RPA in Insurance

There’s no shortage of regulations and inflexible workflows in the insurance industry. Still, there are some major changes going on in the industry, so we expect to see huge adapting responses and resilience from the insurers side.

TAP™ into RPA

Risks are rapidly increasing for both people and organisations. We faced hurricanes and wildfires like never before, climate change, not the mention COVID-19. Meanwhile, some businesses faced huge losses because of the pandemic situation or even faced dissolution. With the pandemic serving as a catalyst, cybercrime is also on the rise.

I bet you can clearly see how this is affecting the insurance industry (not necessarily in a negative way, if you jump at the opportunity). The insured has more needs to be covered and also, naturally, higher expectations.

You, as an insurer, are expected to take informed decisions on-the-go and respond to customer demands in real time. You need data-centricity for deeper customer understanding and segmentation, seamless operations, and as a consequence, high customer delight.

CASE STUDIES

How RPA is changing Insurance

Risk Evaluation

RPA can automate record checks that access thousands of data sources from various systems to verify conflicts of interest, thus eliminating manual processes and inaccurate checks that can result in fraud, regulatory penalties and even loss of business.

Bulk Payments & Recoveries

Tailent RPA connects to existing applications to extract the relevant data in order to perform bulk payment posting and reconciliation activities. It also triggers responses, automatically sends payment reminders, and communicates across multiple systems.

New Account Set-up

Tailent RPA uses OCR for ID verification and can automatically capture signed documents. It can also help you with the onboarding for new customers by providing login credentials and access to resources for your new accounts, reducing the overall set-up time.

Fraud Detection

Review current and historical transactions to identify any potential illegal online activities. Acquire, integrate and verify data across multiple channels to detect and flag fraudulent dealings.

Payment Processing

RPA can collect customer information from enterprise databases, process payment, send a confirmation email, and place an order.

Customer Communications

You probably communicate with customers via letters, SMS, Alerts and Notifications. Tailent RPA accesses relevant customer data from one or multiple systems on a daily basis providing relevant information to the right beneficiary.

Claims Data Extraction

RPA eliminates manual keying and automates healthcare claims-related processes by using OCR (optical character recognition) to extract data from paper documents and validate their accuracy.

Statement Distribution

It must be so painful to manually handle the data coming from multiple systems that statement distributions so much depend on. Automate and optimise customer communications delivered in their preferred channels like email or printed documents.

Redemption Processing

Our solution organizes the redemption processing through the generation, storage and tracking of both internal and external communication. Data from legacy reporting systems or spreadsheets are integrated and merged into a central system.

Underwriting

Streamline the corporate underwriting process, from application to issue, while applying underwriting rules and risk analytics instantly. Through RPA, underwriters have accelerated access to critical information comprehensive analysis in real time.