How the Insurance Industry Is Leveraging AI
Insurance is one of the most critical industries there is; it is what saves people and organizations from falling into financial trouble after a crisis or an unforeseen event. However, it is often deemed as the least innovative industry with outdated processes, time-taking procedures and delays, legacy IT systems, and many dissatisfied and even disgruntled customers.
With the change in demographics and a rapidly growing population of millennials who are tech-savvy and like to perform their banking and finance-related transactions online, it has also become indispensable for every organization in the banking and finance sector to cater to their needs.
Evidence has it that millennials are more likely to purchase insurance online if the time and hassle costs are lower, unlike the middle-aged and older demographic that prefers purchasing insurance after meeting and discussing options with an insurer. So, the insurance industry is slowly and steadily working its way out of this reputation of being technologically outdated and of providing inconsistent and friction-filled customer experiences.
How? Through a digital transformation lead by Artificial Intelligence (AI) and Machine Learning (ML). To effectively understand how technology and AI have disrupted and revolutionized the insurance industry, we must first look at how the insurance industry is leveraging AI.
Risk evaluation: The core of the insurance industry is risk, and its effective evaluation/assessment. Using AI and ML, insurers can leverage the data deluge to assess risks with higher accuracy, understand new correlations and patterns, get more in-depth insights, make better predictions, and accordingly, customize their plans and adjust their premiums. For instance, through AI and ML, if the firm finds that a particular group of policyholders are at a higher risk of actually facing a fire accident, then the firm can adjust the premium accordingly.
Underwriting: For reinsurers and underwriters to effectively, and seamlessly perform their tasks, AI efficiently gathers data from different internal and external sources and provides deep and intelligent insights. By taking control of the data deluge and leveraging it, such insurance executives can move from the detect-and-repair mindset to a predict-and-prevent philosophy, reduce guesswork in insurance, make accurate, data-driven decisions and develop a competitive edge for the organization.
24×7 assistance to insurance shoppers: AI in the form of conversational bots is capable of handling much larger volumes of insurance shoppers. They effectively and efficiently handle large volumes of queries, provide automated advisory and personalized recommendations to clients through multi-turn, natural, and goal-oriented conversations. Conversational bots, thereby, enable organizations to automate the query management process to a great extent. So, the human agents can be free from the drudgery and sheer monotony of handling regular inquiries and step in when required to customize, convince, and convert shoppers. Such automated advisory saves the time to give a quotation to the client, enabling them to make quick, data-driven insurance shopping decisions.
