Insurance - Semantic Rating Engine for MGAs



    An Insurance Indusry First. 100% Ontology-driven Semantic Rating Engine

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      Challenges
    • Acquiring Data from Brokers / Insured: (questions, responses)
    • Manual Data Re-Entry: Online Data
    • Manual Data Re-Entry: Between Excel, TAM, Outlook
    • Rating via Citrix to Carrier
    • Sync data Between Different Environments
    • No Integration Between Systems: agency mgmt, carrier rating systems
      Opportunity
    • ACORD standards limit vendor ability to provide modern solutions
    • Map ACORD XML to Semantic RDF
    • Goal: Interoperability that syncs with legacy platforms
    • Reuse: Widgets, Data, Rules, Workflows, Questions, Broker Info, Insured Info
      How it Works
    • We describe objects using an ontology, like buttons, pull-down menus and "animate" using the OntoApp platform which "Plays Back" the desired App Functionality using the world's most powerful advanced inference engine.
    • Faceted Browsers
    • Screen Elements: buttons, pull-down menus
    • Navigation: Menus, Tabs, Breadcrumbs
    • Multiple Workspaces for Improved Usability
    • Web Services: PDF Generation
      Benefits
    • Dynamic Reconfiguration of anything: Web services, apps, rules, workflows
    • Real Functioning design in a repository, separate from source code
    • Uses SPARQL to replace multiple web services
    • Saves time in development & Maintenance for the you, value chain who uses it
    • Simpler Design, less components to break
    • We avoid creating more legacy code.
    • Using a single Ontology, create a specification that will be automatically up to date with each new release of the platform.
      OntoApp is "Interconnectivity Aware"
    • No need to use middleware for the "orchestration"
    • Alternatives load on more and more complexity, we limit complexity
    • Alternatives add middleware to compensate for what's missing in the application

    Context Diagram

    Context Diagram