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Tutorial: Automating KYC with AI agents 🪪🕵 I’m creating a new tutorial series of automating practical document workflows with agents. Every financial institution needs to perform KYC (know your customer) to verify a customer’s identity, and this involves manually sifting through IDs, bank statements, etc. and doing the cross-checking... show more
30,062 Aufrufe • vor 5 Monaten •via X (Twitter)
8 Kommentare

@llama_index Great Jerry. That's exactly what I need. Do you have any other tutorials on how to create a rag for insurance purposes? Can you give me some advice for my project? Is it possible to contact you?

love seeing practical agent use cases like this

automating the part where someone squints at a passport photo and goes 'yeah thats probably the same person' was always inevitable tbh

Great starter use case for doc‑centric agents. KYC is basically the perfect playground: extraction + cross‑validation. The real differentiator will be extraction quality (scores + citations). Can’t wait to try the LlamaParse tutorial.

zamn pydantic schemas making document parsing reliable in 2024? we might actually solve kyc automation fr

Thank you again, found this when I came to get the liteparse_samples!

Agentic KYC needs evidence boundaries. Extracted fields should carry source citations and confidence, conflicting records should escalate, and sensitive documents should stay minimized. Automation is valuable when every verification decision remains reviewable.

Love it thank you for sharing did the same but in
