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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Integrate fraud and compliance risk into a holistic solution that provides ultimate control in omnichannel environments. Protect your organization against fraud and mitigate risks. Effective is a modular, centralized hub for risk management that will get you compliant from the start and fraud-free. It uses AI & ML algorithms that adapt to changing organizational needs. One interface that integrates all the risk tools currently used. Use a unified API for fraud reduction, compliance, and operational efficiency. With a combination of internal intelligence, best-in-class services, and human intuition, you can gain critical insights and streamline the efficiency of your team. No engineering skills are required to customize fraud workflows and case management. A customizable dashboard allows you to visualize threats and monitor bad actors. Investigate suspicious activities quickly, gain insight into fraud ring behavior, and identify emerging threats.

Description

Shift Technology delivers a purpose-built AI solution for claims fraud detection and resolution, empowering insurers to protect revenue and increase efficiency. Unlike traditional systems, it leverages advanced AI models trained on insurance data to detect fraud patterns with speed and accuracy. Its integration with the Insurance Data Network enables carriers to see connections across organizations, making it possible to identify industry-scale schemes. Shift not only detects suspicious activity but also prioritizes cases based on business impact, giving SIU and claims teams the right focus. Insurers benefit from faster investigation cycles, reduced false positives, and optimized fraud management processes. Global leaders such as AXA and Assurant use Shift to prevent millions in losses and resolve cases that would normally take days within minutes. Customer success stories highlight reduced operational overhead, improved investigation accuracy, and higher fraud detection rates. With AI at its core, Shift Technology equips insurers with the tools to stay ahead of increasingly sophisticated fraudsters.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Emailage
Google Duo
Microsoft Teams
Middesk
SentiLink
Slack
Socure
ThreatMetrix
TransUnion Collections Management
Vouched

Integrations

Emailage
Google Duo
Microsoft Teams
Middesk
SentiLink
Slack
Socure
ThreatMetrix
TransUnion Collections Management
Vouched

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Effectiv

Country

United States

Website

effectiv.ai/

Vendor Details

Company Name

Shift Technology

Founded

2014

Country

France

Website

www.shift-technology.com/products/claims-fraud

Product Features

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Product Features

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Alternatives

Alternatives

NetMap Reviews

NetMap

Verisk Analytics
Insurance Data Network Reviews

Insurance Data Network

Shift Technology
Shift Claims Reviews

Shift Claims

Shift Technology