Insurance

Today, consumers have far greater control and choice.

For insurance companies to exceed customer expectations, delivering innovative services, streamlining administrative processes, and providing exceptional experiences that ensure the fulfillment of the customer's needs, remains at the heart of everything they do.

InsurTech companies are now venturing into pay-per-use business models. For customers, it allows them to purchase premiums only when necessary.

As its popularity increases among younger generations, these models allow insurers to consider risk holistically and support their pursuit of new market shares by obtaining valuable customer data.

As insurers embed technologies and draw out data from assets and people's lives through predictive behavioral analytics and IoT devices, they can better understand the causes of risks.

With those insights, insurers can tailor policies and premiums to the individual. In addition, the insights they acquire can ensure proactive intervention and prevent risk and fraudulent behavior.

Previously, generic data was the insurance industry's core, focusing on geography, demographics, and claims history.

However, insurers are pursuing new forms of data analysis for a competitive advantage. The influx of online and telematics data and connected consumer IoT devices provide greater insight into customer behaviors and lifestyles to enhance the delivery of personalized services.

AI is having a seismic impact across the insurance industry, and its presence is visible across numerous processes.

In particular, analytic tools support insurance companies in delivering customized pricing and improving interactions that focus on customer experience and fraud prevention through chatbots, optical character recognition, sentiment analysis, and social media algorithms.

Insurers are a growing target for cyber attacks. The industry's reliance on technical solutions and data increases risks.

The consequences of a cyber attack can be severe and result in supply chain interruption and reputational damage that may be irreversible.

Insurance companies must evaluate the risks associated with their systems to ensure they understand how threats materialize and the controls necessary to prevent attacks.

As the value chain goes digital, insurers must identify skill gaps and assemble the optimal workforce for their digital business needs.

Whether for efficiency gains or to deliver upon consumer expectations, insurers require the personnel with the right digital capabilities to grow and safeguard their future.

Insurers have traditionally relied upon legacy applications and systems. However, over time, systems have grown isolated, causing decision-making friction, degrading agility, and increasing maintenance costs.

Yet, to avoid expensive investments in top-of-the-shelf technology or building systems from scratch, Robotic Process Automation (RPA) bridges the gap between legacy systems to improve the customer experience and productivity through faster operations and lower labor costs.