Use Cases for Insurance Operations

Claim submitted via portal, app, or agent.

AI extracts claim data, validates documentation completeness.

Complexity scoring applied (routine vs. complex).

Routine claims auto-approved within policy parameters.

Approved claims trigger payment processing.

Complex claims routed to specialized adjusters with AI-prepared summary.

Decision rationale logged for compliance and explainability.

New submission received from agent or applicant.

AI assembles risk profile from multiple data sources.

Red flags surfaced (claims history, exposure factors, anomalies).

Pricing range recommended with rationale.

Underwriter reviews AI summary, applies judgment.

Decision documented with explainability trail.

Policy issued or declined; feedback trains AI.

New client signs application.

AI verifies identity, validates documents, checks compliance requirements.

E-signature workflow triggered for required forms.

Outstanding items requested from client via chatbot.

Client uploads remaining documents.

Policy generated and bound.

Welcome packet auto-sent, agent notified.

90 days before renewal, AI scores client retention risk.

Risk drivers identified (claims experience, premium changes, service issues).

Personalized retention strategy recommended (call, discount, coverage adjustment).

Account manager engages high-risk clients.

Lower-risk clients receive automated renewal communications.

Renewal outcomes tracked, model retrains.

Compliance rules and required documentation defined per policy type.

AI continuously checks every policy and claim against compliance requirements.

Exceptions flagged in real time.

Audit-ready packages auto-assembled per policy.

Compliance officer reviews exceptions, addresses gaps.

Audit trail logged automatically.

Client calls or chats with question.

AI handles routine inquiries: policy details, billing, document requests, claim status.

AI verifies identity before sensitive transactions.

Complex questions routed to live agent with context pre-loaded.

Agent picks up with full conversation history.

Post-interaction feedback collected and analyzed.