AI for Insurance Industry

Reduce Costs, Boost Sales & Enhance Customer Satisfaction​

How can UnitX Help

Marketing & Sales

• Machine-learning insights to support customer segmentation
• Automated product recommendations & natural language question answering
• Automated creation of targeted marketing materials & promotions
• Customer personality & tone analysis

Underwriting

• Personality analysis from text to match customers with brokers
• Extraction of insights from multiple data sources (including unstructured)
• Automated demand analysis & generation of new product offerings
• Natural language question answering for employees
• Enhanced pricing & policy rating personalization & accuracy

Administration

• RPA for efficiency & better customer experienced
• Sentiment analysis in social media
• Augmentation of investment decisions with machine learning insights
• Provision of new insights for asset liability management
• Processing of unstructured data, augmentation of analytics capability

Claims

• Real-time Q&A service for FNOL
• Pre-assessment of claims & automated damage evaluation
• RPA to automate claims processing
• Automated claims fraud detection using enriched unstructured data analytics
• Prediction of claim volume patterns

Servicing

• Augmentation of loss analysis with machine learning insights
• Automation of call center & webchat service
• Assistance for self-service queries on policy issuance, endorsements, cancellations & renewals

Recruitment

• Contextual analytics & skill ontology to score CVs against job descriptions
• Prediction of likelihood candidate will get through selection process
• Prediction of candidates based on hireability metrics

Case Studies

Fraud Detection

Insurance company in Turkey saves $5 million USD using Fraud Detection Software

Cyber Threats

Largest financial services company in South Africa uses ML to detect and prevent cyber threats in real-time

Data Entry

Japan-based financial services company eliminates 90% of manual data entry process

Claims

Application of ML in faster and more accurate claims processing

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