Insuranceciooutlook

Robotic Process Automation Easing Insurance Operational Processes

By Insurance CIO Outlook | Tuesday, August 13, 2019

Robotic Process Automation Robotic process automation leverages the insurance sector to reconstruct their existing business operational model to create customer-centric insurance services.  

FREMONT, CA: Insurance companies demand repetitive and operational tasks with value-added processes to determine a pace of growth. Processes include servicing of different policies, underwriting, and claims to process, each holding crucial but monotonous work for the industry’s efficiency. Technological influence is at the peak and covering various sectors globally, including insurances. The insurers estimate the adoption of innovations like Robotic Process Automation (RPA) to reach up to the level of 85% to automate the relevant market. RPA’s potential of developing innovative insurance products, accelerating claim handling, and improving fraud detection leads the way to explore a full insurance solution and attracts more investors for insurtech.

With 80% of the insurers recognizing the need for automation capabilities, the rapid emergence of insurtech companies is not a surprise. Tending advantages of automation and Artificial Intelligence (AI) -powered apps help insurance startups to access smart marketing and real business strategies. Plus points, like configuring a brilliant operating model and obtain a more customer-centric approach by the insurance companies and budding startups, are delivered by the robotic process automation. RPA includes capabilities such as Machine Learning (ML), Natural Learning processes (NLP), and many such, to build a competitive market environment. The technology has the highest impact on the insurance company in the aspects of the operating model. It restructures the regulatory methods for transactions, reduces the size of the organization, and raises the engagement of the departmental layers.

Insurance operations, such as policy serving and reporting, can highly streamline the digital processes for a higher level of self-service and automation. The rising demand for IT and other support functions offer the reduction of workforces, as it standardizes the data platforms and builds cloud-based strategies and analytical tools. The deployment of intelligent data analytical tools, machine learning advantages and standard algorithms, potentially improvises the segments of business development, insurance products, and marketing. RPA solutions can extend the transformational journey of the insurance companies with the advantages of modular sourcing, integrated systems, and transparency and control.

In modular sourcing, the specialized technological capabilities of disaggregated services on the cloud allow the insurers to source different IT architectures to build intelligent applications. The integrated systems provided by RPA solutions can self learn and generate insights from access to multiple channels. Deployment of the innovations powers the legacy systems with different technological features of big data, IoT, and cloud, leading to smooth work ecosystems for data distributions across the enterprises and deliver unified data model in consumable formats. The insurance system partnering with the RPA updates helps the employees to gain customer trust with intelligent suggestions and customized offerings. The robust audit mechanisms can help the insurers to maintain transparency and control by solving the robust analytical reports efficiently.

The implementation of the RPA increases customer-centricity across the industry. The solution empowers insurers to focus on customer expectations, conveniences, and personalized policies through consistent interaction for information and services via multiple channels. Features like language processing capabilities and machine learning techniques allow the robots to improve customer understanding and take immediate actions on complex claims and reduce the handling time. The ability to virtualize the underwriting process extends the customer base by understanding the needs and risks of customers at the granular level. Intelligent analytical engines help the insurance industry by generating a unified profile view of their customers supporting smart assistants to perform more enriching conversations with customers.

The robotic process automation technology highly supports organizational attempts to pursue a fast-moving business with sound strategic implementation. The innovative approach by the insurance companies is fabricated by powerful insights and connections, validating the decisions for business growth. RPA abilities to analyze, predict, communicate, and consistent learning build an infrastructure for better business operation model and customer relationship management.

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