Case study
Process Optimization with NLP and LLMs
Natural-language processing was introduced where unstructured information constrained an otherwise automatable process.01 / Business challenge
The operating context
Important workflow signals were embedded in narrative content and required language intelligence alongside fixed fields and deterministic rules.
02 / What Primus delivered
A solution shaped around the client’s operating need.
Primus shaped a focused language-processing workflow around the operational task, integrated it with the surrounding process and kept review available for ambiguous or important cases.
03 / Delivery path
From operating problem to working capability.
- 01
Understand the work
Important workflow signals were embedded in narrative content and required language intelligence alongside fixed fields and deterministic rules.
- 02
Build and connect
Primus shaped a focused language-processing workflow around the operational task, integrated it with the surrounding process and kept review available for ambiguous or important cases.
- 03
Put the capability to use
Unstructured content became easier to route and use
04 / Business value
How the work improved.
- 01Unstructured content became easier to route and use
- 02Manual review focused on lower-confidence cases
- 03Language intelligence was connected to the business workflow
- 04A clearer boundary for responsible model use
05 / Technology & methods
Technology and delivery methods used in the work.
The story covers the operating problem, Primus responsibility, implementation approach and resulting capability.
Insurance