AI-Powered Property Inspection Automation

Client:

Leading US Insurance Provider

Industry:

Insurance

Technology:

Anthropic Claude LLM, AWS Bedrock, Python, Prompt Engineering, Multimodal embeddings

About the Client

Our client’s underwriting process relies heavily on detailed property inspection reports submitted by external agencies. These comprehensive reports, containing both textual assessments and evidence, serve as the primary data source for critical business decisions including policy premium, policy approvals, and risk-based cancellations. However, this entire process is manual, creating significant operational challenges when processing hundreds of inspection reports daily.

Challenges
  • Manual Bottlenecks: Underwriters manually reviewed PDF reports and images to identify discrepancies, causing delays.
  • High Volume: 300-400 daily inspection reports overwhelmed human resources.
  • Risk Management Gaps: Required careful evaluation against company guidelines, with the need to make critical decisions about premium adjustments or policy cancellations based on identified risks.
  • Accuracy Concerns: Manual review processes were prone to inconsistencies and potential oversight of critical risk factors.
Solution

Our AI Team at Evoke Technologies developed and deployed an intelligent Property Risk Agent that revolutionizes the property inspection review process through advanced AI capabilities. Our system leveraged Claude LLM integrated with AWS Bedrock to create a comprehensive multi-modal analysis platform. The solution features:

  • Automated Report Processing
  • State Guidelines Integration
  • Intelligent Verification
  • Automated Decision Making
Business Impact
  • Reduced Turnaround Time for customer support while requiring fewer underwriters
  • Resource Optimization: Reduced underwriter workload significantly, while accelerating policy decisions.
  • Improved Accuracy​: Accuracy testing was done by running 400k reports and fine-tuned the prompts to reach70% to 80%.
  • Streamlined Processing: the new system can process 300 inspection reports daily from over 10+ Agencies.
Read The Full Case Study

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