Insurance Company in Southern Africa
A leading insurance provider in Southern Africa needed to modernise the way policy documents submitted by brokers were processed. Manual extraction and interpretation of policy schedules created operational bottlenecks, delayed turnaround times, and increased processing costs.
By partnering with Sybrin, the insurer transformed a labour-intensive process into a highly automated, intelligent workflow capable of processing policy information in minutes rather than hours.
Key Outcomes
- Continuously improving document processing solution.
- Reduced policy processing time from 8 hours to 5 minutes.
- Reduced operational staff requirements from 80 employees to 8.
- Freed up employees’ time to focus on other priorities.
- Lowered processing costs per policy by 74%.
The Challenge
As broker-submitted policy schedules increased in both complexity and volume, manual processing became increasingly unsustainable. Teams were spending hours extracting and validating data from policy documents, creating delays and placing pressure on operational resources.
The customer needed a solution capable of intelligently extracting and interpreting policy data while reducing manual intervention. Beyond automation, they required a scalable, outcomes-driven approach that could continuously adapt to changing document structures without disrupting operations.
The Solution
The answer was Sybrin’s Intelligent Document Processing (IDP) solution, designed to automatically identify, extract, interpret, and translate information from complex policy schedules.
Using machine learning capabilities, the solution continuously adapts to document variations and evolving formats, significantly reducing the need for manual intervention while improving processing consistency and accuracy.
The Impact
The transformation delivered immediate operational and financial benefits. Processing times were reduced from eight hours to just five minutes, dramatically accelerating turnaround times and improving operational efficiency.
The customer also reduced its dependency on manual processing teams by 90%, enabling staff to focus on higher-value activities while significantly lowering operational costs.
By combining intelligent automation with machine learning, the customer established a scalable foundation capable of supporting future growth and ongoing digital transformation initiatives.
Why Sybrin
After evaluating multiple providers, our customer selected us for our ability to deliver a complete end-to-end automation solution backed by proven expertise in intelligent document processing.
We demonstrated superior performance during the proof-of-concept phase and provided a delivery model aligned with our customer’s operational and business objectives.
