AI employees for insurance

Submissions, first notice of loss, claim files, and service calls all have to be handled fast and by the book - it's where the labor and the leakage live. Deploy employees that intake submissions, take the loss call, work the claim to decision-ready, and service the policy.

Insurance runs on high-volume, time-critical, by-the-book work: keying broker submissions before any risk analysis, taking the loss call cleanly at any hour, working the claim file, and handling the flood of routine service requests. It's where carriers and agencies pour labor - and where speed decides the experience and the loss ratio. A GreatApe employee takes that work end-to-end - in your underwriting, claims, and policy systems - and keeps a human on the decisions: the underwriter prices the risk, the adjuster decides the claim. It does the intake, the prep, and the servicing, never the adjudication.

Minutes, not hours
Submissions and claims worked while they're fresh
By the book
Within your rules, scripts, and compliance
HITL
Underwriters and adjusters own the decisions
Never adjudicates
It preps; it never prices risk or decides coverage
Audit-ready
Every interaction and action logged for review
In your core systems
Guidewire, Duck Creek, and Applied Epic, no rip-and-replace
The employees

From the submission to the settled claim

Questions

Frequently asked

The high-volume operational work across the lifecycle: underwriting submission intake, first notice of loss and claims intake, claims processing up to a decision, policy servicing, and commercial KYB. The decisions stay with people - the underwriter prices the risk, the adjuster decides and pays the claim.

Related
AI employees for financial services →AI employees for support teams →Pricing →

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