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What is Shift Subrogation?

Shift Subrogation is an innovative software-as-a-service (SaaS) platform powered by artificial intelligence that independently identifies, assesses, and highlights potential subrogation recovery opportunities for insurance companies, particularly within the Property & Casualty (P&C) industry. By merging structured data such as policy details and claims with unstructured text, including loss descriptions and comments from adjusters, the system utilizes generative AI along with a range of analytical models to determine liability, apply relevant state laws and negligence principles, and examine exposures while factoring in statute limitations and jurisdictional regulations, as well as referencing external sources like product recalls. It generates alerts that come with scores and detailed explanations for each recovery opportunity, enabling claims handlers to grasp not only which cases are worth pursuing but also the rationale behind each suggestion. The platform also features continuous monitoring of claims, adapting alerts as new information emerges or as assessments of recoverability evolve over time. This ongoing vigilance helps insurance firms stay informed and take proactive steps in their recovery strategies, ultimately enhancing their operational efficiency in managing subrogation claims. Consequently, the integration of advanced technology ensures that these companies are equipped with the insights needed to maximize their recovery potential effectively.

What is Mobotory?

Our advanced data prediction system is driven by a cutting-edge artificial intelligence framework that leverages proprietary algorithms and machine learning methodologies to identify and forecast potential risks linked to significant financial losses, extensive legal disputes, and various other economic challenges. By integrating machine learning with statistical analysis, we scrutinize client data and enhance it with external information, allowing our AI to perform precise risk assessments. Our extensive range of products can operate autonomously or integrate effortlessly into established business intelligence platforms such as Board, Tableau, or Microsoft BI. Whether addressing worker’s compensation claims or navigating general liability challenges, our solutions can be tailored to work alongside your insurance provider, third-party administrator, or your in-house systems if you are self-insured. By employing our services, organizations can effectively lower their risk through detailed and comprehensive defense documentation, reduced settlement costs, quicker resolutions, and proactive strategies aimed at minimizing risk exposure. Additionally, we provide predictive tools for estimating costs related to general liability or worker’s compensation claims, which promote faster settlements and offer more accurate premium assessments, ultimately boosting your operational efficiency in managing risks. Our dedication is to provide innovative solutions that not only fulfill but surpass your expectations in risk management, ensuring that you are well-prepared for any challenges that may arise. In doing so, we aim to empower your business to thrive in an ever-evolving financial landscape.

Media

Media

Integrations Supported

Integrations Supported

Board
Microsoft Power BI
Tableau

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

On-Site Training

Company Facts

Organization Name

Shift Technology

Date Founded

2013

Company Location

France

Company Website

www.shift-technology.com/products/subrogation

Company Facts

Organization Name

Mobotory

Company Location

United States

Company Website

mobotory.com

Categories and Features

AI Insurance

Not specified

Insurance

Not specified

Categories and Features

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