Case Summary
The Challenge
An insurer with highly standardized and efficient operations wanted to take their performance to the next level. Automation was a key enabler, but RPA solutions were unable to overcome the complexities. The insurer was eager to adopt AI/ML technologies with additional capabilities like NLP but lacked the in-house expertise to implement them for most use cases. As a result, they were struggling to innovate.
The Solution
SLK took a comprehensive approach to understanding the client’s operations and technology, identifying key processes that could benefit from transformation. Through surveys, interviews, and workshops, SLK developed a customer-centric plan to improve processes and operations. They used process mining to gather data
for initial mapping and ongoing improvements. SLK implemented incremental delivery with a focus on AI/ML-powered automation to minimize risk and impact. They provided continuous support to improve AI/ML models, handle exceptions, meet HITL (Human-in-the-Loop) requirements, and drive further improvements with mined data. SLK leveraged multiple technologies to widen the scope of automation and achieve straight-through processing.
Business Impact
SLK helped the insurer transform their operations on all fronts, people, processes and technologies to drive higher efficiency and productivity.
>95%
Accuracy achieved in data processing
40%
New submission and endorsement processes automated
8X
Improvement in efficiency