Underwriting decisions in minutes, not days. Data does the legwork.
Custom underwriting platforms built on Azure — automated submission intake, multi-source data enrichment, configurable risk scoring, and rating engine integration, designed around your underwriting workflows and state regulatory requirements.
Submission Intake & Triage
Automated submission intake with document extraction, clearance checking against in-force book, and smart routing based on line of business, risk complexity, and underwriter authority level.
Data Enrichment Engine
Automated enrichment from Verisk/ISO, LexisNexis, credit bureaus, MVR, CLUE, and configurable third-party sources. Every submission arrives at the underwriter pre-populated with the data they need.
Risk Scoring & Assessment
Configurable scoring models combining rules-based evaluation with ML-assisted risk signals. Every score is fully explainable — no black-box models. Designed to pass state DOI scrutiny.
Underwriter Workbench
Unified workspace showing the complete risk profile: enrichment data, scoring rationale, loss history, comparable risks, and pricing recommendations — all in a single view designed for fast, confident decisions.
Quoting & Pricing Integration
Real-time rating engine integration with multi-line quoting, coverage configuration, and pricing comparison. Underwriters generate quotes without leaving the platform.
Audit Trail & Compliance Reporting
Complete decision audit trail capturing every data source, rule evaluation, and underwriter action. Rate filing documentation and state-specific regulatory reporting built in.
Complete Risk Picture, One Screen
Underwriters see enriched data, risk scores, and pricing recommendations in a unified workbench — no more toggling between systems to piece together the picture.
Every Data Source, Automatically Enriched
Bureau data, credit scores, loss history, and third-party intelligence flow into every submission automatically — your underwriters review, not research.
Regulatory-Compliant and Audit-Ready by Design
Explainable Decisions
Every underwriting decision backed by a clear, auditable rules trail. No black-box models — regulators can trace every score to its inputs.
Rate Filing Ready
System generates documentation for SERFF rate filing, including variable importance, actuarial justification summaries, and model validation reports.
Data Security
AES-256 encryption, role-based access, MFA, and complete audit logging. Applicant PII protected end-to-end with Azure Key Vault.
Six data sources. One enriched profile. Minutes, not days.
A submission enters the pipeline, gets automatically enriched from six sources simultaneously, flows through your configurable rules and scoring models, and arrives at the underwriter's workbench as a complete, scored risk profile.
Compliance by design
Explainable decision logic
Every underwriting decision produces a full audit trail showing which rules, data points, and model factors drove the outcome. Designed for state DOI review and fair lending compliance.
Rate filing documentation
System generates SERFF-ready documentation including variable importance rankings, actuarial justification summaries, and model validation reports for each line of business.
Disparate impact testing
Built-in testing for rating variables and model outputs against protected classes. Configurable per state requirements and NAIC guidance on AI/ML in insurance.
Data encryption & key management
AES-256 encryption at rest, TLS 1.3 in transit. Applicant PII encrypted with keys managed through Azure Key Vault with automated rotation policies.
Identity & access control
Azure AD B2C with enforced MFA. Role-based access distinguishes underwriters, managers, actuaries, and administrators with least-privilege defaults across every module.
Comprehensive audit logging
Every underwriting decision, data enrichment request, price calculation, and user action logged with timestamp, actor, inputs, and outcome. Logs retained per regulatory requirements.
Audit-ready on day one
Every module is architected to produce explainable, auditable underwriting decisions that meet state DOI requirements and NAIC AI/ML governance guidance. We provide the documentation, audit trails, and compliance controls needed for regulatory review.
Partner agreements in place
Faster Speed-to-Quote
Automated enrichment and scoring eliminate the manual data gathering that consumes most of the submission-to-quote cycle. Underwriters spend their time on decisions, not research.
Improved Risk Selection
Better data coverage and consistent scoring across the book means fewer surprises at renewal. Configurable appetite rules enforce discipline without slowing down experienced underwriters.
Higher Underwriter Productivity
A unified workbench with pre-enriched submissions lets underwriters handle higher submission volumes without proportional headcount growth — scaling your team through tooling, not hiring.
Full Regulatory Compliance
Explainable models, complete audit trails, and rate filing documentation satisfy state DOI requirements. No black-box algorithms — every decision can be traced to its inputs and rules.
Scalable Submission Capacity
Azure-native architecture scales horizontally to handle submission volume spikes — renewal seasons, new program launches, and M&A book integrations — without platform degradation.
