Objective #
Manual case preparation and requirements validation consume excessive administrative resources and delay new business processing. The New Business Good Order Check Workflow leverages agentic AI to automate the labor-intensive process of managing incoming applications, organizing pending records, and handling requirements gathering and verification, transforming this operational pain point into a competitive advantage.
AI Workflow Architecture
The system utilizes four specialized AI agents working in coordination through APIs and rules engine event integration. The process begins when a rules engine event triggers application intake, activating the agentic workflow as follows:
- Application Intake & Validation: AI Agent retrieves application data via API, validates completeness against business rules, and identifies missing mandatory information requiring correction.
- Agent & Product Authorization: AI Agent verifies advisor licensing through API, validates product specifications, and confirms authorization for the application's issue state.
- Requirements Assessment: AI Agent cross-references attached documents against master requirement lists, identifies missing mandatory requirements, and analyzes application content for activity-driven additional requirements.
- Document Processing & Analysis: AI Agent processes uploaded requirement documents, matches them to correct cases, identifies information conflicts between documents, and generates supplemental requirements based on content analysis.
- Risk Assessment & Documentation: AI Agent compiles comprehensive case analysis highlighting medical, financial, and lifestyle risk factors, documenting findings with confidence ratings for underwriting decision support.
- Task Generation & Workflow Management: AI creates tasks and alerts in PAS, with automation mode determining direct creation versus advisor approval workflows.
AI-Enabled Workflow Business Impact
- Accelerated Processing: Reduces new business case preparation time by up to 80% through automated good order checks and requirements generation.
- Enhanced Accuracy: Eliminates human error in requirements identification and ensures consistent application of business rules across all cases.
- Operational Efficiency: Frees underwriting staff to focus on complex decision-making rather than administrative validation tasks.
- Competitive Differentiation: Positions Equisoft clients as industry leaders in AI-driven insurance operations, creating significant cost advantages over manual competitors.