LlamaIndex demonstrates a financial due diligence AI agent built with just 600 lines of code and no vector database, leveraging LiteParse to extract PDF layout information for precise, highlighted source citations in answers.
LlamaIndex highlights that traditional income verification struggles with non-standard incomes like gig work, and the key lies in building an AI processing layer that can accurately parse complex documents (like PDFs and bank statements) to enable scalable, automated verification.
Standard OCR fails in KYC scenarios due to its inability to handle real-world document complexities, creating compliance risks; Agentic OCR with reasoning capabilities is needed.