NLP for unstructured operational text

The problem

Large volumes of operational text sat unused because reporting could not query it systematically.

Approach

Language-model pipelines for information extraction and search, with structured outputs that downstream reporting can actually consume.

Outcome

Unstructured text becomes a first-class input to analytics rather than a dark archive.