Accelerate AI Adoption in Banks Swiftly, Yet Steadily

Banks are increasingly adopting AI through a strategic crawl-walk-run-fly (CWRF) approach. This method starts with small, focused AI projects like automating routine tasks and personalizing customer interactions. As banks gain confidence and demonstrate small successes, they expand AI applications to more complex areas such as fraud detection and risk assessment. This iterative process maximizes learning, builds internal expertise, and shows tangible value before full-scale AI transformation.

The Infosys Bank Tech Index shows that a massive 99% of banks reported less than half of their transformation projects on track. AI-first financial institutions can bring the best out of their data to become more efficient and grow. For example, as part of its Forward ’28 strategy, Danske Bank is accelerating data and AI investments to become a leading digital bank. The Bank is accelerating its transformation toward an AI-first bank by partnering and using AI to modernize, improve business operations and enhance security. This viewpoint explains how the CWRF approach can help identify high-potential projects and significantly improve their likelihood of success in adopting tech.