Most organisations hold more text than they can read: contracts, claims, support tickets, call notes. Extraction turns that into fields a system can use. The work is mostly in the unglamorous parts — the document variants, the edge cases, the confidence threshold below which a human should look.
Artificial Intelligence & Generative AI
Natural Language Processing
Turn documents, tickets and conversations into structured data.
Overview
What the engagement covers
- Extraction, classification and entity recognition for your documents
- Handling of formats, scans and the variants nobody mentioned
- Confidence scoring, with a threshold that routes to a human
- Evaluation against a labelled set drawn from real traffic
- Integration into the system that consumes the output
What you leave with
- Structured fields where there was unread text
- Manual review concentrated on the genuinely uncertain cases
- Accuracy per field, measured and reported
Artificial Intelligence & Generative AI
The rest of this practice
Natural Language Processing, scoped to your estate
Tell us where you are and what it has to be worth. We will come back with a scope, a sequence and a number.