Digital Transformation in the Insurance Industry: AI

Digital Transformation in the Insurance Industry AI

Digital transformation is not a business decision, it is a survival strategy. The Insurance industry is slowly recognizing that this vital truth is applicable to them as well. Armed with this knowledge, the insurance industry is undergoing a swift and tremendous digital transformation, driven by the burning need to improve customer experience. As insurers face several strategic and operational challenges, they are recognizing that technology is the only answer and solution.

Artificial Intelligence lies at the heart of these changes and is fundamental to success. AI tries to solve the age-old problems by integrating them with existing infrastructure or by replacing legacy systems.

 

Why does the insurance industry require AI now?


Unlike many other challenges that are usually contained to one geographic location. Small insurance companies are now struggling to survive the onslaught of new requests and most larger firms may need to downsize to make it through these stressful economic times. In this climate of uncertainty, AI will be one of the key factors that will help winners survive. Until recent times, the insurance industry has only used AI in minimal ways. But there are several processes that could be improved drastically using AI.

 

1. Marketing and sales:


AI technologies can be used to price insurance policies more relevantly and competitively. It can be used to recommend the most beneficial products to their customers. Insurers can customize the price of their products based on individual needs and lifestyles so that their customers are happy to pay only for the coverage they need. This heightens the appeal of insurance to a wider audience while attracting some newer customers.

 

2. Risk management:


Neural networks of AI can be used to red flag fraud patterns and minimize fraudulent claims. AI can also be used to improve actuarial models and risks that could lead to working out more profitable products.

 

3. Operations:


Chatbots can be developed to understand and answer the bulk of customer queries over chat, phone calls, and email. This is especially helpful during situations like the pandemic where customers and insurers are unable to meet with each other. This can free up significant resources and time for the insurers that can be used in more profitable activities.

 

What are the benefits of AI in the insurance industry?

 

Efficient process:


Currently, we are witnessing the first wave of tangible opportunities. The automation provided by AI is offering insurers reduced costing along with more efficient processes. The work dividends form the first wave of benefits. Monotonous, low-level, hazardous, and long-drawn-out tasks are taken over by machines freeing humans to do high-level and more productive tasks. It also ensures efficiency without the margin of human error.

 

Accurately measured and priced data:


The role of underwriters is changing as AI is set to re-engineer and amplify insurance underwriting. Powered by the disruptive growth of data, AI has the potential to help underwriters analyze vast amounts of information, locate red flags, and help them make more accurate decisions. While we are not expecting to eliminate human underwriters, working alongside AI systems will ensure that all risks are accurately measured and priced.