Insurtech Business and Technology predictions for 2021

Online Claims Submission

Users’ can submit claims online, but there is a potential for Claim Fraud; which can use AI to assess the fraudulent claims to assess the Claim Score and trigger to the Claim Assessor to follow up if the claim score limit is exceeded.

Use of multi-lingual ChatBots & Robo Advisor to advise consumers on their Financial Needs

Chatbots have become very popular, offering 24x7 multi-lingual access to prospects and customers, who may want to chat in the evenings when they have finished their work. In many cases, the Call Centres close around 5-6 pm, so are unavailable in the evenings. Chatbot services include enhancing customer support, promoting cross-selling, reviewing an account, reporting lost cards, making payments, renewing a policy, handling a refund and fraud detection.

Robo Advisors are more intelligent and support more solutions, for example providing financial advice based on a person’s lifestyle goals.

Application of Artificial Intelligence (AI) & Machine Learning (ML) for

Predicting New Customer Products to Buy

Predicting Product Recommendations for Banks, Insurance, Takaful & Investment requires analysis of existing customers using predictive analytics models to identify the next product they are likely to buy. This also includes tracking of historical loans repayment, investment, fraudulent claims etc.

Customer Churn is critical to predict when a person will lapse the policy

Losing customers is a long-standing issue; one of the key issues why they switch are “Unhappy Customers”. This happens in Banking, Insurance, Takaful & Investment sectors; when a customer calls with a complaint, call centres need to be response to address the person’s complaint. Once the complaint is addressed, you need to get customer feedback and track this.

Using AI for Insurance & Takaful Underwriting

Insurance & Takaful Underwriting is critical; with the potential for inaccurate proposal data, leading to acceptance of proposals. AI based Underwriting using Predictive Analytics includes statistical data and past history of customers and is used to analyse the risk involved.

Predictive AI for Fraudulent Claims

This can be applied assess the potential for fraudulent claims; taking into account identification of fraudulent healthcare indicators.

Artificial intelligence has the potential to move from a detect-and-repair mindset to a predict-and-prevent philosophy.

Robotic Process Automation (RPA) is key to automating processes to automate activities

Robotic Process Automation is having a big impact on FinTech & InsurTech, by automating processes and lowering cost of engagement and support. Robotic Process Automation helps banks and insurers engage customers in real time, increasing efficiency and productivity, and enabling straight-through processing.

RPA robots utilize APIs to trigger processes, capture data and apply applications just like humans do. They trigger responses that communicate with other systems in order to perform a variety of repetitive tasks.