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Industries · Insurance

Underwriting and Claims AI That Compliance and Claims Leaders Both Sign Off On.

Submission intake, loss runs and claims triage, with an audit trail on every decision.

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Overview

What we do in insurance

Insurance runs on documents: submissions, ACORD forms, loss runs, claims reports. Most of it arrives unstructured and is re-keyed by hand, which slows every decision and invites errors. We build systems that read, check and file those documents, and keep a person in the loop wherever judgment or regulation requires it.

Read the insurance case study →

Compliance & certifications

Built to the frameworks your industry expects

Access controls, encryption, audit logs and human review are designed in from the start.

SOC 2State insurance regulationsGLBAGDPR (EU data)NIST AI RMFAudit log retention

Placeholder list: these are frameworks relevant to this industry. Confirm which certifications and attestations Swifstack actually holds before publishing.

Use cases

Where insurance teams start

01

Submission and ACORD intake

Classify, extract and validate fields from incoming submissions and write them into the policy system.

02

Loss run extraction

Turn loss runs from many carriers into structured, comparable data.

03

FNOL and claims triage

Capture first notice of loss, check coverage, and route claims by complexity and severity.

04

Underwriting copilots

Summarize risk, surface missing information, and cite the source behind every suggestion.

05

Policyholder voice agents

Handle status, certificate and billing calls, and hand complex cases to staff with a summary.

06

Agent and broker follow-up

Chase missing documents and quote follow-ups automatically, with clear escalation paths.

Related industries

Similar problems, similar playbooks