Saraswati Stitch®contact@saraswatistitch.com
Insurance is document-heavy and rule-bound, and generic AI tools misread the specifics that matter: your forms, your risk appetite, your definitions. A custom model built on your own data, for reading documents or triaging risk, delivers where off-the-shelf cannot, as long as it stays explainable and a licensed human owns every underwriting and claims decision.
Documents carry trapped data
Applications, claims, and policy documents hold structured information locked in unstructured files, and extracting it by hand is a large, repetitive cost.
Risk triage is inconsistent
Sorting applications and claims by risk and complexity by hand is slow and varies between people, which is exactly where a model trained on your data helps.
Generic tools misjudge your book
A model trained on someone else’s data does not know your risk appetite or your definitions of normal, so its judgements do not fit your book.
How it works
- Define the decision and the rules. We start from what you need, reliable extraction or consistent triage, and the specific rules and definitions of your insurance operation.
- Build on your data. A model is trained and validated on your own documents and history, so it reads your forms and reflects your risk appetite, not a generic one.
- Keep it explainable and auditable. Every extraction and triage decision comes with its basis and is logged, so it stands up to a regulator and a reviewer.
- Keep the licensed human in control. The model extracts and triages; underwriting and claims decisions are made by a licensed person. It never decides coverage on its own.
Tools we reach for
- your documents and history as training data
- a model fit to the task (extraction / triage)
- an explainability + audit layer
- a licensed-human decision step
What changes
A model that reads your documents and triages your risk accurately because it was built on your book, saving hours of manual work while staying explainable, auditable, and firmly under licensed human control.