Quantified AI Risk Infrastructure
Technical telemetry that transforms AI risk from questionnaire to measurement.
The AI insurance market is projected to reach $4.8 billion by 2032. But insurers are pricing AI risk based on questionnaires, not measurements. CleanAim® provides the technical telemetry to quantify AI safety posture.
THE UNDERWRITING PROBLEM
You can't price what you can't measure.
Today's AI liability underwriting relies on information that reflects aspiration, not reality.
Today's underwriting relies on:
- Self-reported questionnaires
- Policy documents and procedures
- Point-in-time assessments
- Trust in the insured's representations
What you don't have:
- Real-time safety posture data
- Continuous monitoring of AI behavior
- Quantified metrics for human oversight effectiveness
- Evidence of what actually happens
The Measurement Gap
| What Questionnaires Capture | What Actually Matters |
|---|---|
| "Do you have a human review process?" | How often do humans actually override AI? |
| "Do you log AI decisions?" | What's your capture rate? 62% or 99.8%? |
| "Do you monitor for bias?" | Is feedback loop amplification occurring? |
| "Do you have incident response?" | How fast can you stop all AI decisions? |
CleanAim® bridges this gap with technical telemetry that measures what actually happens.
UNDERWRITING INTELLIGENCE
Metrics you can underwrite
Safety Posture Telemetry
Real-time metrics on AI safety infrastructure effectiveness.
| Metric | What It Measures | Risk Relevance |
|---|---|---|
| Capture Rate | % of AI decisions with complete audit trail | Evidence quality in claims |
| Human Override Rate | % of decisions where humans override AI | Automation dependence risk |
| Engagement Score | Are reviewers rubber-stamping? | Human oversight effectiveness |
| Response Time | How fast can AI be stopped? | Incident containment capability |
| Transfer Readiness | Can they switch providers? | Vendor concentration risk |
Continuous Monitoring
Ongoing safety posture assessment, not point-in-time snapshots.
- Real-time dashboard of insured's AI safety posture
- Alerts when metrics degrade below thresholds
- Trend analysis for policy renewal decisions
- Early warning of emerging risk
Claims Investigation Support
When claims arise, get the evidence you need.
- Deterministic replay of specific AI decisions
- Complete audit trail for the claim period
- Expert analysis of what went wrong
- Evidence packaging for legal proceedings
Premium Optimization
Tie premiums to measured safety posture.
- Risk scoring based on actual telemetry
- Premium adjustment triggers tied to metrics
- Incentive structure for safety investment
- Differentiation from competitors using questionnaires
PARTNERSHIP MODELS
Flexible partnership options
Underwriting Data Feed
Access CleanAim® telemetry for your underwriting decisions.
- Safety Posture API with real-time access
- Pre-calculated risk scores based on telemetry
- Anonymous benchmarking against similar organizations
- Integration with your underwriting systems
Joint Product Development
Co-develop AI liability products backed by CleanAim® infrastructure.
- "AI Safety Certified" coverage for monitored organizations
- Real-time risk adjustment based on telemetry
- Claims handling supported by deterministic replay
- Market differentiation for both parties
Claims Investigation Services
Engage CleanAim® for claims investigation support.
- Complete audit trail evidence collection
- Decision replay for specific AI decisions at issue
- Technical analysis of what went wrong
- Evidence packaging for litigation support
FOR UNDERWRITERS
The pricing problem
AI liability is difficult to price because:
- Limited loss history: AI claims are emerging, not mature
- Self-reported data: Questionnaires reflect aspiration, not reality
- Rapid change: AI capabilities evolve faster than risk models
- Complexity: Understanding AI risk requires technical expertise
How telemetry changes underwriting
| Traditional Approach | Telemetry-Based Approach |
|---|---|
| Annual questionnaire | Continuous monitoring |
| Self-reported | Independently measured |
| Binary (yes/no) | Quantified (0.0-1.0) |
| Point-in-time | Real-time |
| Trust-based | Evidence-based |
Risk factors you can measure
| Factor | Metric | Low Risk | High Risk |
|---|---|---|---|
| Audit Coverage | Capture rate | >95% | <70% |
| Human Oversight | Engagement score | >0.8 | <0.3 |
| Override Frequency | Override rate | 5-15% | 0% or >30% |
| Response Capability | Stop time | <5 sec | >60 sec |
| Vendor Concentration | Provider count | 2+ | 1 |
THE AI INSURANCE MARKET
Market context
The competitive opportunity
- Price more accurately (avoid adverse selection)
- Offer better rates to safer organizations (attract better risks)
- Reduce claims costs (monitoring prevents incidents)
- Differentiate from competitors (unique capability)
TECHNICAL SPECIFICATIONS
Telemetry specifications
Telemetry Data
- Capture RateReal-time
- Engagement ScorePer-decision
- Override RateDaily aggregate
- Response TimePer-test
- Provider DistributionReal-time
Integration Options
- REST APIReal-time integration
- WebhookEvent-driven updates
- Batch ExportPeriodic data pull
- DashboardManual review
Security
- Data access controlled by insured consent
- Aggregate/anonymized options for benchmarking
- SOC 2 compliant infrastructure
- GDPR-compliant data handling
PROVEN INFRASTRUCTURE
Built on validated architecture
CleanAim's insurance telemetry capabilities are built on the same architecture that powers our core platform—proven across 1.1 million lines of production code.
Capture rate
Deterministic replay
Cross-provider stop
Transfer efficiency
Transform AI risk from questionnaire to measurement.
Discuss partnership models for underwriting data, joint product development, or claims investigation support.
Discuss Insurance Partnership →