Driving underwriting efficiency and insight with AI automation at Two Sigma Insurance Quantified
Manual submissions and fragmented risk data slowed growth across the platform, limiting accuracy and scale.
About
The client is a private equity-backed Insurtech company providing a SaaS platform for commercial property and casualty carriers and MGAs. Their system supports high-volume submissions, agent workflows, and portfolio performance evaluation.
As the platform expanded, the reliance on manual document handling, disparate data sources, and legacy processes created material friction across underwriting, application intake, and risk analysis. These gaps reduced speed, accuracy, and visibility for insurers seeking consistent operational outcomes.
The organization sought a technology partner that could refine workflows, introduce AI-driven analysis, and create a scalable foundation that supports both growth and deeper insights across insurance operations. Lumenalta collaborated closely with their team to deliver a solution designed for measurable performance gains and improved agent productivity.
Implemented
AI portfolio risk analysis
95%
improvement in performance and load time
Automated
policy application submission
Challenge
Meeting growing submission volume required more precise document intake, faster processing, and clearer portfolio visibility. Legacy tools created delays and constrained data quality, leaving underwriters without unified insight across documents, third-party sources, and policy history.
Key obstacles included:
- Manual, error-prone workflows for intake and submissions
- Difficulty synchronizing generated documents with agency management software
- Limited ability to extract structured data for analytics and reporting
- Fragmented third-party risk information lacking unified integration points
- Slow performance and restricted load capacity, reducing system responsiveness
- Inconsistent visibility into portfolio-level risk and submission trends
These issues made it harder for insurers and MGAs to maintain underwriting quality while scaling operations, prompting the need for a modernized, automated solution that improved both accuracy and speed.
Solution
Lumenalta enhanced the client’s SaaS platform with AI, ML, and advanced data modeling to strengthen submission workflows and improve portfolio analysis. The approach centered on removing manual friction, refining data quality, and improving day-to-day efficiency for agents and underwriters.
A modernized agent-facing portal introduced clear, streamlined policy application submission steps, reducing manual inputs. The workflow now supports automated routing, data triage, and improved document ingestion across structured and unstructured inputs.
A centralized data lake unified documents, internal policy records, and external datasets, supporting AI-enabled evaluation of both individual policy risk and overall portfolio performance. Integrated sources included NHTSA, FCSA, and OFAC to provide additional context for assessment.
The re-architected system now delivers faster load times, improved scalability, and a refined UX that supports more accurate, consistent underwriting decisions across insurers and MGAs.
Results
The solution provided insurers and MGAs with a more efficient, reliable, and insight-rich workflow. Performance gains and simplified processing created immediate value for underwriting teams.
Key outcomes included:
- 95% improvement in platform performance and load time
- AI-enabled portfolio risk analysis for deeper visibility across submissions
- Automated policy application submission with clearer routing and triage
- Integrated third-party risk data to improve assessment accuracy
- Improved agent workflows through modernized UX and streamlined processes
- Centralized data lake supporting reliable document ingestion and analysis
These improvements strengthened operational performance, reduced manual errors, and provided a scalable technical foundation for continued product evolution and premium growth.
See where automation and unified data could remove friction in your organization.
