Automation and AI-driven data extraction improve the speed of new insurance request issuance for a large P&C insurer
Case Summary
The Challenge
The client was faced with a new process for handling commercial and personal insurance applications that required extensive documentation. On average, about 40 pages per policy required human intervention. Such a high volume of paperwork meant a high lead time for policy issuance spanning multiple days to weeks.
This led to long client wait times and impacted net promoter scores. As one of the world’s largest insurers, the client’s priority was to ensure 100% customer satisfaction with top-quality products and
services.
The insurer wanted to speed up the policy issuance by utilizing technology to streamline and standardize the processes and reduce human effort and time consumption. The conventional go-to-technologies such as OCR and RPA couldn’t be used as they suffer in accuracy while extracting from unstructured documents.
Moreover, a strategic inclusion of human intervention was indispensable to the process. They were looking for a partner that could provide end-to-end support on automation to drive efficiencies.
The Solution
The client decided to partner with SLK to find a solution to this problem. The SLK team evaluated the problem statement and created a strategy using the power of machine learning and automation for resolution. We deployed novel extraction techniques using NLP/OCR/computer-based vision-based geometry and synonyms from structured and unstructured application forms, including email submissions and attachments. In addition, an artificial intelligence-based classification harmonized with industry-standard taxonomy was implemented for document and version changes. Lastly, the Human in The Loop capability was used for exception processing and approval.
Business Impact
> 90%
Accuracy
10x
Improvement in efficiency
40%
Submissions automated
15 Min
Processing time to extract 145 parameters
SLK’s Solution Delivered Quick Results:
- Quick turnaround times by streamlining, standardizing, and automating resulted in reduced client wait times
- End-to-end automation translated to operational efficiencies and improved conversion ratio and net
promoter score - A high-end AI-driven solution reduced the need for human intervention and rationalized the new business
request intake