Insurance claims automation is the use of AI to handle the claims journey end to end — taking first notice of loss (FNOL), collecting and validating documents, answering status questions, and progressing or settling routine claims — with minimal human intervention. It's also called AI claims processing or AI-assisted claims handling, and it sits within the broader category of AI for insurance customer service.
Claims are where insurers keep or lose customers, and where much of the cost sits. Automation removes the waiting: a customer can open a claim, upload evidence, and get a status answer at any hour, while straightforward claims move through validation and decisioning automatically and complex or high-value ones route to a human adjuster.
In the context of Zowie, insurance is policy-sensitive and regulated, so claim decisions can't be a model's best guess. Zowie's deterministic Decision Engine applies the insurer's coverage rules and thresholds exactly — the AI converses with the policyholder while a separate engine decides eligibility and next steps — and every interaction is logged for audit. That makes the automation safe for regulated lines, not just FAQ deflection.
Beyond claims, the same AI agent handles the rest of insurance customer service — policy questions, coverage explanations, document requests, renewals, and appointment scheduling — in the customer's language and across channels, so service stays consistent whether someone files a claim or asks about a premium.
In production with regulated insurers, AI agents resolve the large majority of routine inquiries autonomously while maintaining audit-grade traceability — Aviva, for instance, resolves around 90% of inquiries without accuracy trade-offs.
In summary, insurance claims automation compresses the slowest, most cost-heavy part of insurance into fast, auditable, around-the-clock resolution — with a rules-governed AI handling routine claims and service, and humans focused on the complex cases that need judgment.
Explore: Insurance, Decision Engine, Traces