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Home > AI for Insurance > Automate Claim Processing

Automate Claims Processing

Traditional claims processing is a highly manual, time & money-consuming, and error-prone process. AI can quickly analyze claims data in different formats (photos, handwritten documents, voice memos, invoices), predict its severity, and recommend best actions. This results in increased productivity and efficiency of the claims lifecycle. 

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ROI Examples
Data Needed

1. Get Inspired

Understand the Use-case under 5 minutes

2. Know More

Get to know more Business and Technical details about the use-case (15-30 minutes)

Deeper Intro

More detailed introduction covering business and technical aspects

Business Focused

Case studies, Organizational Aspects, Return on Investment examples

Tech focused

More details on the technical aspects of the use-case

3. Do

Technical resources that will help you implement the use-case (notebooks, tutorials..)

Data Sets

Data Sets you can use to build Demos, POCs, or test Algorithms

Prudential Life Insurance Assessment

188,318 training examples. Each row in this dataset represents an insurance claim, along with 130 attributes: 116 are categorical, and 14 are numerical features. There is a loss associated with each training example.


Off-the-Shelf Products using AI to Automate Claims Processing

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