17 Aug How Claims Automation Cuts Insurance Costs
According to Deloitte, claims processing typically accounts for around 70% of insurers’ costs. Claims processing, as you know, has historically been a complex and labor-intensive manual process. It’s a process prone to errors and fraud, ultimately affecting the efficiency of claims processing and incurring high costs for insurance companies.
What is claims process automation?
The importance of efficient claims processing
Choosing the right data extraction solution
How claims automation with Docketry cuts costs
Claims automation becomes the beacon of hope for the insurance industry. By implementing advanced AI technologies like Docketry insurance companies can significantly improve efficiency, reduce costs, and enhance the customer experience. Here are the ways in which claims automation helps in achieving these objectives:
Faster time to resolution
Prompt resolution of insurance claims is pivotal to customer satisfaction and cost management. Long-drawn-out claim processing leads to frustrated policyholders, potential loss of clients, and increased costs for insurance companies. Through automation the initial receipt and processing of claims documents become faster. The quicker you gather all the necessary data for a claim, the faster you can resolve it, reducing costs in the process.
Reduction of manual activity
Automating manual processes within claims submissions results in significant cost reductions and improved loss ratios. With AI handling tasks such as transcribing call centre phone calls and intelligent intake assessing damages based on photos, the need for extensive manual effort decreases, speeding up the adjudication process.
More complete claims submissions
Automation allows insurance companies to gather more data from claims documents. This extensive data collection facilitates more nuanced adjudication of claims, especially in commercial insurance. A fair and accurate assessment of claim exposure reduces costs related to loss ratios and impacts both loss and combined ratios positively.
Detection of insurance fraud
AI technologies help in identifying fraudulent claims efficiently. Technologies like intelligent intake can process and understand data and compare it to other datasets, enabling the detection of fraud. Recognizing potential indicators of fraud that might be challenging for humans to identify reduces loss ratios by flagging claims that should be denied.
Improved customer experience
By streamlining processes and reducing the need to ask customers to submit the same documents multiple times, claims automation not only cuts costs but also enhances the customer experience. Faster claims processing leads to happier policyholders and higher NPS, ultimately boosting the reputation of insurance companies.
