Scale AI Without Compromising Coverage Accuracy or Regulatory Controls.
Gain lifecycle-wide visibility into how AI risks evolve across your insurance systems with audit-ready evidence, policy-aligned testing, and governance your board, regulators, and state insurance commissioners can scrutinize. Surface what matters before adversaries or examiners do.
AI Errors in Insurance Land on People
Who Are Already in Crisis.
When someone files a claim, something has already gone wrong. That's the moment your AI has to get it right.
Underwriting & Pricing Models
A discriminatory pattern that compounds across thousands of policies is harder to remediate than it is to prevent. Stress-test underwriting AI against parity failures and adversarial inputs before they reach a pricing decision.
Customer-Facing & Distribution AI
Enforce accuracy and compliance boundaries across every policyholder interaction in real time. An AI that misrepresents coverage or product terms creates UTPA and IDD exposure before a human reviews it.
Agentic Claims Workflows
Claims agents don't just answer, they decide. Test them against prompt injection, multi-step manipulation, and adversarial approval scenarios before they touch a live claim. Then monitor continuously as models update and threat patterns shift.
Fraud Detection & Financial Crime
Fraud AI that over-flags creates discrimination exposure, while fraud AI that under-flags creates financial exposure in the same model. Test against the manipulation patterns adversaries actually use and set adjustable thresholds in production.
We've Seen the Worst so Your Customers Don't Have to.
Rabbit Hole is the adversarial engine behind WonderSuite. Built on a decade of global trust and safety research and billions of real-world deceptive and manipulative samples, not only synthetic data. So, when you test your underwriting models, your claims agents, and your policyholder-facing AI, you're testing them against the patterns and fraud tactics we've actually seen. Not just the ones someone imagined in a lab.
One Platform For Every Stage of the AI Lifecycle
Built For Industry Regulations and Frameworks.
Health Insurance Portability and Accountability Act
Upload your HIPAA compliance policies directly into WonderSuite and test your AI systems against them before deployment. Monitor for PHI leakage, cross-member data exposure, and unauthorized disclosure in production so your obligations are met as models evolve, not just when they launch.
NAIC
The National Association of Insurance Commissioners (NAIC) has issued model bulletins directing insurers to govern AI used in underwriting and claims decisions. Insurers are expected to demonstrate that models are fair, transparent, and regularly validated. WonderSuite provides the testing, monitoring, and audit evidence that supports those expectations across every model in production.
No Surprises Act & MHPAEA
The No Surprises Act and Mental Health Parity and Addiction Equity Act (MHPAEA) both require insurers to apply consistent, defensible standards in billing, coverage determinations, and prior authorization. AI used in those workflows needs to produce decisions that hold up to regulatory scrutiny. WonderBuild validates models before deployment. WonderCheck monitors for drift as standards and models evolve.
EU AI Act & ISO/IEC 42001
The EU AI Act classifies AI used in underwriting, claims, and fraud detection as high-risk, requiring conformity assessment, ongoing monitoring, and technical documentation. ISO/IEC 42001 provides the management framework for meeting those obligations consistently. WonderSuite supports both with pre-deployment testing, runtime oversight, and the periodic evaluation records regulators and auditors expect.
Your Frameworks and Policies
Easily create custom controls that map to any internal or regulatory policies and enforce them across your full AI lifecycle, giving you the flexibility to maintain compliance with virtually any framework or regulation.
Why Insurance Providers Choose Alice
Insurance AI carries obligations generic safety tools weren't built to meet. WonderSuite gives your institution the controls, evidence, and lifecycle coverage that regulators, examiners, and state commissioners actually expect.
PHI & Member Data Protection
Detect and block cross-member PHI leakage, prompt injection attempts, and unauthorized data disclosure in real time before sensitive information leaves your systems or reaches your models.
Coverage Accuracy at the Boundary
Prevent hallucinated policy terms, misquoted deductibles, and coverage misrepresentations across every policyholder interaction. An AI that gets it wrong at the boundary creates liability before a human sees it.
Parity & Fairness Enforcement
Identify disparate impact in underwriting and adjudication decisions before it compounds. A pattern that's invisible at launch becomes a fair lending finding at scale.
Flexible Deployment
Meet regulatory, data residency, and security requirements without slowing innovation. Deploy on-premises or in the cloud, whichever your institution and regulators require.
Pre-Deployment Validation
Conduct structured red teaming and policy testing before launch, with ongoing runtime enforcement in production so governance doesn't stop at go-live.
Multilingual Coverage
120+ languages with native speaker-level nuance. Multilingual gaps are one of the most common failure points in global insurance AI. Close them across every channel.
Questions Insurance Teams Ask Us
Our claims AI denies and approves in real time. How does WonderSuite handle that kind of consequential agentic decision-making?
Agentic claims systems introduce risks that static guardrails weren't built for, such as multi-step manipulation, adversarial approval scenarios, and context drift across conversation turns. WonderBuild tests them against those failure modes before they touch a live claim. WonderCheck monitors continuously in production so regressions surface in a report, not an examination finding.
We operate under HIPAA. How does Alice handle PHI that flows through our AI systems?
WonderFence detects and blocks PHI leakage in real time including cross-member exposure, one of the most serious failure modes in insurance AI. Audit trails are aligned to HIPAA and state data residency requirements. This is treated as a first-class threat, not an edge case to configure around.
Our underwriting model passed pre-deployment testing. What catches the bias that only emerges at scale in production?
Pre-deployment testing catches what you can simulate. Production is different, presenting real prompts, real users, and real edge cases that no red-team anticipated. WonderCheck runs ongoing adversarial evaluation against your live underwriting AI, surfacing discriminatory drift before it compounds across thousands of decisions.
Our AI operates across multiple regions and languages. Can WonderSuite handle that?
WonderSuite covers 120+ languages with native speaker-level nuance, including regional and cultural context. Misclassification from multilingual gaps is one of the most common failure points in global financial AI deployments. WonderSuite is built to close them.
Implement Real-Time AI Governance.
See how WonderSuite brings together pre-deployment stress testing, real-time PHI protection, and continuous production evaluation, built for the obligations insurance AI actually carries.
See WonderSuite in Action