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Convr for Workers' Compensation

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Convr is a modularized AI underwriting, data, and intelligent document automation workbench that enriches and expedites workers' compensation insurance with the best data, underwriting insights, business classification and risk scoring.​
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With Convr AI, workers' compensation underwriting operations, underwriters, data and actuarial teams experience an enriched and automated workflow.​

The Convr workbench delivers a solution that is priced to step in and scale, provides quick time-to-value, and a flexible user experience. We make it possible for workers' compensation insurance providers to digitally transform their business in just weeks.

We solve for commercial insurance inefficiency, inconsistency and inaccuracy by:

Digitizing and automating submissions with duplication elimination

Improving response times​ and surfacing best sources of information

Enriching submissions and answering granular underwriting questions in real-time

Identifying the correct business class and providing producer of record clarity

Scoring submissions according to guidelines and relative risk qualities

The Convr Underwriting Workbench delivers a full-suite of AI-infused workers' compensation agentic tools that support underwriting analysis and decisions.

  • Real-time fusion of submission data and digital footprint
  • Models surface critical insights to drive smarter underwriting decisions
  • Out-of-the-box features with user friendly AI enhancing workflow with automation
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Convr AI for Workers' Compensation Underwriting

Convr AI surfaces workers compensation information from submissions and enriches them ​ in near real-time,
expediting the underwriting process with speed and confidence​

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Convr Underwriting Workbench

Purpose-built analysis underwriting workbench empowered by machine learning models  |  Submission efficiency analysis and transparency
Risk selection relativity and scoring  |  Business classification and risk characteristics  |  Data lake with integrations and underlying knowledge graph

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