Regulation Retrieval
Query across SOX, GDPR, HIPAA, and custom internal regulations simultaneously. Get precise answers grounded in your actual policy documents.
Regulatory Compliance
AI compliance knowledge hubCompliance Answers Grounded in Your Actual Documentation
Inteleto answers compliance questions from your own regulations, controls and internal documentation, with a citation on every claim and a complete record of what evidence produced the answer. Nothing is asserted that the retrieved documents do not support.
Retrieve accurate compliance procedures and regulatory answers across thousands of documents without hallucinations. Built for legal, compliance, and risk teams in regulated industries.
The compliance retrieval stack built for auditors
Full Audit Trail
Every query, answer, and citation is logged with timestamp and user. Produce complete evidence trails for regulators and internal audits on demand.
Source Confidence Score
Every answer includes a confidence score based on document relevance, recency, and authority. Know when to verify with a compliance officer.
Clause Extraction
Automatically extract relevant clauses, obligations, and exceptions from regulatory documents. Surface only the text that answers the question.
Evidence Transparency
Expandable "evidence used" sections let auditors see every chunk of text that informed the AI answer, with document metadata and retrieval scores.
Compliance Dashboard
Monitor query volumes, unresolved compliance questions, and document coverage gaps from a single dashboard designed for compliance officers.
Frequently asked questions
- Can we use the answers as audit evidence?
- Every run records the question, the documents in scope, the exact passages retrieved, the model call, the checks that ran, and the final cited answer. That record is the audit trail — it is not reconstructed from logs after the fact.
- Will it claim something is compliant when it is not covered?
- No. Claims about the absence of a rule are blocked on retrieval tasks, because retrieval returns a ranked subset rather than the whole corpus. The agent can state what your documents say; it cannot state what they fail to say.
- How do we keep it current as regulations change?
- Documents are bitemporal — you can ask what the answer is today, or what it would have been on a given date. Runs pin the document versions they used, so a past answer stays reproducible after the underlying regulation is updated.
Problems this solves
- AI Audit Trail for Agent DecisionsProve what your AI decided two years ago, with the evidence it decided on.
- Policy Change Sweeps Across Past CasesThe rule changed. Which of your forty thousand closed cases are now wrong?
- Explainable AI DecisionsThe person the decision is about has a right to know why.
