Intelligent Document Processing Insurance – 3 Interesting Use Cases

Intelligent Document Processing Insurance – 3 Interesting Use Cases

Multiple operational challenges have overburdened the insurance sector’s form-processing workflows. For instance, Intelligent document processing becomes complex with irregular forms from different channels. Teams manually process insurance forms. This is ineffective and hampers productivity. ​​Intelligent document processing insurance is a futuristic approach. As it helps to solve the problem of extracting unstructured data required for Insurance claims.

Moreover,  manually verifying data is complex and error-prone. It usually involves cross-referring multiple applications. Manually processing insurance forms increases costs and hampers the staff’s morale and productivity.

According to WorkMarket’s 2020 In(Sight) Report: “What AI and Automation Really Mean For Work. “70% of business professionals reported spending at least 40% of their time on routine tasks. These tasks included searching, modifying, and sending documents. Hence, organizations constantly look for ways to streamline operations. Something that saves time and reliability on manual processes for tasks about documentation.

This holds especially true in the insurance sector. For a highly regulated market, insurance companies must deliver large volumes of error-free policies and contracts.

KlearStack’s intelligent document processing insurance is transforming business workflows in the insurance sector. Automation takes place for every document, including initial application to underwriting, reinsurance, and claims processing.

Regardless of what kind of document is being processed, scanned or native PDFs, images, or emails. With KlearStack IDP, you can extract meaningful information without defining rules or templates.

Document automation is a game changer for the Insurance sector. Insurance companies are embracing document automation to increase their efficiency.  Intelligent document processing insurance allows insurers to drastically improve profit margins. It also delivers a higher level of customer service that builds trust.

For decades, insurers have been at the forefront of technology adoption. Driven by their aspirations to manage risk, acquire new clients, and enhance existing customer experiences Insurance companies have increased their influence through various inorganic acquisition routes. In addition, insurance companies have vertically integrated their products and services. Healthcare industry stakeholders grow their customer base with the added benefit of IDP and automating documentation.

1.  Claim Processing and Issuance of Authorization letters for hospitalization:

Intelligent Document Processing Insurance sector helps automate new claims classification. It helps route it to the right end-user, thus enhancing turnaround time and accuracy.

As for authorization letters for the hospital, which form an integral part of insurance claims, healthcare is file-intensive. This will address unstructured data costs while improving data integrity and customer experience.

2.  For Validating terms and conditions for KYC automation:

To ensure the insurance companies know who their customers are, they have to identify them. They make use of KYC procedures. On top of that, insurance companies have to be compliant with the Anti-Money Laundering regulations for their specific area. KYC automation requires a list of documents that need verification for the insurance company to proceed. Hence IDP makes this process much faster.

3.  Document and Third-Party Verification:

Insurance claims must be verified from multiple sources by fetching relevant documents. Insurance companies can use RPA bots to fetch third-party information via document chasing. On receiving these documents, IDP can auto-read the same, process and classify them. Thus, insurance companies can take incomplete claim processing to closure with IDP.

Moreover, insurance companies can verify information on licenses, registrations, etc., by extracting data from them through Intelligent Document Processing. The extracted information can conduct third-party verification from databases and public websites.

4.  Data Collection:

Data collection is an integral part of the insurance business. However, it often faces hurdles because of manual processing, reduced accuracy, and slow speed. Intelligent document processing can improve accuracy, consistency, and compliance during data collection and collation in a secure digital environment. Insurance companies can increase the speed of execution and customer satisfaction additionally.

KlearStack AI’s Intelligent Document Processing platform uses machine learning, computer vision, predictive analytics, and NLP to automate manual data processing. The advantages of integration of Intelligent document processing insurance sector include:

1.  Customer onboarding:

Create offers and insurance contracts with zero friction and save time. This is helping many insurance companies enhance consumer experience positively. Thus, it leads to precious word-of-mouth branding.

2.  Everything falls in the right place:

Analysis of incoming documents takes place at the front end of the inbox through IDP at the most relevant point. The unstructured documents are then available in a structured form and in the right place almost instantly.

3.  Internal operations:

Not only do the customers benefit from the IDP but insurance employees also. By automating the previously tiring and cumbersome document processing, they can take care of things where their expertise lies. This enhances employee satisfaction within teams.

Integrating intelligent document processing is a great opportunity for the insurance sector. It empowers businesses to convert unstructured documents into machine-readable documents. Or, in other words, extracting data in real-time has huge advantages in a highly competitive market. This is right from productivity gains to greater customer satisfaction.

Conclusion

Highly structured data is possible to generate through the right tools. Currently, a lot of unstructured data is being presented to customers. The integration of Intelligent Document Processing can help insurance companies improve this situation.

You can automate data extraction and document processing from unstructured, semi-structured, or complex documents. This helps to drive operational efficiencies and realize economies of scale. With KlearStack’s AI-driven OCR and Intelligent Document Processing (IDP) platform, this is possible.

We would be glad to audit your document-centric processes if this sounds interesting to you.

Feel free to sign up for the feasibility audit here https://bit.ly/3Pfc5yr

Ashutosh Saitwal
Ashutosh Saitwal
www.klearstack.com/

Ashutosh is the founder and director of the award winning KlearStack AI platform. You can catch him speaking at NASSCOM events around the world where he speaks and is an evangelist for RPA, AI, Machine Learning and Intelligent Document Processing.