RAG & Knowledge Systems for Insurance
Insurance work is document interpretation at scale: policy wordings, endorsements, underwriting guidelines, claims manuals, and a moving wall of state regulations. When an adjuster or underwriter acts on a paraphrased answer, the carrier owns the error, and regulators expect decisions grounded in the filed policy language. RAG systems for insurance exist for exactly this: every answer is retrieved from the controlling document and cited, so staff verify rather than trust. We build retrieval over your wordings, guidelines, and regulatory corpus, with the versioning and audit trail that the NAIC bulletin's governance expectations and a market conduct exam both point toward.
RAG & Knowledge Systems, built for insurance
We ingest policy forms, endorsements, underwriting guidelines, claims manuals, and state regulatory material, chunked by clause so retrieval returns the operative language.
Retrieval is jurisdiction-aware and version-aware, because the answer in Texas on a 2024 form differs from New York on a 2022 form.
Every answer carries a citation to the exact form, edition, and section, giving adjusters and compliance a verifiable trail.
We run continuous evals on graded question sets from your own files, measuring accuracy, citation correctness, and refusal on out-of-scope questions.
Where it pays off in insurance
Coverage question answering
Adjusters ask coverage questions in plain language and get answers cited to the policy form and endorsement actually on the risk.
Underwriting guideline lookup
Underwriters query appetite, eligibility, and referral rules with citations, cutting inconsistent decisions across teams.
Regulatory research
Compliance teams search state regulations, bulletins, and internal policy together to answer what applies where, with sources attached.
Claims manual assistant
Front-line staff get cited answers on procedure and authority limits, reducing escalations and rework.
Coverage and guideline questions that generated escalations and multi-day waits get answered in seconds with a citation to the controlling form, and carriers report meaningfully more consistent decisions across adjusters and regions.
Insurance AI, answered
Jurisdiction is a first-class retrieval filter. Questions are answered against the forms and regulations applicable to the state and effective date in question, and the citation shows exactly which edition the answer came from, so multistate consistency stops depending on individual memory.
It says so. We tune and measure refusal behavior on questions outside the corpus, because a wrong coverage answer is worse than no answer. Out-of-scope questions route to your experts, and those gaps feed the corpus roadmap.
It aligns well. Grounded, cited answers with logged retrieval give you a governable system: you can show what sources an answer used, who saw it, and how accuracy is measured over time, which fits the governance posture the NAIC bulletin expects.
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