Financial Service
Intelligent AI Audit & Document Verification
AI forensics and LLM automatically detect sophisticated numerical manipulation, impersonation, and duplicate submissions invisible to the human eye.

See how Upstage solves your most critical business challenges.


Automated Cross-Verification to Eliminate Human Error
Large-scale reconciliation between internal data (ERP) and external supporting documents, when dependent on human review, accumulates fatigue that causes critical discrepancies to be missed. Upstage Studio extracts key fields from documents—export declarations, invoices, B/Ls—and structures them for comparison against system data. This creates a reliable, auditable data layer that supports verification workflows.
Intelligent Anomaly Detection for Fraud Identification
Sophisticated document forgeries and abnormal transaction patterns are difficult to detect through manual review alone. When an LLM node is connected, Upstage can cross-reference extracted fields against historical records to flag patterns that deviate from expected norms—impersonation attempts, duplicate submissions, and amount discrepancies. Teams gain an earlier signal to investigate before losses occur.
Proactive Alert System and Analysis Reports
Reactive, post-audit-focused approaches only recognize problems after losses have already occurred. With an LLM node connected, Upstage can generate a concise anomaly report specifying the location and reason for each flagged item, giving the responsible party a clear starting point for follow-up. Earlier visibility into discrepancies reduces the window for financial incidents to escalate.
Here's how the solution works.
Target documents are uploaded to Upstage Studio; Document Parse extracts information and entities, the Extract node structures key fields, and an LLM node can be connected to cross-validate against internal DB records and surface anomalies for review.

See the difference Upstage Studio makes.
Choose the deployment that fits your environment.
API
Real-time information extraction and matching API integration
+ Live in 5 minutes for rapid first-stage fraud screening
+ Fast verification capability deployment via cloud API
- External transmission of large-scale audit data has security constraints
AWS Marketplace
Large-volume batch inspection via cloud self-hosting
+ 1-day setup with independent verification environment
+ High-speed processing of large document volumes with cloud infrastructure
- Physical network integration with internal accounting systems limited
On-Prem
End-to-end verification system within financial security network
+ Real-time direct matching with internal accounting and ERP DB
+ Strong data control and fraud model optimization
+ Closed-network security with zero external exposure

