Built for underwriting teams that are tired of using a dozen different systems. Everything lives in one place: intake, medical review, pricing, broker communication, decisions, and audit history. Works for both individual and group health insurance.
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Health insurers across the board – whether you're processing hundreds of employer census files or reviewing individual applications with complex medical histories. Also relevant for MGAs with delegated underwriting authority, where teams need to make consistent decisions within carrier‑defined rules.
And anyone who wants their team to spend time on hard cases, not moving data between spreadsheets.
The underwriter opens the system and immediately sees what's in progress, what needs attention, and where there are risks or exceptions worth flagging.
Applications don't fall through the cracks between systems. From first review to close — everything stays in one place.
The system reads and classifies data from applications, census files, medical records, and disclosures on its own. No manual entry.
Structured assessment of questionnaires, chronic conditions, medications, lab results, clinical records, and high‑cost claimants.
Individual and bulk verification, waiting periods, exclusions, and pre‑existing condition determinations — all based on plan and state rules.
Use AI to estimate health risk, expected monthly costs, and likely use of hospital, emergency, and prescription services for individuals and groups, with clear reasons behind the results.
Experience rating, loads and credits, plan comparisons, counteroffers, and rate sheet generation.
Configurable routing for every stage: intake, medical review, pricing, compliance, and final decision.
Census data, employee participation, employer contribution rules, high‑cost case review, renewals, and quote preparation.
The system suggests approvals, pends, declines, or exclusions — with a clear explanation of its reasoning. The underwriter makes the final call.
Standard low‑risk applications move through without touching anyone's desk. Complex ones get flagged for manual review.
Messages, document requests, proposal sharing, and application status updates — all within the platform.
Every decision has a complete history: who acted, when, why they deviated from standard, and which model version was running.
Processing speed, workload, automation rates, and bottlenecks.
Connects to policy administration, claims, pricing, provider, and clinical data systems.
Data comes automatically; clean applications don't touch the team, and manual chasing drops significantly.
A complete chain from application to decision — no gaps, no reconstruction after the fact.
Decisions are grounded in clinical data and cost projections — not a gut feel or an incomplete picture.
Underwriters, medical reviewers, pricing analysts, brokers, and ops all work inside the same process instead of running parallel in separate tools.
Every adjustment is visible: who made it, what it was based on, and whether it fell within their authority.
An employer submits a 200‑person census for annual renewal. The platform pulls and validates the data, checks participation thresholds, flags high‑cost claimants, and builds a risk‑adjusted pricing proposal — before the underwriter opens the file. The team reviews the exceptions, adjusts one counteroffer, and closes the case the same day.
During open enrollment, the platform scores each incoming application and automatically issues policies that meet straight‑through processing criteria. The team only sees exceptions. Processing time drops by more than 60%.
An applicant discloses Type 2 diabetes and hypertension. The underwriter gets a structured clinical summary, risk scores, projected medication and hospital costs, and a recommendation with reasoning attached. They approve with a waiting period exclusion in minutes – full audit trail included.
Built specifically for health insurance underwriting – not repurposed from another line of business. Supports both individual and group products. Brings clinical, eligibility, pricing, and claims data into one shared context. The system recommends; the underwriter decides. Every decision is explainable and reproducible when it matters.