AI Due Diligence and RAG for Compliance Documents
How retrieval-augmented generation (RAG) automates loan-tape and legal-document validation for institutional RWA tokenization and compliance.
The manual diligence bottleneck
Manual due diligence on complex structured assets can take weeks and introduces inconsistency across reviewers.
Loan tapes, title deeds, appraisals, insurance documents, and legal agreements arrive in mixed formats — PDF, XML, spreadsheets, and legacy exports.
RAG for compliance documents
A retrieval-augmented generation (RAG) engine ingests those documents, normalises them, and cross-checks content against a compliance knowledge base.
It flags missing fields, inconsistent terms, and regulatory red flags in hours rather than months — while keeping a rationale trail for each classification decision.
How PazaLabs uses GenAI-RAG
PazaLabs embeds GenAI-RAG across onboarding: document ingestion, semantic validation, counterparty screening, risk scoring, and ongoing performance monitoring.
AI augments institutional decision-making; it does not replace required human and legal oversight. Assets still pass KYC/AML and legal wrapper steps before ERC-3643 issuance.
Ready to tokenize with compliant infrastructure?
Book a session with our structuring team or explore the platform.