Viewpoint: Streamlining Claims Processing with Intelligent Process Automation

In recent years, the insurance industry has seen an influx of new market entrants seeking to disrupt and reinvent specific business segments by launching new products and services free of the expense and overhead of “traditional” players. These digital “insuretechs” have the advantage of leaner, more agile processes and lower transactional costs. Big incumbents, despite all their scale and financial leverage, often have a tough time competing with them.

Ironically, advances in new digital technologies like artificial intelligence, specifically applied to process automation (what some call Intelligent Process Automation), are leveling the playing field when it comes to organizational agility and operating efficiency. And claims processing is one particular area where larger insurers can take real advantage of these opportunities to keep pace.

The Challenges of Automating Claims Processing

Insurers have invested a lot in automation in recent years with great results. But claims processing remains a fairly manual process because of the large amounts of unstructured and semi-structured content that are typically core to the process. For example:

In each of these scenarios, it is very difficult to analyze this content to pull out the required information. In order to process a claim, this data needs to somehow make its way into the company’s Claims Processing system. Today, the “input” still relies heavily on manual data entry or non-scalable search and taxonomy-based approaches. Neither is particularly efficient – creating opportunities for errors and long cycle times.

Ideally, each claim would follow a set of pre-defined workflows; e.g., what Robotic Process Automation (RPA) solutions do. RPA is widely adopted in many insurance companies, but they are not able to handle all the related claims data that comes in unstructured form.

Intelligent Process Automation

Intelligent Process Automation (IPA) is a new approach that is particularly well-suited to the challenges of claims processing. For one, it is specifically designed for all the unstructured content and document-based workflows that are so important to accurate claims processing. Unlike other automation technologies, IPA has the ability to understand text, images, documents and other unstructured data. It can “learn” a set of tasks related to a business process and gives claims processing personnel the ability to dramatically improve their throughput and efficiency.

Intelligent Process Automation complements RPA solutions by providing a way to automatically inspect the unstructured data within claim submission documents and automatically classify and annotate a new claim such that it can be effectively routed to the right SME for evaluation and processing. IPA can handle those workflows that can’t be automated using RPA. It takes unstructured content and plugs it back into business process flows in structured form.

The result is faster processing times and improved accuracy driving improved customer satisfaction and organizational efficiency.

Getting to ROI More Quickly

To take full advantage of Intelligent Process Automation in your claims processing, there are three core things you need to have:

  1. A clear and shared understanding of the claims processing workflow you are looking to automate or augment. Don’t assume everyone involved in the process shares the same view of how the process works.
  2. Representative data, content or documents for your claims process. You don’t need a lot of it, but you need good examples.
  3. Input from the key SMEs to define and evaluate success. Target those people most involved in your claims processing workflow. Who will automation benefit the most?

With these in hand, insurers can automate their claims processing workflow and achieve initial ROI in just three to four months, including development and deployment of the process.

Other Insurance Use Cases for Intelligent Process Automation

There are a number of other use cases in Insurance that can benefit from Intelligent Process Automation (“IPA”). The common thread is anywhere a given set of documents need to be evaluated, reviewed, and/or classified, etc. by a number of different people. For example: