Insurance Submission Intake Software That Actually Learns

Why Traditional Intake Automation Fails

Most insurance organizations attempt to solve the intake problem with one of two flawed approaches: hiring more administrative staff into a shrinking labor pool, or deploying rigid Robotic Process Automation (RPA).

Traditional software extracts data the same way every time. When a broker changes their formatting or a new schedule of values arrives with merged columns, static rules break. The system fails, and the work falls back onto your underwriters.

The Cazimir Advantage: Intelligence That Compounds

Cazimir is built differently. As a Learning Insurance Operations Platform, it does not rely on brittle templates.

• It ingests anything: Drop in a full submission package—ACORD forms, loss runs, supplemental applications, and property schedules—regardless of format or quality.
• It extracts and structures: The platform automatically classifies documents, extracts critical underwriting data, normalizes inconsistent formats, and scores confidence on every field.
• It learns from your team: Every time an underwriter validates a result or corrects a flagged inconsistency, the system learns. Your 100th submission from a specific broker processes significantly faster and more accurately than your 10th.

Evidence-First Submission Processing

Trust is the currency of underwriting. Black-box AI that hallucinates values introduces unacceptable regulatory and operational risk.

Cazimir operates on an evidence-first principle. Every extracted data point links directly back to its source document and page. When an underwriter questions a value, one click reveals the exact cell in the original broker spreadsheet. This provides complete auditability for capacity partners and regulators, ensuring compliance with standards like the FCA Consumer Duty.