Quicker Insights, Better Decisions
AI in Insurance
Many of the tasks in the insurance industry, such as claims processing, underwriting, policy administration and customer service, are still being done manually. According to McKinsey, 25% of the insurance industry will be automated by 2025 thanks to AI and machine learning. Furthermore, AI will enable insurance companies to understand their clients in depth with the explosion of data from connected devices, resulting in new product categories and real-time service delivery. At TurinTech, we help insurers build AI at scale with minimum effort, increasing profitability whilst reducing risks.
USE CASES
Top AI use cases in Insurance
Insurers are embedding machine learning to optimise underwriting, automate claim processes, improve precise pricing, reduce loss ratios and maintain a competitive edge in the ever-growing marketplace.
Claim Management
- Accelerate claim processing with more accurate results
- Detect and prevent fraudulent claims to reduce cost
- Optimise claims reserve to increase monetary value
Underwriting and Pricing
- Precise risk segmentation to reduce loss ratio
- Tailor premiums for more profitable and fairer pricing
- Automate the underwriting process to increase efficiency
Customer Experience
- Provide personalised product bundles for increased revenue
- Automate call routing to reduce/redirect low value calls
- Recommend the best offer for increased customer retention
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OUR PARTNER NETWORK
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We worked with our partners to deliver ever more innovative, effective and successful solutions. Their support has been vital in achieving the new generation of AI.






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