Once-futuristic capabilities—AI drafting commentary on management reports, analysing external data, or reconciling accounts across systems— are already within reach. But the true power of AI lies not in automation alone, but in its ability to elevate finance into a more predictive, strategic, and value-driven function. AI is enabling finance teams from three core angles: improving efficiency by speeding up routine processes, strengthening compliance by reducing manual errors, and unlocking better insights through faster, smarter analysis.

This paper is a maturity-led blueprint that shows how agentic AI orchestrates front-to-back banking processes to move pilots into production. It presents LTIMindtree’s EPic ShifT framework and explains the data foundations, governance, and KPIs required to scale AI responsibly across the bank.

Cost and regulatory pressures, the need to decommission legacy landscapes, rising customer expectations and market dynamics are forcing banks to accelerate their modernization journeys. Yet persistent concerns around cost efficiency and the inherent complexity of digital landscapes, as well as issues relating to data sovereignty and uncertainty about cloud operating models, continue to hinder many organizations from achieving their strategic transformation objectives. This, in turn, restricts their capacity to innovate and compete – whether for customers, clients or top talent. A KPMG-led, SAP-enabled transformation can help organizations overcome these challenges by striking the right balance between data control, security and the agility needed to harness emerging technologies that are reshaping the banking industry