Fintech Verification AI

LLM + RAG combined with Document AI to automatically verify and classify financial transactions

Problem

In payment gateway and fintech companies, accounting teams are overwhelmed by manually verifying thousands of daily transactions. These transactions often include text data (receipts, transaction logs, notes) and images (screenshots of transfers, scanned invoices, payment slips). Manual checking is time-consuming, error-prone, and costly.

Solution

  • LLM + RAG combined with Document AI (OCR + NLP) to analyze both text and image-based transaction evidence
  • Automatically classify whether a transaction is legitimate, duplicate, or suspicious.
  • Provides accountants with a confidence score and cited references (from transaction logs or attached images).
  • Flags anomalies for human review, reducing workload significantly
INPUT

Transaction log (text) + payment screenshot (image)

SYSTEM
  • AI verifies if payment reference, amount, and timestamp match company records.
OUTPUT

"Transaction verified (legit), Source: system log + uploaded receipt."

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Fintech Transaction Verification Assistant

Fintech verification flow diagram
50K+
Throughput
Transactions per hour
1B
Processing
Tokens per day
97%
Accuracy
Fraud detection precision
<400ms
Latency
Per transaction
~70%
Workload Reduction
Reduction in manual workload for accounting teams
~90%+
Detection Accuracy
Accuracy in detecting mismatched or fraudulent transactions