Scale GenAI 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 bias, 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. Fraud AI that under-flags creates financial exposure. Both failures happen in the same model. Test against the manipulation patterns adversaries actually use.
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 synthetic data, so when we test your underwriting models, your claims agents, and your policyholder-facing AI, we're testing them against the manipulation patterns, fraud tactics, and coverage evasion attempts we've actually seen. Not 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.
SEC & FINRA Record Keeping / Supervision
Upload your supervisory and recordkeeping policies directly into WonderSuite and enforce them across every client-facing AI interaction in real time. Give SEC and FINRA examiners audit trails that reflect your institution's specific compliance standards, not generic platform defaults.
Basel III Model Risk Management
Maintain a validated, audit-ready model inventory for every AI system your institution runs. Upload your risk appetite framework directly into WonderSuite and stress-test models against it so your operational resilience documentation holds up when capital adequacy is on the line.
SR 11-7 | Supervisory Letter 11-7
Produce examination-ready model validation evidence, demonstrate continuous monitoring across every model update, and give your audit committee a governance trail built to SR 11-7 requirements — without any additional configuration.
Your Frameworks and Policies
Upload any internal or regulatory policy directly into WonderSuite and enforce it across your full AI lifecycle, giving your institution 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 HIPAA, 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
117+ languages with native speaker-level nuance. Multilingual gaps are one of the most common failure points in global insurance AI. We close them across every channel.
Questions Insurance Provider 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 multi-step manipulation, adversarial approval scenarios, 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 GenAI 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 — real prompts, real users, real edge cases that no red-team anticipated. WonderCheck runs continuous 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