RiteCharlee
Insurance Underwriting Intelligence Platform
Built on insights from 60M+ real-world claims, RiteCharlee gives underwriting, actuarial, risk managers, operations managers, and product teams the riskintelligence they need to select the right risks, price with confidence, proactively reduce and control losses using risk benchmarks, and design offerings thatperform in market.
Feature Selection
Sharper Selection
Score new submissions and renewals against real-world loss patterns by segment, peril, and venue.
Pricing Signals
Surface severity and frequency drivers to inform rate, limits, deductibles, and attachment points.
Product Design
Identify coverage gaps and feature opportunities from claim outcome trends and exposures.
Portfolio Foresight
Spot emerging risks and regional shifts early to rebalance appetite and growth strategy.
Risk Benchmarks
Leverage segmented risk benchmarks and compare with operations data to understand, control, and prevent losses with clear mitigation strategies.
How RiteCharlee Works
1) Claim Grounded Signals
Domain-tuned NLP and pattern mining across 60M+ claims extract causal drivers of loss: injury and damage types, treatment pathways, venue effects, party roles, entity behavior, and time-to-event milestones.
2) Risk and Product Scoring
Submission-level and segment-level scores for severity, litigation likelihood, and loss amplification signals, each with explainable factors and confidence bands.
3) Action in Workflow
Scores and explanations are delivered via APIs, underwriting workbench widgets, dashboards, and Charlee AI Agents for appetite checks and what-if exploration.
Integrations: Native APIs, underwriting workbenches, data lakes, policy admin/rating, and claims systems (Guidewire, Duck Creek, Majesco, and more).
High-Impact Use Cases
Operational Risk Detection
Integrate real-time intelligence with core and operational systems to detect exposures and alert operators before liability events escalate.
Incident Severity Prediction
Classify on-site incidents by predicted medical cost, litigation risk, and reputational exposure to prioritize response and documentation.
Workforce Safety Insights
Correlate payroll, shift patterns, and training records with injury trends to identify high-risk roles, time windows, and procedural gaps.
Policy and Compliance Optimization
Cross-reference SOPs and policy terms to flag non-compliance risks that can increase exposure or void coverage.
Premium and Claims Optimization
Feed aggregated operational and behavioral data into underwriting models to enable dynamic premiums and reward proactive prevention.
Benchmarking and Peer Comparisons
Benchmark venue risk signals against anonymized peers across restaurants, bars, cafes, and hotels for stronger negotiations and prevention.
Portfolio Intelligence
Use aggregated signals across operators to identify emerging trends and adjust appetite and pricing across hospitality classes.
Business Value
- Reduce loss ratio volatility with earlier detection of severity and litigation drivers.
- Improve hit ratio on in-appetite risks while curbing adverse selection.
- Accelerate time to underwrite through triage and explainable scoring.
- Inform rate filings and claim-product updates with grounded evidence.
15-30%
Fewer high-severity surprises in target segments
5-10 pts
Improvement in risk-adjusted hit ratio
40% faster
Dashboards ready with rapid time-to-value
Weeks -> Days
Signal delivery for new initiatives
Security, Privacy and Ethical AI
- Data residency and access controls aligned to carrier policies.
- PII handling, encryption in transit/at rest, and full audit trails.
- Explainable factors on every score with bias and drift monitoring across segments.
- Governance aligned to Charlee ethical AI principles.
