Automated KYC Verification BOT.

Abstract— Automated KYC verification plays a vital role inenabling secure digital services by ensuring accurate andefficient identity validation. However, manual verification ofAadhaar and PAN documents is time-consuming, error-prone,and inefficient when processing large volumes of customerdata. This paper presents an Automated KYC Verification Botusing RPA and OCR technologies, designed to automaticallyextract identity information from uploaded documents andvalidate it against structured customer datasets. The systememploys UiPath for robotic process automation, where OCRconverts document images into machine-readable text,followed by automated data matching and rule-based decisionmaking. Based on verification results, the system generatesapproval or rejection status and sends automated emailnotifications to customers. The proposed solution reducesmanual effort, improves verification accuracy, andsignificantly accelerates the KYC process. This workdemonstrates how integrating RPA and OCR technologies canenhance efficiency, reliability, and scalability in modern digitalKYC workflows.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-09
DOI
https://doi.org/10.5281/zenodo.20608849
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated KYC Verification BOT.

Mrs. T. Divya, Ms. K. Priyanga Sri, Ms. R. Jackulin Clara Subiksha, Ms. M. Vinothini
Zenodo (CERN European Organization for Nuclear Research)
Robotic Process Automation Applications
article

Automated KYC Verification BOT.

Mrs. T. Divya, Ms. K. Priyanga Sri, Ms. R. Jackulin Clara Subiksha, Ms. M. Vinothini
article en

Abstract

Abstract— Automated KYC verification plays a vital role inenabling secure digital services by ensuring accurate andefficient identity validation. However, manual verification ofAadhaar and PAN documents is time-consuming, error-prone,and inefficient when processing large volumes of customerdata. This paper presents an Automated KYC Verification Botusing RPA and OCR technologies, designed to automaticallyextract identity information from uploaded documents andvalidate it against structured customer datasets. The systememploys UiPath for robotic process automation, where OCRconverts document images into machine-readable text,followed by automated data matching and rule-based decisionmaking. Based on verification results, the system generatesapproval or rejection status and sends automated emailnotifications to customers. The proposed solution reducesmanual effort, improves verification accuracy, andsignificantly accelerates the KYC process. This workdemonstrates how integrating RPA and OCR technologies canenhance efficiency, reliability, and scalability in modern digitalKYC workflows.

Zenodo (CERN European Organization for Nuclear Research)
Madurai Kamaraj University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Robotic Process Automation Applications
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