Insurance Fraud Probe Goes Digital After Covid

Insurance Fraud Probe Goes Digital After Covid: A new report based on a survey of industry professionals shows that the Covid-19 pandemic has led to a widespread digitalisation of fraud investigations in India’s insurance sector. According to the report, titled ‘Impact of Covid-19 Pandemic on Insurance Fraud Risk Mitigation and Investigation’, 68 per cent of the respondents said they were already using digital tools for investigations, while 19 per cent said they were planning to do so. The survey involved almost 60 industry leaders from different risk mitigation roles, such as claims investigation, seeding, pre-issuance profile check, pay and recover, health reimbursement and underwriting.

According to Mr. Deepak Godbole, Secretary General of Insurance Institute of India, “Insurance frauds in the form of false or exaggerated claims harm not only the insurers but also their clients or policyholders, who end up paying higher premiums as a consequence. As this survey shows, the increasing use of technologies like artificial intelligence and data analytics are facilitating better and quicker insurance investigations, which is good news for the entire industry.”

Insurance Fraud Probe Goes Digital After Covid

According to the survey, the industry will keep using digital methods for fraud investigations even after the pandemic, as 92 per cent of the respondents agreed. Among them, 71 per cent said they would focus more on a digital approach.The survey found that insurance frauds rose during the pandemic, as 27 per cent of the respondents reported. Covid-19 also led to more insurance fraud investigations, with 55 per cent of respondents saying that their work related to fraud prevention increased in general or in a specific area. However, almost half of the respondents faced a budget cut (32 per cent) or no budget at all (16 per cent) for investigations.

The survey showed how the pandemic changed the preferred training mode for insurance professionals, with 54 per cent respondents saying they now liked virtual classroom-based training or e-learning more. Only 24 per cent respondents said they liked classroom training more.Insurance frauds usually happen when people apply or claim, and they make insurance companies lose a huge ₹45,000 crore every year. Almost 70 per cent of these frauds are done by faking documents. According to industry estimates, insurers lose about 10 per cent of their total premium collection to frauds.

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After Covid Insurance Fraud Probe Digital

Insurance Fraud Probe Goes Digital After Covid Overview

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A new landscape: COVID-19

A lot of insurance companies are dealing with many claims for business disruptions and also for car crashes that cause injuries and thefts of personal belongings. The Covid-19 pandemic has had a significant impact on many aspects of our lives, including insurance fraud investigations. With social distancing measures in place and remote work becoming the new norm, insurance fraud investigators have had to adapt their methods and go digital. This shift to digital investigations has allowed investigators to uncover fraudulent activities more efficiently and effectively.

Through the use of advanced data analytics, artificial intelligence, and machine learning algorithms, investigators are able to analyze large volumes of data and detect patterns that indicate potential fraudulent behavior. This not only saves time and resources but also helps identify fraudulent claims more accurately. As technology continues to evolve, it is expected that digital investigations will play an even greater role in combating insurance fraud in the future.

Car insurance companies are facing more “jump in” and fake accidents.

During the peak of the pandemic, police officers were not going to many car accidents unless someone was hurt. This let people who were not involved say they had physical damage after the accident by saying they were in the car that was hit. Often, because there was no official report, there was not enough photo evidence to show if the claim was true or false.

Property claims have the same problems. In a recent online event, Matthew Smith, who leads The Coalition Against Insurance Fraud, said: “More claims for damage to separate properties like sheds, garages and barns let people break non-important property and get money fast to pay for things.” These claims are hard to check and take pictures of because people are not supposed to visit in person because of the virus.

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The power of End-to-End Automation

To combat fraud, various organizations have collaborated to share anti-fraud data and raise awareness among stakeholders. Using field service management software (FSM) has been an effective strategy for some companies to reduce fraud. FSM can automate claim processing for warranty, property and casualty and other insurance types by using smart auditing systems. These systems apply company-specific rules and logic to filter out invalid claims and only pay the valid ones.

FSM is an InsurTech tool that helps insurers gather relevant claim data on one dashboard, with reporting and analytics features to track business performance and KPIs related to fraud prevention and detection. FSM software can also help adjusters get the information they need for claims evaluation in a virtual world by enabling claimants to upload damage photos to customer portals. When face-to-face investigations are feasible, property and casualty insurance providers can speed up the process from FNOL by assigning adjudicators to visit the site. Operators can even arrange assessors to go to a customer’s home when it is empty to reduce safety risk.

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Stay secure

To deal with the rise in insurance fraud due to the pandemic, insurers need to be alert and careful with claims handling. They can make this easier by using FSM software that verifies claims against customized business rules and rejects invalid claims before payment. A fully integrated, configurable claim management system can help optimize company reserves and ensure the quality of claims processing. Those who use a unified, end-to-end FSM platform can better fight fraud, lower claims process friction, save costs, and enhance customer satisfaction.

Moreover, insurance companies must regularly communicate their updated anti-fraud measures across their channels to show consumers and fraudsters that they have ways to handle dishonesty and to deter unlawful actions during this difficult time. Knowing the new fraud trends and methods to counter them gives insurers an advantage in this changing landscape and will protect both the provider and the insured.


In the wake of the Covid-19 pandemic, insurance fraud investigations have taken a digital turn. With more people filing claims online and insurers grappling with an influx of cases, technology has become an invaluable tool in detecting and preventing fraudulent activities. Advanced algorithms and artificial intelligence systems are being utilized to analyze massive amounts of data, flag suspicious patterns, and identify potential fraudulent claims.

This digital shift has not only expedited the investigation process but also improved accuracy in detecting fraudulent activities, ultimately saving insurance companies millions of dollars. As the world continues to adapt to the challenges posed by the pandemic, it is evident that technology will play a crucial role in combating insurance fraud and safeguarding the industry’s integrity.

Insurance Fraud Probe Goes Digital After Covid FAQ’S

What technology is used to detect insurance fraud?

Telematics devices have the capability to observe and assess vehicle information in order to validate the authenticity of insurance claims. Specialized software for identifying fraudulent activity can identify inconsistencies in claims data and highlight claims that may potentially be fraudulent. The process of handling claims can be expedited through the use of automated systems that verify the accuracy of claims data, eligibility, and coverage.

What is the role of technology in insurance fraud detection?

In the case of insurance fraud, machine learning (ML) models helps in identifying what a normal claim looks like to establish a baseline. Once that baseline is defined, they can identify abnormalities and notify insurers.

What happens if you try to commit insurance fraud?

Insurance fraud is a serious offense that carries various penalties, including probation, fines, community service, restitution, and possible imprisonment in county jail or state prison. According to the law, individuals can be prosecuted for insurance fraud if they have the specific intent to deceive and defraud.

What is the most effective technique to detect fraud?

Businesses and organizations rely on specialized data analytics techniques such as data mining, data matching, sounds like function, Regression analysis, Clustering analysis, and Gap to effectively test, detect, validate, correct error, and monitor control systems against fraudulent activities.

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