AUTOMATED CUSTOMER ACCOUNT OPENING USING AGENTIC AI

Authors

  • Dr. Noman Hasany
  • Arshan Nasir
  • Dr. Khalid Rasheed

Keywords:

Chatbot, Digital Onboarding, QR Verification, Face Recognition, Biometric Authentication, Speech Recognition, NADRA API, Remote Account Opening, WebRTC, Tensor- Flow.js, FinTech

Abstract

It takes a lot of paperwork and a physical visit to the branches to open a bank account. These documents are examined and validated by people after submission, which causes an excruciatingly drawn-out procedure. Digital banking has made an effort to provide answers over the years, but many businesses continue to rely on manual identity approvals and validation submission processes. Furthermore, these procedures lack robotic technology and intelligent automation, which restricts accessibility and ease. In order to automate every step of the process—from user interaction and identity verification to document authentication and account creation—this study presents an AI-based approach. The primary goal is to create a smart AI agent that enables consumers to safely open accounts without ever leaving their home. Uneducated or physically handicapped users can also benefit from a voice-based interface. Customers typically use traditional techniques for 180 minutes, but the suggested Chabot-based system cuts this time down to 30 minutes.

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Published

2026-04-10

How to Cite

Dr. Noman Hasany, Arshan Nasir, & Dr. Khalid Rasheed. (2026). AUTOMATED CUSTOMER ACCOUNT OPENING USING AGENTIC AI. Spectrum of Engineering Sciences, 4(4), 264–275. Retrieved from https://thesesjournal.com/index.php/1/article/view/2406