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Hyperautomation in insurance: the future of data-driven decision-making

Hyperautomation in insurance: the future of data-driven decision-making | EasySend blog
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5 minutes

The insurance industry has long been an early adopter of new technologies, and hyperautomation is no exception. Hyperautomation in insurance refers to the use of advanced technologies – such as artificial intelligence (AI), robotic process automation (RPA), and machine learning – to automate tasks and processes that are typically performed by humans.

Automation vs. Hyperatomation

Automation has been a part of the insurance industry for many years now. Automation is using technology to perform a task or process that would otherwise be performed by a human. This can be as simple as using a software program to send automated emails or as complex as using artificial intelligence (AI) to make decisions. For example, an automated underwriting system can be used to assess an applicant’s risk and calculate premiums without needing a human underwriter.

Hyperautomation takes automation one step further by integrating multiple technologies to automate processes from start to finish. This could include using AI to collect customer data, robotic process automation (RPA) to handle customer queries, and machine learning to identify fraud.

Hyperautomation in insurance can be used to make decisions about risk, fraud, and policyholder behavior. For example, hyperautomation can be used to detect fraudulent claims or identify policyholders who are at risk of lapse or churn.

In short, hyperautomation combines multiple technologies to automate business processes end-to-end and to make decisions that would traditionally be made by humans. It has the potential to transform the insurance sector by making it more agile, customer-centric, and operationally efficient.

Let's take a look at how hyperautomation can be used in insurance and some of the benefits it can bring.

1. Increased agility and responsiveness to change

The first and most obvious benefit of hyperautomation is increased agility. By automating processes end-to-end, organizations can rapidly adapt to changes in the market or customer demands. This flexibility is essential in today’s ever-changing business landscape.

2. Improved customer experience

Another key benefit of hyperautomation is improved customer experience. By automating processes, insurance companies can provide a more seamless and efficient customer experience. This is essential in today’s competitive market, where customers expect a high level of service.

3. Enhanced operational efficiency

Hyperautomation can also help insurance companies to become more operationally efficient. By automating processes, organizations can reduce errors and duplication of work. This can lead to significant cost savings, as well as improved efficiency and productivity.

4. Greater insights and decision-making

Hyperautomation can also help insurance companies to gain greater insights into their data and make more informed decisions. By automating data collection and analysis, organizations can identify trends and patterns more quickly and efficiently. This can help to improve underwriting decisions and claims processing.

5. Reduced risk

Another benefit of hyperautomation is reduced risk. By automating processes, insurance companies can minimize the potential for human error. This can help to reduce the cost of errors and improve compliance with regulations.

6. Reduced costs

Finally, hyperautomation can help insurance companies to reduce costs. By automating processes, organizations can eliminate the need for manual labor. This can lead to significant cost savings, as well as improved efficiency and productivity.

Digital data intake is a key enabler of hyperautomation in insurance

To reap the benefits of hyperautomation, organizations need to have a digital foundation in place. This means digitizing all customer data, as well as internal data and processes. Without digital data, it is not possible to implement hyperautomation.

There are several obstacles standing in the way of hyperautomation in insurance, the main one is the prevalence of manual data collection.

Many core processes rely on data collected manually, which is then entered into multiple applications by employees, often through rekeying. This creates opportunities for errors and delays and increases the costs of processing data.

Digital data intake can help to overcome these obstacles by automating the collection and ingestion of data from multiple sources. This can help to improve the accuracy and timeliness of data, as well as reduce the costs of processing. This enables further automation downstream, creating positive momentum for hyperautomation.

By digitizing data collection, organizations can make it available for processing through automation technologies. This allows for the automated flow of information between different systems and components within the organization, making it possible to hyper-automate processes

Digital data intake transforms the way insurers collect data from their customers. Instead of manual data entry, digital data intake allows customers to input their own data using digital channels such as online forms or mobile applications. This data is then automatically transferred to the insurer’s systems, eliminating the need for manual data entry.

Digital data intake has many advantages over traditional methods of data collection, including:

  1. Increased accuracy: Digital data intake can help to increase the accuracy of data collection. By eliminating the need for manual data entry, digital data intake can help to reduce errors and improve data quality.
  2. Improved efficiency: Digital data intake is also more efficient than traditional methods of data collection. By automating the process of data collection, digital data intake can help to save time and improve operational efficiency.
  3. Enabling automation downstream: By digitizing data intake, insurers can make it available for processing by automation technologies. This will help to improve the accuracy and efficiency of data collection, as well as enable further automation downstream.
  4. Better customer experience: digital data intake can help to improve the customer experience by making it easier and faster for customers to submit their information.
  5. Better employee experience: By automating the process of data collection, digital data intake can help to eliminate tedious and error-prone manual tasks.

 Hyperautomation in insurance is the future

Digital data intake is a key enabler of hyperautomation in insurance. By automating the process of data collection, digital data intake can help to save time and improve operational efficiency. This enables further automation downstream, creating positive momentum for hyperautomation. To reap the benefits of hyperautomation, organizations need to have a digital foundation in place. This means digitizing the way insurers collect customer data, as well as internal data and processes.

Gitit Greenberg
Gitit Greenberg

Gitit Greenberg is VP Marketing at EasySend. Gitit is a marketing leader with a demonstrated history of working in the internet industry. Skilled in B2B marketing, analytical skills, market research, management, teamwork, messaging, and startups, Gitit is responsible for EasySend's branding and messaging.