The future of insurance automation

The CoE is a dedicated team responsible for assessing current solutions, evaluating tools, providing training, and assisting teams with their use cases. It’s like having a team of automation experts at your disposal, ready to help you navigate the complex world of automation. Whenever customers are interacting with brands, they often expect immediate or near immediate responses. Automation enables insurers to conduct risk assessments quickly and accurately, making the customer onboarding experience far smoother. However, with the advent of automation and process orchestration, insurers can now break down these monolithic systems into more manageable, scalable ones.

This data can help you make better decisions about how to improve your marketing and sales processes. A CRM helps ensure a consistent, personalized experience for all your clients. Log service calls, claims, and any client interactions so you have a complete view of each customer relationship.

Business and process analytics

Here, the entire insurance process follows an automated flow – from lead generation and online application to verification and issuing a policy. At Luxoft, we help insurance companies transform workflows and attain strategic goals with intelligent automation solutions. This use of multiple technologies — RPA, OCR and AI — in business and process analytics is one example of how intelligent automation in insurance can streamline operations for industry players.

• Today, conversational AI steps in, enabling customers to submit claims through simple chat interfaces.
• Use this data to anticipate needs, address issues quickly, and strengthen loyalty.
• You’ll have easy access to contact information, policy details, communication history, and more, enabling you to deliver a highly personalized customer experience.
• According to McKinsey the median age of IT applications has reached 18 years in the insurance industry.

Policy management is another area where automation can make a big difference. From policy issuance to renewals and modifications, automation can handle various tasks efficiently, reducing manual intervention and potential errors. “Usage-based insurance programs,” writes Forbes “generally measure speeding, acceleration and harsh braking, along with mileage and the time of day you drive”. With the growing popularity of UBI, insurers need to keep up with daily adjustments in how customers utilize their insurance. However, automation can make this process a piece of cake, enabling insurers to adjust premiums effectively and efficiently. Insurance firms and agencies are grappling with labyrinthine regulations, risk management, competitive pressures, or the ever-increasing demand for seamless customer experiences.

What is Insurance Automation Software?

Implementing insurance automation speeds up the process and minimizes the reliance on human intervention to move an application through the required stages. Automation also reduces human errors and frees up employees to focus on improving applicants’ experiences with the insurance company. Technological advancements require that insurance companies prioritize digital transformation initiatives to keep up with market innovations and customer needs in today’s modern landscape. Insurance companies can digitize and automate time-consuming, paper-heavy tasks using RPA, freeing up employee time for high-value work.

An insurance premium is how much cash an individual or business should pay for a protection contract. The insurance charge is paid for by the insurance agency whenever it is acquired and furthermore addresses an obligation in that the guarantor should give inclusion to claims being made against the contract. Automated underwriting is fast gaining prominence in the insurance industry, boosting accuracy and speed in this critical insurance operation. Insurance automation helps to simplify and minimize interactions with insurance providers throughout the customer journey.

Policy management

So, insurance software has a scope from customer relationship to business process management. LeadSquared Insurance CRM, SEMCAT (now Applied Rater), Insly, and Jenesis Software, are examples of top insurance software products serving Insurers in different capacities. According to McKinsey the median age of IT applications has reached 18 years in the insurance industry.

Using robotic process automation in insurance can also benefit sales teams. For example, RPA can pull together all the relevant data needed for sales, funnel, and other reports, generating them in several clicks. Furthermore, it can continuously update them with new data, automating reporting and enabling well-informed decision-making at all levels. Automating insurance processes is beneficial as it saves time and enhances data accuracy. When individuals manually enter customer data, they are prone to making mistakes, leading to poor data quality. Insurance automation provides users instant support through virtual agents powered by generative AI and robotic process automation (RPA), the most commonly used tool in insurance automation.

One of many compliance-centered use cases is Name Screening Alert Review for Sanctions and PEP (politically exposed persons). Screening systems generate thousands of alerts daily, and most of them are false positives. Automating their review drastically lowers the number of false positives a person must manually handle — reducing time and effort while increasing accuracy and auditability. Unfortunately, overflow of routine back-office operations, heavy reliance on manual work, and outdated methods and legacy systems make achieving these goals difficult. While RPA is just the first step, automation is expected to be driven by cognitive technologies in insurance. Analytic capabilities that enable machines to “think” and perform tasks that are commonly designed for humans are being implemented in robotics today.

For example, set up an email series to educate new leads on different policy options, or promote an insurance offer on social media and capture leads with a landing page. With workflow features, you can set up automatic lead routing, task reminders, and follow-ups. This helps ensure important prospects and clients don’t slip through the cracks.

Insurance automation: How is RPA transforming the insurance industry?

For instance, in claim processing, RPA can streamline data extraction and verification so that employees can focus on tasks other than moving data between documents and systems. Insurance companies can enable purchase and processing through web and mobile apps and other digital means, enabling automation through application programming interfaces (APIs) and connection requests in the backend. Cognitive software tools like NLP and machine learning power simple user interfaces like chatbots to support and guide customers and respond to their questions when navigating insurance apps and processes.

Additionally, sentiment analysis tools can be used to analyze customer feedback and sentiment, providing insurers with valuable insights into customer preferences and expectations. By automating customer-facing processes such as claims processing and policy management, insurance companies can provide faster, more efficient, and more personalized service to their customers. Of course, there are many more use cases and benefits of automation in insurance. In the future, intelligent automation software will also ramp up these benefits.

AI and RPA can work in tandem in the framework of intelligent automation solutions. For example, you can use RPA to aggregate financial performance data from multiple sources. In turn, AI can take over to predict the next quarter’s results or to identify cost-saving opportunities. RPA is able to perform the kind of work that not only lets insurance company employees focus on more necessary tasks, but also improves customer satisfaction, reduces costs and minimizes risk. This information can help insurance providers better serve their clients, improving customer experience. Insurance companies can increase customer satisfaction and retention by using customer information to create customized products and services.

You’ll have tools to nurture leads, build personalized marketing campaigns, provide top-notch customer support, and analyze data to gain insights into what’s working. Integrating these functions into your CRM helps break down silos between teams and gives you a holistic view of your customers’ experiences. Insurance industry automation is enabled by adopting smart workflow automation solutions like Cflow.

• At Luxoft, we often turn to RPA to deliver intelligent automation solutions to our clients in insurance and other industries.
• For example, you can use RPA to aggregate financial performance data from multiple sources.
• Once you’ve acquired the right CRM for your insurance agency, you need to make the most of it.

This allows insurance companies to fulfill their regulatory reporting obligations without dedicating dozens of working hours to this rather tedious process. Data accuracy is a fundamental regulatory requirement that insurance companies must comply with. Implementing robotic process automation in insurance can ensure this by eliminating the risk of human error in data entry and extraction. With the help of insurance automation, internal processing time would be lessened by 80%.

If human representatives are the only force available for processing these data, then this might take more time and money to get things done. The reality is that using robots to drive tangible business benefits has become the new norm for various business sectors. What used to be a paper-heavy task can now be automated thanks to the Robotic Process Automation (RPA). Rather than conducting lengthy negotiations between the insurer and claimant, with insurance claims automation, the process can be a simple transfer of documentation and funds.

Selecting the right use of automation will determine how successful the digitization initiative can be. Underwriting relies heavily on customer information and historical data that is stored in disparate systems. This data needs to be checked by users before establishing whether they should issue a customer with a policy or not. Automation of the underwriting process orchestrates all the information so that users do not have to manually log into different systems to search for data. Among the insurance processes, these 5 processes are best suited for automation.

Read more about Insurance and benefits here.