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Using Intelligent Automation to Drive Digital Transformation

Insurance CIO Outlook | Tuesday, May 30, 2023

Intelligent automation technology allows insurers to streamline operations by using artificial intelligence (AI), process mining, and other advanced digital technologies.

FREMONT, CA: When compared to other industries, the insurance sector has been left behind in the implementation of change. Accepting and adapting to this change allows insurers to keep up with their consumers, who are ahead and the amount of policies that are being bought online is only increasing. The concept of digital transformation in the insurance industry is becoming a familiar concept. Insurers are actively looking for technologies that can offer the most impact on their operations in the shortest period possible.

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One such technological process that is establishing itself as an essential technology for insurers is intelligent automation. This allows insurers to streamline operations by using artificial intelligence (AI), process mining, and other advanced digital technologies. There are many benefits to using intelligent automation, which include improved response times, better productivity, and lowered operational costs.

The Role of Intelligent Automation in Insurance

The slow implementation of new technologies in the insurance industry can be chalked up to the unstructured and unorganised nature of documents which are given by consumers, underwriting or claims handling guidelines and strict state regulations. Insurance documents come from different sources like phone calls, emails, and other channels. These documents may involve handwritten notes and necessitate a contextual understanding. Using intelligent automation by integrating it with robotic process automation with artificial intelligence technologies like natural language processing, machine learning, optical character recognition, or even computer vision, can help insurance companies in overcoming this obstacle.

Insurance organisations in the present day are faced with a paradox, striking a balance between their historical, decades-long, legacy systems while also implementing new-age technologies, which provide values, capabilities, and efficiencies. Although many companies want to undergo digital transformations, there have been challenges surrounding it, which include substantial amounts of unstructured and underutilised data, manual labour within business processes, and compliance and security risks. The use of intelligent automation can mitigate these issues.

Intelligent automation predicts the requirements of customers and users while decreasing human touch points. In the context of insurance, an intelligent capture and management platform aids in the capturing and categorising of important documents, and consequently relating these documents and their contents to each other. Intelligent automation behaves as a catalyst for insurers to drive advanced analytics, operational efficiencies, and better customer experience.

Critical Advantages of Intelligent Automation

When a conversation is about the uses of intelligent automation in insurance, the implication is that it involves replacing human workers with bots. This could not be further from the truth. Intelligent automation encourages insurance employees to focus on high-value tasks, which can result in improved job satisfaction and a better customer experience. Intelligent automation is capable of generating substantial changes for insurers.

Encouraged Workers

By automating repetitive and manual tasks, insurance companies can free employees to focus on more meaningful work. This allows the staff to redirect their time, efforts, and energy toward projects and initiatives that better exemplify the company’s goals.

Improved Efficiency

Intelligent automation is powered by robotic process automation, machine learning, and capture automation, and therefore, it automates tasks and improves productivity and decision-making. As a result, the claims processing and payment approvals are faster. Traditionally, the underwriting process is more manual and paper-intensive, and by the use of technology, it is being transformed by business processing solutions. Insurers are utilising content service platforms and integrating them with intelligence capabilities. This helps automate signature identification, age requirement recognition, and other compliance tasks.

Better Audits and Compliance

The automation of records and retention management decreases human errors. Staff can observe and identify the location through which sensitive information is being entered into the system and take necessary actions to remain compliant. The number of regulations that insurers have to comply with is substantial, and it can be difficult to perform them manually. Using intelligent automation tools in such scenarios makes many processes, such as validation policies, generating defensible audit trails, and creating regulatory reports, more efficient and also reduces the number of errors. An automated platform positions processes, people, and technology, helping insurers stay compliant.

Improves Security and Fraud Protection

System integration tools and workflow automate the flow of data within an organisation, reducing the requirement for human touchpoints and also increasing the security of sensitive information. As data for insurers arrives through multiple sources, there is an immense need for cybersecurity. Fraud detection and protection to prevent false claims depend heavily on intelligent automation. AI/ML technologies are capable of scanning large amounts of data in a small period and subsequently identifying fraudulent claims in advance, by analysing previous history or customer information.

Insurers have begun adopting automation tools in multiple factors of their product cycles and quality engineering. However, many of them use the tools in silos and fail to implement them as a fundamental element which should be present in all business and technical processes. A more thorough approach is required in the implementation of intelligent automation, where various technologies such as robotic process automation, AI, and ML are integrated to support an insurer’s complete digital transformation.

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