As the banking industry shifts from digital tools to AI-centric models, experts emphasise the importance of aligning artificial intelligence adoption with clear commercial goals amid deployment challenges.
Banking has moved from branch-led services to digital platforms and cloud systems, and now the industry is entering a new phase shaped by artificial intelligence. In an episode of the Analytics Insight Podcast, Ranga Reddy, chief executive and co-founder of Maveric Systems, said the next step is not simply more automation but a different way of thinking about how banks operate, decide and serve customers.
Reddy, who has spent 25 years in banking technology and consulting, used the discussion to explain why Maveric Systems has stayed narrowly focused on financial services. According to company material, that specialisation has allowed the business to build domain knowledge alongside product and technology expertise, a combination it says is critical for banks that want partners who understand both legacy systems and transformation goals.
The company argues that AI-first banking is not the same as digital-first banking. Digital tools helped banks move services online and improve access, but Maveric says AI goes further by identifying patterns, making predictions and supporting actions based on data rather than fixed rules. Reddy has also stressed that the industry is moving away from isolated use cases and towards models in which AI is tied directly to business outcomes, including compliance, customer experience and operational efficiency.
That shift is also exposing practical hurdles. Maveric has said the biggest problem is often not the technology itself but deployment: banks may have the tools, yet struggle to scale them across the enterprise. Reddy has pointed to data quality, talent shortages and operating model redesign as key obstacles, while arguing that some institutions still rely too heavily on rule-based bots instead of more capable AI agents. The message running through Maveric’s recent commentary is that banks need to connect AI adoption to clear commercial goals if they want the technology to deliver more than incremental gains.
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.
