NLP Incident Classification Agent
Reads the free-text notes on blocks and incidents, assigns the right category to each one and turns loose observations into a fully structured history.
THE CONTEXT
Incidents live as loose free-text notes in the log
Every block and incident is documented as free text in the observations field: maintenance, operational issues, security or paperwork mixed in the same note. Nobody can measure causes or trends because the data exists but carries no structure anybody can query.
THE SOLUTION
Free-form text converted into measurable categories
Silia reads every logged observation, classifies the incident into the right category with the language model and writes the result to the operational table. The per-vehicle history gains structure from day one and causes can finally be counted and compared.
KEY CAPABILITIES
Four capabilities that structure the unstructured
Language classification
Interprets the free text of every observation and assigns the correct incident category with no rigid dictionaries or brittle rules.
Client-defined categories
Works with the category catalog your operation defines and adjusts with real examples whenever new or ambiguous cases appear.
Structured writing
Logs the category of every incident in the Silia operational table, linked to the vehicle, the exact date and the source event.
Trends by cause
Enables counting and comparing causes by unit, fleet and period, feeding the reports, the scores and the operational history.
Before / After
The difference between loose notes and a cause history you can measure.
Observations with no shape
Causes impossible to count
Diagnosis with no history
System Integrations
Connects to what your operation already uses
The agent reads the observations field from the data lake, classifies with the Silia language model and writes the category to the operational table.
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