Underwriting and claims throughput, without the manual drag.
Insurance operations generate massive document volume — applications, policy forms, claims filings, medical records, loss runs. Most of this data enters your system through manual keying or basic OCR that still requires human review. AI changes the throughput equation without changing your control framework.
Every touch is manual today. It doesn't have to be.
Your best underwriters and adjusters spend most of their time on data entry and document handling — the same people you hired for risk judgment. Here's what changes.
Submission intake
Today: Underwriters manually extract data from ACORD forms, supplementals, and loss runs, then key into rating systems. Hundreds of submissions daily — most declined after manual review.
With AI: Automated extraction, risk scoring, and triage by class. Underwriters review pre-scored, pre-populated submissions. Quote turnaround materially compressed for standard risks.
Claims handling
Today: FNOL intake, coverage verification, reserve setting, and vendor assignment are sequential manual workflows. Adjusters spend more time on paperwork than investigation.
With AI: Multi-channel FNOL capture, automatic coverage verification, reserve estimation from historical comparables, and fraud indicator flagging — all before assignment.
Policy servicing
Today: Endorsements, renewals, and certificates require pulling data from policy admin, populating forms, and routing for review. Scale the book, scale the headcount.
With AI: Straight-through processing for routine transactions. Manual review reserved for exceptions and complex changes only.
Regulatory reporting
Today: State filings, market conduct data calls, and regulatory responses require weeks of data assembly. Every state has different requirements.
With AI: Automated data assembly for state-by-state variation. Market conduct monitoring and complaint classification. Full audit trail on every action.
Submission-to-quote for a commercial lines carrier.
Mid-market P&C carrier, 500+ submissions/week, current quote turnaround of 3–5 business days.
1. Intake and extraction
AI does: Extracts data from ACORD applications, loss runs, and supplementals. Structures into rating system fields. Flags missing data back to broker automatically.
Today: Underwriter assistant keys manually. Touch time reduced from minutes of manual keying to seconds.
2. Triage and risk scoring
AI does: Scores against appetite guidelines. Routes by risk class and authority level. Enriches with external data (OFAC, credit, property data).
Underwriter does: Reviews pre-scored, pre-triaged submissions. Focuses on borderline risks. Out-of-appetite submissions declined automatically, freeing underwriter time for viable risks.
3. Quote preparation
AI does: Populates rating models. Generates quote letter with terms, conditions, and pricing from templates. Assembles supporting documentation.
Underwriter does: Reviews pricing, adjusts for judgment factors, approves within authority. Quote turnaround compressed significantly for standard risks.
Controls preserved
Authority levels: AI never binds coverage or sets final pricing. Delegation of authority unchanged.
Audit trail: Every extraction, score, and routing decision logged with confidence level.
Result: Same underwriting standards. Materially more submissions processed per underwriter per day.
Built for insurance-grade controls.
Designed with actuarial documentation requirements, state regulatory variation, and DOI examination readiness in mind.
Actuarial documentation
AI models document their inputs, logic, and outputs. Model risk management teams can review and validate. No black boxes. Designed with the documentation standards your appointed actuary requires in mind.
State regulatory compliance
Built for state-by-state filing variation, rate filing requirements, and market conduct standards. Audit trails meet DOI examination expectations. Unfair claims practices act compliance built into claims workflow design.
See what AI automates in your underwriting and claims workflows.
Tell us about your book — lines of business, submission volume, and the operational bottleneck that limits your capacity. We'll map the specific workflows where AI creates the most throughput improvement.
How it works: 30-minute discovery call (no pitch deck) → we walk through your underwriting or claims workflow and identify the highest-leverage automations → if there is a fit, scoped proposal with timeline and pricing within one week.