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A Fusion of Insurance & Technology - Changing How Decisions are Made

Q:INSURANCEā„¢ Underwriting Decision Platform for Risk Selection and Automation

Q:INSURANCE integrated real time data-driven decision platform empowers underwriting expertise through automating workflows, a customizable rules engine, and advanced pre-bind analytics. The Underwriting-as-a-Service (UWaaS) capabilities automate repetitive tasks to reduce costs and simplify the underwriting process. In the most powerful production use case possible, the platform has been used as an underwriting foundation for both QOMPLX MGAs.

UW Decision Platform Provides:

Custom Configuration
  • Efficient quote, bind, and issue features to support straight-through processing

  • Built-in team collaboration and an underwriting referral system

  • Highly configurable user platform with custom rule and model automation

Simple Integration
  • Built for integration with back office and policy administration systems

  • Easily integrated into broker / carrier platforms such as Acturis

  • Sanctions and compliance check integration built in

UW Decision Platform provides automation and customization

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End-to-End Policy Servicing

Rate, quote, bind, and issue policies quickly, with the ability to underwrite and price business with accuracy based on custom rates and rules. Interoperable with the Q:OS platform and Q:HELM.

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Underwriting Rule & Model Automation

Implement custom underwriting rules to accept, deny, or refer new quote submissions. This includes a pass-through, review, and approval process based on specific criteria you define, allowing underwriters to focus on high priority unique risks and outliers.

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Portfolio Management

Instantly view and assess a portfolio of risks by region, peril, client, business unit, broker, underwriter, or actuary. Use standard or bespoke actuarial measures to ultimately improve your bottom line.

The advanced analytics and decision automation evolution

It is necessary for insurance companies to find new ways to understand the relationship between exposure, and ultimately, the claims that can result from that exposure. Human-machine teaming and real-time advanced analytics provide the ultimate insight needed to assess that risk.