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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Athenium Analytics provides insurance companies with tools to uncover fresh pathways for growth, enhance efficiency, and foster ongoing improvement. Our cutting-edge insurtech software equips carriers with the means to elevate quality, boost performance, and make informed business decisions through the use of predictive analytics and actionable insights. By utilizing AI-driven imagery analytics, predictive modeling, and unique risk scores, clients can effectively pinpoint and mitigate risks. The IRIS platform facilitates swift identification of property features and aids in managing portfolio exposure through AI-enhanced computer vision and geospatial imagery. Additionally, our diverse range of risk management solutions empowers underwriting and claims teams to gain better control over risk factors. Together, these tools create a comprehensive approach to navigating the complexities of the insurance landscape.

Description

Claims Signal™ represents a revolutionary open claims quality solution developed by Aon and Athenium Analytics, designed to help insurers detect high-risk claims at an earlier stage. By improving the experience for policyholders, this platform can lead to a significant enhancement in claims indemnity and expenses, estimated between 4% to 6%. In today's fast-paced insurance environment, claims teams face mounting pressure to elevate customer satisfaction, streamline operations, and minimize financial leakage. While routine quality audits can effectively highlight root causes and deviations from optimal practices, the feedback from these audits may not be accessible for weeks or even months post-claim closure. Imagine having the ability to continuously monitor open claims and resolve quality concerns before they negatively impact results. The Claims Signal platform leverages advanced artificial intelligence to scrutinize open claims, identify potential problems, and send immediate alerts, empowering front-line managers to take action before a claim reaches conclusion. With the integration of predictive analytics and timely alerts, insurers can achieve a reduction in claims leakage of up to 4%, ultimately transforming the claims management process. This proactive approach not only enhances operational efficiency but also fosters a culture of continuous improvement within claims teams.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Athenium Analytics

Country

United States

Website

www.athenium.com

Vendor Details

Company Name

Athenium Analytics

Country

United States

Website

www.athenium.com/products/claims-signal/

Product Features

Insurance Agency Management

Claims Management No 
Commission Management No 
Contact Management No 
Document Management No 
Insurance Rating No 
Life & Health No 
Policy Management No 
Property & Casualty No 
Quote Management No 

Product Features

Insurance Claims Management

CRM No 
Claims tracking No 
Customer portal No 
Document management No 
EDI data exchange integrations No 
Electronic claims No 
Fraud management No 
Reporting No 

Alternatives

Alternatives

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