AI-Powered Property Inspection Automation - Evoke Technologies

Case Study Details:

Industry Icon Industry Insurance
Region Icon Region USA
Technology Icon Technology Anthropic Claude LLM · AWS Bedrock · Python · Prompt Engineering · Multimodal embeddings

The Challenge

The 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 premiums, policy approvals, and risk-based cancellations. However, this entire process is manual, creating significant operational challenges when processing hundreds of inspection reports daily.

  • Manual Bottlenecks: Risk Analysts 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

Evoke's Approach

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: The AI agent processes both PDF inspection reports and accompanying property images simultaneously
  • State Guidelines Integration: Built-in knowledge base containing state-specific guidelines and company policies for accurate compliance checking
  • Intelligent Verification: Two-stage verification process that cross-references report data against state guidelines and validates property images against report descriptions
  • Automated Decision Making: The system can perform the following:
    • Automatically recommends premium adjustments via API calls
    • Suggest policy cancellations if risks exceed thresholds
    • Provides Risk Analysts with pre-audited cases and actionable insights

The Outcomes

  • Reduced Turnaround Time: Reduced customer support time while requiring fewer associates
  • Resource Optimization: Reduced Analysts workload significantly, while accelerating policy decisions
  • Improved Accuracy: Accuracy testing was done using running 500k reports and fine-tuned the prompts to reach 80% to 85%
  • Streamlined Processing: the new system can processes 300 inspection reports daily from over 10+ Agencies

Strategic Value Delivered

Evoke demonstrated that multimodal AI—combining LLM-driven document analysis with image verification—can autonomously handle the complexity and variability of property inspection workflows at enterprise scale. By integrating state-specific compliance knowledge and two-stage validation logic, the system achieves both speed and accuracy that manual review cannot match, proving that intelligent automation can replace human judgment in high-stakes risk decisions while simultaneously accelerating policy decision-making.

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