The process of underwriting London market risks still relies too much on manual data entry and ingesting unstructured data in different formats. This approach is costly, time consuming and error prone.

However, as digital technologies develop, and advances in data analytics and automation continue at pace, the race is on to enable data-driven underwriting processes that will provide the competitive edge as well as delivering efficiencies.

Attend this breakfast briefing to hear a case studies on successfully automating the extraction and enrichment of unstructured pre-bind data to transform traditional, manual underwriting processes. The following discussion will explore best practice techniques and aligning people, processes and technology to ensure your initiaves deliver ROI.

Topics to be covered include:

• Moving from traditional paper-based approaches and processes to digital
• Best practices for extracting and enriching submission data
• Applying advanced analytics and models to help underwriters make better decisions in a shorter time
• Strategies for delivering this change across the organisation
  
  

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