PathReader turns your existing policy documents into deterministic governance rules. Every agent action is checked before it executes. Every decision cites the exact rule, source quote, and policy version that produced it.
Probabilistic filters catch obvious violations. They don't verify whether an agent included a required disclosure, used the correct reason code, or obtained the right approval. When a regulator asks why your agent made a decision, "the model thought it was fine" is not an answer.
Regulators require a reproducible, rule-referenced decision. The same input must produce the same decision every time, with a citation to the exact policy rule. PathReader provides that. Probabilistic filters cannot.
Upload a document, review what PathReader surfaces, approve the rules. Your agents are governed.
PDFs, compliance handbooks, internal guidelines. PathReader surfaces rule candidates from your document, with the source quote and page number for every rule.
A human reviews each candidate rule before it goes live. Approve, edit, or reject. Nothing governs without sign-off.
Approved rules are published into a versioned, auditable policy set. Roll back or retire policies at any time.
Before an agent sends a message, submits a claim, or executes a transaction, a single API call returns a deterministic decision: allow, flag, or block. Every response includes a full decision trace with clause-level citation.
Observability platforms tell you why your agent decided after it happened. PathReader evaluates the proposed action before it executes and returns an audit-ready decision at the moment of action.
API gateways manage what your agent is permitted to call. They cannot evaluate whether the content of a proposed action complies with the specific rules in your own policy documents.
PathReader returns a decision. Your agent code determines what happens next: log it, route it for human review, or block the action. From audit-only to mandatory pre-execution gate.
Your agent sends an action request. PathReader checks it against your approved rules and returns a cited decision before anything executes.
Notice blocked before delivery. Generic reason violates CFPB individualized disclosure requirement.
Denial held for human review. Missing appeal rights disclosure required by NAIC clause 4.3.
Authorization held pending clinician review. CMS requires human sign-off on all PA decisions per clause 2.4.
Contract blocked before delivery. Liability cap $10,000 is below the $500,000 floor required by clause 1.7.
Grid adjustment blocked. 38% reduction exceeds the 25% autonomous limit under NERC CIP clause 5.1.
Assignment blocked. 9-hour rest period is below the FAA 10-hour minimum under clause 1.3.
Regulators across insurance, financial services, and healthcare are converging on the same requirement: AI agents taking consequential actions must produce a documented, traceable audit trail tied to your own policies.
Insurers must maintain a written AI program with documented governance, validation, and audit rights for every AI system in claims, underwriting, and customer communications.
Creditors must provide specific, individualized reasons for AI-driven adverse actions. Examiners require evidence of testing and validation.
AI systems interacting with people must disclose themselves as AI. Governance documentation required for all systems in scope.
Insurance, financial services, healthcare, and legal AI must automatically log every decision in enough detail to reconstruct how it was reached, traceable to the governing policy (Article 12). Penalties up to 15M EUR or 3% of global revenue.
PathReader is available to teams in regulated industries. We review every request and prioritize organizations ready to deploy.
We respond within 2 business days.