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What is DRILLER?

DRILLER is a cutting-edge analytics platform aimed at transforming the digitization and comprehensive analysis of insurance portfolios by effectively managing both structured and unstructured data. This solution significantly improves the understanding of the portfolio's resilience and the nature of claims. By utilizing its advanced features, it accelerates reserve releases, leading to reduced requirements for solvency capital and minimized capital costs. The innovative tool leverages artificial intelligence to perform in-depth evaluations of portfolios and claims, while also predicting potential adverse developments in claims through a sophisticated severity scoring mechanism. Furthermore, it enables the prompt identification of claims that may be either under-reserved or over-reserved. Users gain access to fully searchable documentation and claims, coupled with valuable insights into the structure of the portfolio. The tool excels in recognizing various elements such as characters, numbers, and sentiment while efficiently categorizing documents and identifying specific characteristics of claims. It also simplifies the process of reviewing and prioritizing critical claims that require urgent attention, all supported by automated analysis across the entire portfolio, thereby enhancing both operational efficiency and informed decision-making. In addition, the platform continually evolves to incorporate user feedback, ensuring it remains relevant and effective in meeting the dynamic needs of the insurance industry.

What is ALFRED Claims Automation?

Filing claims is often a complex yet vital task that many people, more than 60%, choose to avoid due to its convoluted nature and the significant time it demands. Artivatic has developed a tailored claims platform that addresses the needs of various insurance sectors, allowing companies to provide a seamless digital claims experience, facilitate self-processing, automate assessments, and improve the detection of risks and fraud while also managing claims payments. This innovative platform is designed to meet all your claims-related needs, delivering a fully automated and thorough evaluation process. Whether you're dealing with auto, health, travel, accidental, death, fire, SME, business, or commercial claims, this solution ensures comprehensive coverage. By simplifying the claims mechanism, Artivatic seeks to boost operational efficiency and enhance overall customer satisfaction, paving the way for a more user-friendly experience in the insurance landscape. With such advancements, the future of claims processing looks significantly brighter.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Apache Cassandra
Google Cloud Platform
IBM Cloud
Microsoft 365
Microsoft Azure
Microsoft Dynamics 365
Oracle Cloud Infrastructure
Oracle Database
PostgreSQL

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$10/claims/month
One time installation and customization

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

DGTAL

Company Location

Germany

Company Website

dgtal.io/products/

Company Facts

Organization Name

Artivatic.ai

Date Founded

2017

Company Location

India

Company Website

alfred.artivatic.ai/

Categories and Features

AI Insurance

Not specified

Insurance

Not specified

Categories and Features

AI Insurance

Not specified

Claims Processing

Not specified

Health Insurance

Not specified

Insurance Claims Management

CRM
Claims tracking
Customer portal
Document management
EDI data exchange integrations
Electronic claims
Fraud management
Reporting

Insurance Policy

Not specified

Life Insurance

Not specified

P&C Insurance

Not specified

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