Insurance Automation: The way forward


The heads of operations, innovation, technology and the C-Suite within insurance are aware of the automation. Document processing solutions and intelligent automation offer an integrated way to extract data for insight and analysis while automating the repetitive document processing.

Artificial intelligence (AI) can be used by insurance companies throughout workflows. It saves time, money and human effort required to organize and analyze documents and data. This helps in increasing productivity and throughput. By automating mundane and repetitive document review and data entry tasks, AI empowers and enables workers to focus on higher-value work.

Optimizing the insurance value chain with digitization

Data can be fed throughout the subsequent stages of the life cycle, right from the submission stage maximizing downstream benefits.Digitization with Automation Here are some of the opportunities firms can enable:

  • reduce operational overheads
  • accelerate processing times
  • provide better quality data for risk modeling and decision-making
  • end-to-end policy life cycle digitization

There is usually natural wastage and productivity loss at every step in the life cycle. Eliminating repetitive document and data processing tasks frees up team members to think strategically and act tactically. This gives them a sense of achievement leading to improved employee retention and job satisfaction. When it comes to highly skilled insurance professionals, this is particularly important with the huge rise in demand for skilled workers.

Insurers have the potential to analyze existing and incoming data from slips, submissions, policies and claims documents in new cost-effective ways by using AI. It gives them a distinct competitive advantage. Turning data into a driver of profit requires the right tools. Using AI helps analyze and understand information while automating business processes throughout the value chain.

Increasing productivity in insurance operations

In the insurance industry, underwriting is the foundation. Optimizing underwriting and underwriting operations is crucial:

  • to the success of a carrier and any intermediary
  • sits at the beginning of the value chain

Even though it is tremendously important the underwriting workflow still has several unresolved pain points relating to:

  • Data compilation
  • Analysis
  • Input and rekeying

Suboptimal Data Organization

Incorrect or incomplete client data is a problem for brokers and insurance companies. This issue can be solved by automating the compilation and verification of information received from prospective insured parties. You can reduce the turnaround time and errors with a higher likelihood of winning more business by automating these steps.

Inability to Make Faster Underwriting Decisions

It can feel like a race against time to make an underwriting decision once you submit documents. It often isn’t conducive to making an informed decision backed by a full review of all the available data as speed is of the essence. You can expedite and improve underwriting decision-making by automating the extraction of data from submission documents.

Can’t Quickly Analyze Historical Data

Underwriters need to review and analyze the relevant historical documents and claims data so they can price effectively apart from wading through and making sense of submission data. When you have the relevant data at your fingertips, it gives the underwriter the confidence to price more effectively based on risk and take on more business.

It’s time-consuming to Do Post Bind Data Entry

To complete the policy creation process, the insured party details need to be entered into various internal systems. The speed at which premiums can be collected and revenue generated can be improved by speeding up data entry tasks and getting the data correct. This is a must because employees who rekey the data required for the entire system to work can be a choke point. You can eliminate manual rekeying and alleviate bottlenecks as well as free up time for other high-priority work by using intelligent automation and document processing to automate these repetitive tasks. In reality, many companies are still manually wading through a constant flow of documents.

It is possible to process and extract data from documents and send them to downstream systems in minutes to save time, increase productivity and improve accuracy with the power of AI-powered automation tools with natural language processing (NLP) and machine learning (ML). This can increase revenues because more business is won, faster all due to better operational efficiency. Having much faster access to high-quality data, the best opportunities for new business can be prioritized by optimizing underwriting productivity. It allows faster responses to brokers, thereby winning more business.

Deliver Nextgen Customer Satisfaction with Exdion

By eliminating repetitive manual processing, intelligent automation technologies drive efficiencies and enable people to expand their capabilities. The best way to reduce bottlenecks and delays while controlling operational costs is through the automation of document processing and data extraction.

These solutions help to put the right information, with a richer set of data points, in front of key decision-makers. Time is freed up for people to focus on their customers’ needs by using technology to streamline processes. The quality and accuracy of data are typically higher.

AI Solutions

Intelligent automation and document processing accelerates both cost and business transformation programs. You can now focus on customer service while maintaining long-term growth. In this world, you can’t afford to miss out on achieving these productivity gains. Get in touch with Exdion to automate your insurance processes today.

Scroll to Top