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Document intelligence & compliance

Document Compliance AI

An AI compliance engine for document-heavy workflows, built to review invoices, contracts, agendas, sign-in sheets, and supporting documents at scale while preserving a clear reviewer and audit trail.

compliance / review queue
Batch 04 · 9,841 docs
Review queue
14 high-priority
AGY-2024-INV-0481.pdf
Pass
Vendor agenda — Berlin.pdf
Review
Sign-in sheet · 03.docx
Pass
INV-3344 (dup of 3211)
Flag
Travel-rec-Q2-batch.zip
Pass
↳ Cross-batch link found: INV-3344 also submitted in Q2 batch 02.

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Problem

Corporate meetings and events can generate thousands of documents across vendors, agencies, countries, and historical batches. Compliance, finance, and AP teams often cannot review everything manually, so duplicates, mislabeled files, missing required documents, and invoice reuse can surface too late.

System built

A high-volume document review workflow that ingests large batches of event documentation, classifies files, extracts structured fields, links documents across meetings and historical submissions, and produces a severity-ranked review queue with plain-language explanations.

AI role

AI supports vision/OCR reading, document classification, structured extraction, label-mismatch detection, entity-aware cross-document linking, duplicate detection, suspicious-pattern surfacing, and reviewer explanations.

What it proves

CitronLab can build AI systems for high-volume document workflows where accuracy, explanation, human review, and audit-ready outputs matter.

Verified proof points
  • Up to 10,000 documents per batch
  • ZIP upload, email .msg attachments, and optional Cvent connector
  • Hash + vision OCR with structured field extraction
  • Cross-document reasoning via LLM
  • Audit-ready PDF and CSV exports
Tags
Document AIComplianceAP workflowsAuditOCRLLM reasoningReview queuesCorporate events
Let's talk

Building something like Document Compliance AI?

If this case study resembles a problem you're solving — or sparks an idea for something adjacent — let's talk. Most useful AI systems start as a half-formed thought about a specific workflow.