Indian banks are rapidly adopting AI technologies like generative and agentic AI, but senior executives warn that ensuring robust governance and data privacy is crucial to reap the benefits without risking customer trust and system integrity.
Indian banks are moving quickly to adopt artificial intelligence, but senior executives say the real test is not whether the technology works. It is whether lenders can deploy it without compromising customer data, governance or the integrity of existing systems. At the FIBAC conference in Mumbai, chief executives said banks are pushing beyond familiar uses such as fraud detection and risk management towards generative AI and agentic AI, a more advanced form that can perform tasks with limited human prompting.
The discussion reflected a wider concern across global finance that AI is advancing faster than many governance structures. TechRadar has reported that financial institutions are under pressure to show stronger accountability as AI becomes embedded in customer service, compliance and operations, while legacy systems and uneven data quality make oversight harder. The challenge, executives and analysts say, is not simply to add AI on top of old banking infrastructure, but to build controls that keep pace with systems that learn and adapt.
That pressure is also fuelling a shift in how banks think about trust. According to TechRadar, EY Global CIO Joe Depa has argued that speed alone is no longer enough and that firms need to move fast with trust built in from the start, including strong data foundations and board-level oversight. The same theme runs through recent industry analysis from Wolters Kluwer, which says many banks are still stuck in pilot projects because poor data structures and weak governance make it hard to move AI into production at scale.
For banks, the prize remains substantial. AI is increasingly seen as a tool that could reshape customer engagement, internal operations, fraud defence and credit decisions. But as IBM and other industry commentators have noted, the sector also faces cybersecurity risks, legal uncertainty and inconsistent standards, all of which make governance central rather than optional. The message from Mumbai was clear: AI may transform banking, but only institutions that can control data, embed oversight and modernise their systems are likely to capture the benefits safely.
Disclaimer: This article is intended to inform and educate, not to recommend or endorse any financial product, investment or strategy. Please consider your own financial circumstances and seek professional advice where appropriate before making financial decisions.
