RiskVert connects directly to your policy administration system, runs ISO rating algorithms against your historical loss data, and surfaces submission-level risk scores before your underwriters open a file.
Commercial P&C carriers still rely on manual underwriter judgment for 60–70% of new submissions. The result: inconsistent pricing, adverse selection, and loss ratios that drift quarter-over-quarter without a clear cause.
Each inbound submission receives a composite risk score derived from ACORD data fields, prior loss runs, third-party hazard data, and your own book performance. Underwriters see the score before they open the file.
RiskVert ingests ISO circular updates and maps them to your rating engine, flagging submissions where your current manual rates diverge from actuarially supported loss costs by more than 15%.
Incoming FNOL data is parsed, categorized by claim severity tier, and routed to the appropriate adjuster queue. Complex bodily injury claims are separated from straight-line property losses automatically.
Monthly projections using credibility-weighted experience, trended to current accident year. Separate views by line of business — CGL, commercial auto, workers comp — with configurable confidence intervals.
Identifies submission patterns characteristic of adverse selection: applications clustered in high-CAT zones, high-hazard occupancy codes submitted in bulk, or accounts with suppressed prior loss history.
Native connectors for Applied Epic, Duck Creek, and Guidewire. RESTful API for custom policy administration systems. Data stays within your infrastructure — RiskVert does not store policyholder data at rest.
ACORD 125/126 forms, prior loss runs, and third-party hazard data arrive via API or SFTP from your submission pipeline.
The risk model assigns a composite underwriting score and a severity-weighted claims probability, segmented by coverage line.
High-risk submissions escalate to senior underwriters. Standard risks proceed through the automated bindable quote workflow.
Book-level dashboards update in real time. Actuarial teams track loss development by cohort, quarter, and territory.
Replace spreadsheet-based underwriter scorecards with a model trained on your actual book data. Consistent decisions across all underwriters, not just your most senior.
Demonstrate underwriting discipline to your carrier partners. Risk scores and triage records give fronting carriers visibility into your selection criteria.
Claims triage automation reduces the cost of managing legacy books. Route older claims to the right specialists without maintaining a full actuarial team.
We run a 30-day pilot on your historical submission data. No production integration required for the evaluation period.