Corridor Platforms
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Industries · Insurance

In insurance, one wrong answer can go viral by lunch.

Claims agents, underwriting assistants, policyholder chatbots - AI decisions in insurance affect people's coverage and claims, and failures are public. Corridor gives carriers both halves: governed decisioning for pricing and underwriting, and governed GenAI for everything customer-facing.

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Payer & carrier

From claims intake to underwriting, governed.

AI is moving into the highest-stakes workflows on both sides of insurance. GenGuardX validates each agent against its own coverage, fairness, and privacy risks before launch - and keeps monitoring once it's live.

  • Claims auto-adjudication

    Clean claims adjudicated against benefits and policy, with an auditable rationale behind every decision.

  • Prior-authorization review

    Requests checked against medical policy to speed decisions - fairness tested, escalation proven safe.

  • Underwriting & risk selection

    Grounded submission summaries and traceable justifications that assist the underwriter, never replace them.

  • Denial management & appeals

    Defensible denial rationales that cite the governing policy, drafted for reviewer sign-off.

  • Policyholder & agent servicing

    Coverage and billing questions answered from policy language - not the model’s best guess.

  • FNOL & submission intake

    First-notice-of-loss and submissions extracted and structured, with the source document on record.

Both sides of the AI program, governed.

Claims & policyholder AI

GenGuardX stress-tests claims agents and chatbots against hallucination, coverage misstatements, and tone failures - with evidence risk and legal can approve.

Underwriting assistants

Document-heavy underwriting accelerated by AI - evaluated for groundedness against policy language, monitored for drift after launch.

Pricing & risk decisioning

DecisionX runs rating and eligibility strategies on governed models - versioned, explainable, and consistent with filed rates.

Regulatory defensibility

Documented audit trails and standardized evaluations that hold up with state regulators - because "the vendor said it works" is not a filing.

The insurance risk library

What every agent is tested against.

A standardized evaluation battery runs on each agent and version, producing audit-ready evidence a state regulator can walk through - because 'the vendor said it works' is not a filing.

  • Policy, benefit & coverage groundedness

    Every answer tied to the governing policy, benefit schedule, or filed rate - not inferred.

  • PHI / PII data-leakage

    Exposure of policyholder or claimant data is caught before an agent ever reaches production.

  • Hallucinated coverage & terms

    Invented coverage, limits, or terms surface in testing - not in a claim or a denial letter.

  • Unfair outcomes & bias

    Decisions evaluated across cohorts, so disparate treatment shows up in review rather than in the news.

  • Decision explainability

    Every adjudication or denial carries a rationale a regulator and a policyholder can follow.

  • Prompt injection & jailbreak

    Resistance to inputs designed to push an agent off policy - tested adversarially, tracked over versions.

Built for what matters

Where the stakes decide the standard.

The same platform discipline deployed at a Tier 1 G-SIB and a leading US health system - brought to carriers before the first public failure, not after. Explore GenGuardX at genguardx.ai.

Same platform discipline

Deployed at Tier 1 G-SIB and leading US health system.

Brought to carriers

Before the first public failure, not after.

Higher standards. Stronger outcomes.

Consistent evidence. Reduced risk. Greater trust.

Ship customer-facing AI
you can defend.

Bring your riskiest AI use case - we'll show you what approvable evidence looks like.

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