Insurance Submission System Demo

Intake and clear submissions faster

AI-powered Triage

AI improves insurance submission triage by automating document intake, extracting key data from unstructured documents, applying underwriting guidelines consistently, and prioritizing submissions based on risk appetite. The most effective solutions, like SortSpoke, maintain human oversight to ensure 100% data quality while processing submissions 5X faster than manual methods.

Benefits:

• Eliminates manual document intake and organization.
• Reduces errors and omissions.
• Human-in-the-loop (HITL) reduces operational risk.

Triage to pinpoint high-value submissions

Intelligent Prioritization with TriageAI

AI-powered submission triage transforms traditional manual processes by automating document classification and data extraction. While underwriters typically spend 40-60% of their time on data entry, SortSpoke's AI extracts key information from complex documents without templates. The system identifies quality issues immediately, applies consistent rules, and learns from underwriter feedback in real-time—all while maintaining human oversight for accuracy and compliance.

Benefits:

• Reduces document processing time by 70-80%, enabling underwriters to handle 5X more submissions
• Eliminates template limitations, handling any document format, including unstructured emails and supplemental forms
• Continuously improves through machine learning, becoming more accurate with each processed submission

Any document, any data

SortSpoke effectively triages virtually any insurance submission document, including ACORD forms, loss runs, SOVs, supplemental applications, engineering reports, financial statements, and unstructured emails. The platform handles complex, variable-format documents that challenge traditional OCR systems. It extracts key data points like policy information, exposure details, loss history, property values, and risk-specific factors.

Benefits:

• Processes diverse document types without template limitations or format constraints.
• Extracts critical underwriting data points with high accuracy, even from unstructured sources
• Easily adapts to new document types without requiring extensive configuration or IT support

Subject matter expertise is key

Human-in-the-loop

SortSpoke's human-in-the-loop AI approach allows underwriters to remain central to the triage process, shifting from manual data entry to higher-value activities.

They review and approve AI-extracted data, ensuring accuracy while providing feedback that improves the AI's performance.

This collaborative approach maintains underwriting control and judgment while eliminating repetitive tasks, allowing underwriters to focus on complex risk evaluation and relationship management.

Benefits:

• Manages the time spend for an underwriter to spend less times  data processor and more time as a strategic risk evaluator
• Ensures 100% data accuracy through human validation while maintaining efficiency gains
• Creates continuous improvement cycle as AI learns from expert underwriter feedback
  Retry

Powered by business users

SortSpoke's submission triage solution integrates seamlessly with existing underwriting workflows through flexible APIs and pre-built connectors. The platform pulls submissions from email inboxes or document systems and pushes extracted data to policy administration systems or rating engines.

Implementation takes days rather than months, requiring minimal IT resources. This enhances current processes rather than replacing them, maintaining business continuity while immediately improving efficiency.

Benefits:

• Rapid deployment with minimal IT involvement, delivering ROI within days not months
• Seamless integration with existing workflows and systems through flexible APIs
• Business-user configuration, allowing quick adjustments to triage rules without technical support