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Artificial Intelligence in Insurance Claim Processing and Analytics

Insurance_02 illustration

AI-powered Insurance Claim Processing and Fraud Analytics

Revolutionizing the Insurance industry with Solution offerings for enabling Automated, Optimized Claims, effective customer engagement Strategy and Fraud Detection offerings.

  • Insurance_06 Icon Customer Engagement and Social Media Platforms

    Customer Engagement and Social Media Platforms

  • Insurance_07 Icon Rent Protection and Smart Homes

    Rent Protection and Smart Homes

  • Insurance_08 Icon Threat Intelligence and Automation

    Threat Intelligence and Automation

  • Insurance_09 Icon Real-Time Estimation, Fraud Reduction and Improved Security

    Real-Time Estimation, Fraud Reduction and Improved Security

  • Insurance_10 Icon Remote Claim Settlement and High Quality Evidence

    Remote Claim Settlement and High Quality Evidence

  • Insurance_11 Icon Customer Satisfaction & Robo-Advisors for Financial Products

    Customer Satisfaction & Robo-Advisors for Financial Products

Artificial Intelligence for Insurance Service Offerings

Streamlining Insurance Claims and Risk Quantification with AI.

Consumer Behaviour and Marketing

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Digital Solutions for enabling clients to acquire new customers, identifying customers, designing Segment-Based Retention strategies with Acquisition and Churn Analytics.

Risk and Compliance Analytics

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Risk and Compliance Analytics to proactively identify issues, take corrective action, and self-report to regulators regularly.

Fraud Analytics

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Using AI, Insurers improve Fraud Detection and criminal activity through Data Management and Predictive Modeling. Match the variables in every claim against the profiles of past claims, which are fraudulent for further investigation.

Applications of Artificial Intelligence in Insurance

Real-Time Claim Processing and Decision Management Solutions for Enterprises.

Insurance_20 M Icon Big Data Management and Data Governance

Big Data Management and Data Governance

It provides a strategic approach to Data Governance as Collecting, Safeguarding, and analyzing Big Data. The most prominent governance goal is to provide reliable and accurate data for risk aggregation and reporting, including data accountability and traceability. Enables more intelligent decision-making by spotting trends, patterns, and hidden insights by visually exploring data sets of any size. Uncover unexpected insights, find answers to complex problems, and quickly identify new and better courses of action by visually analyzing your data.

Insurance_21 M Icon Real-Time Claim Processing and Estimations

Real-Time Claim Processing and Estimations

Real-Time Data Analytics provides fast updates and course corrections for the most effective route forward. It monitors risk and customer behavior and takes actionable steps in Real-Time or near Real-Time, leading to improved underwriting and pricing of current products.

Insurance_22 M Icon Operational Management

Operational Management

It enables Supply Chain Analytics, Claims Analytics, Call Center Analytics, Workforce Analytics, IT Operations Analytics, Spend & Usage, and Behaviour Analytics to gain deep insight into the actions to improve operational efficiency. It reduces costs and optimizes business and financial performance, payments processing, branch, channel performance, and sales management, enabling insurance companies to plan more strategically and effectively for the future.

Insurance_23 M Icon Pattern Recognition

Pattern Recognition

It identifies patterns in the user data, business opportunities, and fraud risks. It reduces data security breaches, payment, and transaction fraud. It includes fingerprint identification, interprets DNA sequences, Seismic Analysis, Image Processing, Segmentation and Analysis, Computer Vision.

Insurance_24 M Icon Decision Management

Decision Management

Recommendations based on identified patterns, Asset Management, Liability Management, Automated Decision Modeling, specific analytics decisions, Decision Profiling.

Insurance_25 M Icon Personalisation and Behavioural Pricing

Personalisation and Behavioural Pricing

Receives Real-Time and current information needed and used, Telematics and Sensors for collecting customer information, personalized attention to customers, monitors customer's goals and behavior through Robo-advisors and understands their emotions.

Explore Related Insights

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Observability

XenonStack is now Kubernetes Certified Service Provider

We are proud to announce that XenonStack is now a Kubernetes Certified Service Provider, Run by the Cloud Native Computing Foundation in collaboration with the Linux Foundation. We are also Silver Partner of the Linux Foundation and Cloud Native Computing Foundation. The CNCF encourages the development of cloud-based open-source applications by rendering technologies available to the open-source community and by promoting ecosystem development Kubernetes Certified Service Provider is a testimony to XenonStack’s dedication to contributing to Kubernetes’ growth. 

21 April 2020

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