1. Introduction

Artificial Intelligence (AI) has become an indispensable component of global banking and financial management. From risk analysis, customer service, and fraud detection to investment decision-making, AI is enabling financial institutions to make faster and more accurate decisions.
In Bangladesh, banks and fintech companies are gradually embracing this transformation, though full-scale implementation is yet to be achieved.

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2. Global Context and Data

🔹 Global Market Size:
According to Allied Market Research (2024), the global “AI in Fintech Market” was valued at approximately US$ 22.5 billion in 2024, and is projected to reach US$ 61 billion by 2030.

🔹 Major Application Areas:

Fraud Detection: JPMorgan Chase, HSBC, Citi Bank AI models

Credit Scoring: Experian, FICO, Upstart

Robo-Advisory and Algorithmic Trading: Wealthfront, Betterment

Risk Management and Regulatory Compliance: RegTech solutions

🔹 Key Success Stories:

HSBC uses AI to analyze about 1.5 billion transactions annually for fraud detection.

MasterCard’s Decision Intelligence System uses AI to verify over 75 billion transactions per second.

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3. Bangladesh’s Current Status (Up to 2025)

🔸 Banking Sector:

Sonali Bank, BRAC Bank, Dutch-Bangla Bank, and Eastern Bank have introduced AI-based chatbots such as SONALI eSheba and EBL Connect.

Bangladesh Bank established a Fintech Regulatory Sandbox in 2023 to test new AI fintech solutions.

Mobile Financial Services (MFS) providers such as bKash and Nagad are using AI for transaction pattern analysis and fraud detection.

🔸 Data and Security Challenges:

Weak cybersecurity infrastructure

Lack of centralized data integration

Shortage of technologically skilled workforce

Inadequate customer data privacy protection policies

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4. Prospects and Future Targets (2025–2030)

🇧🇩 Government Goals:
Under the “Smart Bangladesh Vision 2041,” the government aims to build a Smart Finance Ecosystem with the following milestones—

1️⃣ By 2026:

AI-based risk analysis and customer service automation in all state-owned banks

2️⃣ By 2028:

Implementation of a Digital Credit Scoring System

Introduction of AI-powered investment advisory platforms (Robo-Advisors) in private banks

3️⃣ By 2030:

Establishment of a fully AI-integrated Smart Central Banking System

Integration of AI in cross-border payment systems and AML (Anti–Money Laundering) monitoring

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5. Fundamental Tasks for AI Adoption in Financial Institutions

Effective use of AI technology can revolutionize Bangladesh’s financial management—accelerating loan approvals, reducing fraud, and strengthening the foundations of good governance in banking.
However, for successful implementation, it is essential to—

Develop skilled human resources

Strengthen cybersecurity infrastructure

Update the legal and regulatory framework

Enhance international cooperation

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6. Policy Recommendations

(1) Formation of a Central “AI in Finance Taskforce”
(2) Fintech–University Collaboration for AI Research
(3) Establishment of a Cybersecurity Framework for AI Applications
(4) Launch of Pilot AI Projects in Government Finance Systems

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