TruAI Underwriting is designed to support both Life and Health insurance underwriting. It uniquely handles both Financial (Non-Medical) and Medical underwriting processes in a single, unified platform. This allows for a holistic risk assessment, covering everything from income verification and occupation risk to complex medical history analysis.

TruAI Underwriting is built with API-first integration architecture, enabling connection to leading Policy Administration Systems (PAS), CRM platforms, and document management solutions. Datamatics provides pre-built connectors for major insurance platforms and an API layer for custom integrations. Implementation typically follows a phased approach, beginning with a parallel-run pilot before full production deployment.

The solution augments an underwriter's judgment by analyzing complexity across both financial and medical dimensions. For Financial Underwriting, it evaluates income, occupation risk, and potential fraud signals. For Medical Underwriting, it analyzes medical histories, lab values, and clinical risk factors. By autonomously extracting key parameters and flagging anomalies across this wide range of information, it provides underwriters with a consolidated digital case sheet, allowing them to focus on high-value risk judgment rather than manual data work.

TruAI Underwriting is designed with compliance-by-design principles. All decisions carry a full audit trail, documenting the data inputs, guideline version applied, and reasoning path for every case. The platform supports configurable access controls, data residency requirements, and is architected to align with GDPR, FCA, IRDAI, and other relevant regulatory frameworks. Underwriting guidelines are version-controlled, with change management workflows governing updates. 

 

Yes. TruAI Underwriting includes a Guideline Management module that enables your underwriting team to upload, structure, and maintain proprietary underwriting guidelines, including medical impairment manuals, loadings, exclusions, and acceptance criteria. These guidelines inform the AI's risk evaluation and decision support recommendations. Changes can be deployed immediately across all active workflows, with version control ensuring consistency and rollback capability.