Robotic Process Automation
for Insurance

Streamline back and front office processes to achieve business growth

RPA_Seguros
Easily Scale Complex Processes

Insurance companies deal with a high volume of paperwork and complicated workflows. A potential customer requesting a quote—an action that seems simple enough from the consumer’s perspective—triggers a series of processes that may involve disparate data sources and legacy systems. This makes it difficult to keep your business running smoothly and efficiently, much less to grow.

Robotic process automation (RPA) software for insurance not only handles your current volume of tedious processes, it can scale to match your future needs. It’s simple to configure software robots to streamline your data extraction, document processing, and other tasks, and adding additional robots doesn’t come with additional costs—unlike hiring new human employees. Depending on your industry, the ability to increase and decrease your workforce at certain times of the year without anyone losing a job might be valuable.

Simplify Compliance Processes

Whether it’s PCI DSS, HIPAA or other regulations, insurance companies all have to deal with maintaining compliance. Robotic process automation streamlines compliance by keeping detailed logs of automated processes, automatically generating the reports an auditor needs to see, and eliminating human error.

Since it’s intuitive and easy to re-configure your software robots at any time, tweaking your processes to fit new or updated regulations is never difficult.

Rely on a Digital RPA Workforce

RPA software has the flexibility to automate almost any repeated process and the ability to scale to meet your future needs. If you’re in the insurance industry, you might want to start by configuring your software robots to take some of the following processes off your hands.

  • Quote Generation.

  • Claims Processing.

  • Coverage Validation.

  • Invoice Generation and Billing.

  • Updating Client Data.

  • Calculating Policy Premiums.

  • Finding Data Mismatches.

  • Compliance Reporting.

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