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Insurance AI

Insurance companies today are embracing AI and using more data science to improve processes. SFL Scientific is helping to develop solutions that improve profitability, resource efficiency, and delivering an enhanced customer experience.
Insurance
Featured
Case Study 7 MIN
Text Extraction and Document Classification

Overview

SFL Scientific delivers significant improvement in our client’s advantage and profitability by developing new AI tools, products, and services, to reach their target customer, deliver higher quality services cheaper, and optimizing review, communication, and back-office operations.

Our Custom Strategy

Natural Language Processing

Statistical models, data mining, database management

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Predictive Analysis/Time-Series

It's critical to develop a plan to integrate the model, not just make a predictive score

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Data Engineering

Designing data architecture and best practices for secure, efficient, and cost-effective data and IT systems.

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We Work with Top Insurance Companies

Use Cases

AI Use Cases for Insurance

SFL Scientific is popular with Insurance institutions because it can increase claims efficiency and accuracy while speeding up operations to give them a competitive advantage over competitors.

Eliminating Manual Contract Review

Developed a solution to algorithmically extract key terms from contracts, financial, and legal documents for LinkSquare’s SmartValue contract analysis platform.

Natural Language Processing

Handwriting Transcription

OCR & Natural Language Processing (NLP) pipeline to extract information from handwritten medical records to obtain more accurate clinical & drug information.

Natural Language Processing

Call Center Optimization & Decision Support

Developed a keyword & topic modeling extraction pipeline to extract key trends of topic occurrence for case manager-patient phone calls.

Natural Language Processing

Route & Risk Analysis for Property & Casualty

Develop a solution to incorporate street and roadways correlated to property locations in high-risk areas for natural disasters, such as floods, hurricanes, wildfires, and other high-risk property and life-threatening events.

Computer Vision

Revenue Cycle Management Platform

Completely automate and modernize a revenue cycle management platform to facilitate provider-payer billing audits and provide customer population reports directly from claims and procedure data.

Natural Language Processing

Satellite Image Analysis for Underwriting

Full automation of the classification and segmentation of desirable features in satellite image data (big images), e.g., roof condition, footprint, material type, vegetative overhang percentage, solar panels, etc. for 80% of US homes.

Computer Vision

Use Cases

Insurance Use Cases Ripe for AI Innovation

Insurance companies that are making extensive use of AI are realizing the benefits of automated risk management, decreased fraud, and increased customer retention and loyalty, which adds to their bottom line.

Claims Insights

  • Digital Claim Handling/Triage
  • Image Analysis & Estimation
  • Lifestyle & Behavioral Analysis
  • Multi-Line Profitability Analysis
  • AI for Real-World Evidence
  • Intelligent Loss Control

Platform Engineering

  • Exception Handling
  • Graph/DB Analysis
  • Reinsurance Optimization
  • Customer Risk Profile Mapping
  • Satellite & IoT Data Integration
  • Temporal & Fleet Analytics

Customer Insights / Communication

  • Reinsurance Optimization
  • Customer Risk Profile Mapping
  • Satellite & IoT Data Integration
  • Sales Decision Support
  • Compliance & QA
  • AI for Call Center

People Powered from Data Management to Custom Solutions and Deployment

Insurers know it’s not a question of whether or not to deploy AI solutions, but a matter of when and where to start.

Our US-based team of data scientists, consultants, and engineers can guide you through the process of driving real business value with AI. We will work to understand your AI business cases, identifying unique areas of innovation that require further research with proof of concept through building models and deploying sustainable, performant AI business applications at scale.

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We’d like to work with you to understand your unique AI challenge from modernizing legacy platforms to developing new AI solutions. Technology moves fast, let’s build sustainable solutions.

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