{"id":2143524542,"date":"2025-01-07T00:00:00","date_gmt":"2025-01-07T00:00:00","guid":{"rendered":"https:\/\/newgensoft-v2.wordpoets.com\/resources\/blog\/2025\/01\/07\/agentic-ai-reshaping-the-banking-industry\/"},"modified":"2026-06-11T07:10:38","modified_gmt":"2026-06-11T07:10:38","slug":"agentic-ai-reshaping-the-banking-industry","status":"publish","type":"post","link":"https:\/\/newgensoft.com\/resources\/blog\/agentic-ai-reshaping-the-banking-industry\/","title":{"rendered":"How Agentic AI is Reshaping the Banking Industry"},"content":{"rendered":"

The Digital Transformation Journey<\/strong><\/h2>\n

The financial services industry has rapidly transitioned\u2013 and how! From manual and paper intensive to AI-led automated processes<\/a>, this industry has fully embraced digital transformation. In fact, according to a leading tech giant, financial services has the second highest adoption rate<\/a> of AI across industries.<\/p>\n

Banking<\/a>, a key sub-vertical of this industry, has a solid track record of spending on emerging tech, especially AI<\/a>. Technological advances have fueled the banking operations by fourfold. Processes that were once labor-intensive and tedious have been revolutionized with the emergence of the internet and mobile banking. Automation and AI have brought a sigh of relief from the plight of repetitive and monotonous tasks- whether it\u2019s processing loan applications, or managing thousands of supplier invoices- allowing businesses to focus on innovation and strategy.<\/p>\n

But is AI new to Banking? Not at all. \u201cTraditional AI\u201d has existed in the Banking world since years, but with limited adaptability. Consider this scenario- Harry visits a banking website and interacts with its chatbot, looking for a tailored investment product. However, the chatbot reliant on pre-fed data suggests generic options- or worse, fails to offer any relevant suggestion. Intelligent, yet incomplete. While AI has been around for years- its capabilities have been limited to predefined rules, giving rise to the need for autonomous and contextual AI, that takes decisions as well.<\/p>\n

That is where Agentic AI steps in.<\/p>\n

Enter Agentic AI<\/strong><\/h2>\n

Unlike GenAI<\/a>, which is reliant on prompts, Agentic AI<\/a> acts autonomously to solve novel problems in real-time. It doesn\u2019t just simply respond\u2013 It thinks, analyses, and acts contextually. Gone is the one-size-fits-all approach; it rather leverages real-time customer data like transactional history, risk appetite, and investment style, and suggests relevant investment products.<\/p>\n

The intelligent system deploys specialized agents that break down complex problems into simpler components, solve them independently, producing an optimal result. These agents work smartly in tandem imitating a human\u2019s decision-making capabilities. Impressive, isn\u2019t it? Maybe imitation truly is the sincerest form of flattery here!<\/p>\n

Today, Harry would not leave the website disappointed but with customized investment products based on his risk appetite, past transactions, and investment style.<\/p>\n

With the second highest adoption rate, the Financial Services industry has welcomed agentic AI with open arms, with a profound impact on banking operations. From customer onboarding<\/a> to highly personalized recommendations to fraud detection and even managing credit and financing risks in supply chains<\/a>– AI agents are being envisioned to revolutionize every corner of banking. Let us explore some of the most impactful use cases.<\/p>\n

Agentic AI Use Cases in Banking<\/strong><\/h2>\n