Platform Transparency
Every conclusion is citable. Every calculation is auditable. Every AI output shows where it came from.
"We don't ask you to trust the AI. We show you exactly what the AI found, where it found it, and what the statute says about it. Trust follows from transparency."
The Glass Box Standard
Every Output Cites Its Source
AI responses include document name, page number, and extracted text. Examiners always know where a fact came from — not just what the AI said.
Every Calculation Shows Its Formula
TD rate: (AWE × 2/3) per LC 4653. Penalty: 10% of overdue payment per LC 4650(c). The formula, the inputs, and the statutory basis are always visible.
Every Deadline Cites Its Statute
Not "14-day deadline" — "LC 4650 requires first TD payment within 14 days of the date of temporary disability. Failure triggers an automatic 10% penalty."
Every AI Decision Is Auditable
60+ audit event types. Every document upload, AI response, deadline trigger, and user action is logged with timestamp, user ID, and action type. Retained for 7 years.
Every Classification Shows Confidence
Document AI classifications include confidence scores. Low-confidence classifications surface for human review — never silently auto-accepted.
Every Regulatory Rule Is Explained
57 always-present education entries explain why each rule exists and what happens when it's violated. The law is not a black box to users of AdjudiCLAIMS.
The Immutable Audit Log
Every action in AdjudiCLAIMS is recorded. Every record is immutable. Nothing can be deleted or modified. Retained for 7 years per California workers' compensation statute.
Plus 44+ additional audit event types. All events include: timestamp, user ID, session ID, IP, action, resource ID, before/after state, and result.
What We Explicitly Do Not Do
Transparency is also about being clear about the boundaries of the system.
AdjudiCLAIMS cannot and does not provide legal advice, legal analysis, or legal conclusions to non-attorney users.
The AI surfaces information. The examiner makes all substantive decisions. The system is designed to support — not replace — human judgment.
All AI outputs include confidence indicators. Low-confidence outputs are flagged for human review rather than presented as certain facts.
PHI is never logged. The audit log records document IDs and action types — not medical content, diagnoses, or personal health information.
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We publish our AI explainability standard and audit methodology to prospective customers.
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