Revolution AI in the Banking Industry


The use of AI is rapidly reshaping the financial and banking sector around the globe. It gives banks and other financial organizations the ability to rethink their operations and services to better meet the most recent demands of the market. These AI solutions have undoubtedly accelerated the bank’s ability to improve customer engagement and satisfaction, as well as productivity and operational efficiency, by automating data entry and traditional banking processes. On the other side, this helps save cost and reduce the number of staff needed, which in turn increases income and improves risk and regulatory management.

AI-powered chatbots and virtual assistants are becoming increasingly popular in the financial sector, providing customers with 24/7 support and personalized recommendations. As AI continues to advance, it is expected to play an even greater role in fraud detection and prevention, investment management, and loan underwriting. AI has made it possible for banks to look at and manage a huge amount of complicated data that is both structured and unstructured in a much faster and more accurate way. For example, AI may learn more about customers and how they act by looking at their past transaction patterns and demographic information. This lets AI find insights that were previously hidden, make predictions, and make more personalized suggestions, all of which give clients more value.

AI can also help banks reduce costs by automating routine tasks and improving operational efficiency, which in turn leads to faster and more efficient services for customers. As AI technology continues to evolve, it is expected to revolutionize the banking industry and improve the overall customer experience.

Using AI in banking systems could help banks find new ways to make money, make better credit decisions, find fraud, analyze financial records, and pull-out important information. They can also save money and time by automating front-, middle-, and back-office processes. In the long run, it will result in a reduced cost-to-income ratio for banks across the board.


INFOPRO has sped up the process of making models that can be explained to help with new uses of AI. With the ability to learn on its own, these use cases focus on making things easier for customers and automating hard banking tasks. The goal of these newly developed application cases for AI is to satisfy consumers.

We’ve made solutions for supervised processing, unsupervised processing, deep processing, and natural language processing (NLP). With these solutions, INFOPRO can make customized AI models that are easy for businesses to understand and use. This makes businesses more efficient and improves customer satisfaction. With its diverse range of AI capabilities, INFOPRO is well-positioned to meet the evolving needs of the market.


So, banks and other financial institutions can use our knowledge of AI and experience building models to calibrate and recommend the best AI solutions based on the most recent customer trends. As a direct result of this change, the old ways of doing things in banking are now better and more automated.

How is it that financial institutions already have AI models in place?

We can also help financial institutions improve the accuracy and usefulness of the AI models they already have by helping them retrain and reuse them. In addition, we provide you with the choice to monitor the performance of AI models and get alerts if they drop below a certain threshold.

Since our AI and analytics solutions are based on the context of INFOPRO’s system, they integrate seamlessly with the primary system as well as any third-party solution that uses API. So, gather your information and make a problem statement, and we’ll help you switch from traditional banking to AI-First Digital Banking.



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Block B3 Level 8, Leisure Commerce Square, No. 9, Jalan PJS 8/9, 46150 Petaling Jaya, Selangor
+60 (3) 7876 6666





Block B3 Level 8, Leisure Commerce Square, No.
+60 (3) 7876 6666