SkimPath AI Agent executes the mechanical steps of AML onboarding — from client intake to underwriting-ready case file. Structured intake, document extraction, screening orchestration, and case packaging. Automated.
Your compliance team chases missing documents, re-keys data from PDFs, and reconciles results across fragmented tools — while underwriters wait for a complete file and customers drop off.
The root cause is workflow fragmentation between intake, document collection, screening, and the underwriting handoff. That's exactly what SkimPath fixes.
Here's a conservative example of the operational savings from structured onboarding. Time saved compounds fast as volume grows. Replace "manual prep" with "case packaging" and the math stays the same.
SkimPath executes the repetitive, mechanical steps of AML onboarding — dynamic intake, document validation, data extraction, screening orchestration, and case assembly. Your team stays in control of every decision.
Many compliance tools run individual checks. SkimPath focuses on the workflow between those checks — standardising intake, reducing tool-switching, and delivering underwriting-ready case files. Every extracted field and screening result is logged and traceable. The AI agent handles workflow execution — humans remain accountable for decisions.
The AI agent handles workflow execution. Your compliance team retains full accountability for every regulated decision. We're explicit about this because it matters.
AI handles workflow execution. Humans make regulated risk decisions.
Estimate the analyst time and cost recovered by reducing manual AML onboarding prep. Use conservative assumptions — if the math works here, it only improves in production.
We recommend modelling only mechanical prep work (document collection, re-keying, packaging).
A quick view of what changes for ops and underwriting when case prep is automated.
Join our early access programme. We're working with a select group of founding fintech compliance teams.