Maritime · Operations
AI for maintenance knowledge retrieval
Can AI capture what our retiring operators know?
The challenge
Manuals, service history and operator notes are scattered, and the people who hold the tacit knowledge are approaching retirement.
Prerequisites
- Digitised manuals
- Work order history exportable from the CMMS or ERP
The approach
- Consolidate manuals, work orders and engineer notes into one retrievable corpus
- Plain-language search on the floor, on the devices people already carry
- Structured capture interviews with senior operators before they leave
- Answers cite the document and revision they came from
What makes it work
Knowledge capture is a deliberate interview programme, not a hope that the model infers it.
What we would measure
Mean time to repair
On recurring fault classes
Search success
Share of queries answered on the floor
Knowledge coverage
Assets with documented tacit procedure
Risk position — Limited risk. Safety-critical procedures remain human-authorised.
Baselines are established in your business during the assessment. We publish no borrowed benchmark numbers.
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