Open-source LLMs for insurance
Insurers use open models for claims intake, policy servicing, underwriting summaries and fraud triage with a full audit trail.
Where insurance teams use language models
- First notice of loss intakemedium risk
Structured claim capture from calls, forms and photos
- Claims document summarisationmedium risk
Medical reports, police reports, invoices into adjuster summaries
- Underwriting file summariesmedium risk
Applications, inspections, loss runs
- Policy & coverage Q&Alow risk
Answer coverage questions from wording documents
- Claims fraud triagehigh risk
Flag inconsistent narratives for SIU review
- Renewal & retention outreachlow risk
Personalised renewal explanations
- Subrogation & recovery lettersmedium risk
Draft demand letters from claim files
- Agent / broker copilotlow risk
Quote explanations, product comparisons
- Actuarial & reserving assistantmedium risk
Explain models, draft methodology notes
Claims and underwriting decisions are regulated, so the playbook separates drafting and summarisation (allowed) from automated decisions (usually not), and adds explainability and audit-trail questions.
Frequently asked
Can an LLM decide insurance claims?
In most jurisdictions automated claim denials require human review and explainability. Use the model to extract, summarise and draft, and keep the adjuster as the decision-maker with a logged trail.