Integrations
Guidewire PolicyCenter
- Bi-directional policy data sync
- Submission and quote lifecycle
- Bind and issuance workflows
Duck Creek Policy
- Policy lifecycle events
- Rating engine integration
- Underwriting data exchange
Verisk / ISO
- Loss cost data and classifications
- Industry risk scoring
- Catastrophe model data
LexisNexis Risk Solutions
- Claims history and risk attributes
- Identity verification
- Property and vehicle data
Earnix
- Real-time rating and pricing
- What-if scenario modeling
- Rate optimization analytics
SERFF
- Rate filing documentation
- Form filing submissions
- State-specific regulatory exports
Our Implementation Process
Discovery & Workflow Analysis
We map your current underwriting workflows end-to-end, audit existing data sources and rating engines, identify state regulatory requirements by line of business, and define the underwriter role and authority matrix.
Architecture & Rules Engine Design
Platform architecture designed around your workflow maps — data enrichment pipelines, scoring model framework, rating engine connectivity, and the configurable rules engine for appetite and authority management.
Core Platform Development
Iterative development with bi-weekly demos to underwriting stakeholders. Submission intake, enrichment engine, scoring, and workbench built in React/Next.js and .NET with domain-driven design mirroring insurance business logic.
Integration & Compliance Testing
Connect to rating engines, bureau data sources, policy admin, and third-party APIs. Conduct end-to-end testing, penetration testing, decision explainability validation, and fair lending compliance review.
Deployment, Training & Support
Phased rollout by line of business with role-based training for underwriters, managers, and actuaries. Dedicated hypercare period with engineering support and adoption monitoring.
Frequently Asked Questions
Can this integrate with our existing policy admin and rating systems?
Yes, and integration architecture is designed from discovery onward. We build connectivity with Guidewire, Duck Creek, Majesco, and proprietary policy admin systems using REST APIs, SOAP services, and direct database connectors. Rating engines like Earnix and Guidewire Rating Management connect via real-time APIs so underwriters generate quotes without leaving the workbench. We build an integration middleware layer that decouples the underwriting platform from your core systems, so either side can be upgraded independently.
How do you handle state-specific regulatory requirements?
The platform is built with configurable compliance controls from the first sprint. Rules, scoring models, and pricing parameters are configurable per state and line of business. The system generates SERFF-ready documentation for rate filings, and every underwriting decision produces a full audit trail showing decision factors, data sources, and scoring rationale — designed to satisfy state DOI review. We work with your compliance and actuarial teams to map requirements before development begins.
How does the risk scoring work, and can regulators understand it?
We use a hybrid approach: configurable rules-based evaluation combined with ML-assisted risk signals where appropriate. The key principle is full explainability — every score can be traced to specific data inputs, rules, and model factors. No black-box algorithms. The system generates model documentation suitable for state DOI review, including variable importance rankings and disparate impact testing results. Your actuaries can configure and validate every scoring model before production deployment.
What does implementation typically cost and how long does it take?
A custom underwriting platform with core modules typically takes 20–32 weeks from kickoff to production, depending on the number of lines of business, integration complexity, and regulatory requirements. Investment typically ranges from $250,000 to $800,000 for a full custom build. We offer phased delivery — the highest-priority line of business goes live first, allowing your underwriters to provide feedback before the full platform is complete.
Can we start with one line of business and expand later?
The platform is designed for exactly that. Our modular architecture means you can launch with a single line — personal auto, commercial property, workers' comp — and add lines incrementally. Each line shares the same scoring framework, enrichment engine, and audit infrastructure, so expansion is configuration, not a rebuild. New lines typically take 4–8 weeks to configure and test once the core platform is live.
How does the platform handle submission volume spikes?
The platform runs on Azure with horizontal auto-scaling, so compute capacity expands automatically during volume peaks — renewal seasons, new program launches, or post-M&A book integrations. We design the data tier with read replicas and caching for query-heavy enrichment operations, and the enrichment pipeline processes data source requests asynchronously so no single slow API blocks the workflow. Infrastructure is provisioned as code via Terraform for environment replication.
Ready to Modernize Your Underwriting Operations?
Book a free 30-minute discovery call. We will review your current underwriting workflows, rating engine landscape, and integration requirements, then give you a realistic assessment of what a custom underwriting platform would cost and deliver for your business.