in the knowledge base instead of in the colleague's head: up to 60% less knowledge loss.
The reduction of up to 60% in knowledge loss is this agent's headline figure. The six fault patterns without an entry and the nine months of onboarding sketch a typical handover; nobody counted them.
The agent goes through the plants and fault patterns the colleague was responsible for. It flags the topics for which there is no entry.
Topic list for Line 4, 23 topics, 6 with no entry in the maintenance scheduleFor every open topic, the agent asks follow-up questions until trigger, warning signs and procedure are named. The colleague talks; notes are taken as he speaks.
47-minute interview, 6 fault patterns captured with trigger and procedureThe agent files every topic as a draft with the plant reference and search terms. The colleague reads it through and releases what is correct.
6 drafts in the knowledge base, each with 1 plant number and 4 search termsIt presents the draft with the plant reference. Whether it goes into the knowledge base as it stands is for the colleague who described it to sign off.
It records what the colleague describes and marks the passage as experience-based knowledge. The technical assessment is for the head of maintenance.
An auxiliary unit the colleague never mentions never comes up in any interview. Knowledge management decides which topics belong on the list.
Connected systems
Operations
A pilot typically runs on your own data within 6 to 8 weeks. The agent connects to your existing systems rather than running as a separate, parallel environment.
EU cloud or private cloud. Processing is GDPR-compliant and models are never trained on your data. Details in the Trust Center.
It is based on experience from comparable projects and process benchmarks, not a commitment. We establish the realistic effect for your organisation in the assessment before the pilot.