Spectra: A Rules-Driven LLM Pipeline for Automated KYC Document Processing
arXiv cs.AIen
arXiv cs.AI
AI Global WirearXiv:2609.25474v1 Announce Type: new Abstract: Know Your Client (KYC) onboarding in capital markets requires analysts to manually classify documents, extract structured data from heterogeneous sources, and validate compliance against complex regulatory policies. This process requires significant analyst time per client, with end-to-end onboarding often stretching to multiple weeks due to sequential handoffs. In this work, we analyze an on-boarding process and find that it comprises repeatable components well-suited to AI automation. We therefore propose a restructured workflow to be amenable to automation: we consolidate the traditional four-party process into two parties that share most of
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Forskning
Related AI news
- 4DGS-JEPA: Temporally Compositional Joint-Embedding Prediction for Dynamic Gaussian SplattingarXiv cs.AI · September 23, 2026
- Lean Pool: An AI-Maintained Archive of Formalized MathematicsarXiv cs.AI · September 23, 2026
- Making Agents More Consistent: Skills Should Form Habits for Repeat TasksarXiv cs.AI · September 23, 2026
- Efficient Iterative Retrieval with Heterogeneous BatchingarXiv cs.AI · September 23, 2026
- Attention as a Routing Graph: Live Circuit Extraction from a Single Forward PassarXiv cs.AI · September 23, 2026
- SMTB: Fast Structure-Mapping with Tight BoundsarXiv cs.AI · September 23, 2026