E255 Transforming Banking with AI: Building a Data-Led Future with Bank of Ireland’s Carl Kane

Today’s guest is Carl Kane, Group Data Culture Lead at Bank of Ireland. AI adoption is moving faster than many businesses can keep up with, with employees often taking the lead before company strategies catch up. In this episode, Carl speaks about what it takes to turn individual experimentation into meaningful business results, exploring leadership, data readiness, AI literacy and the role of storytelling in bringing people along.

Carl opens the conversation by discussing the role of artificial intelligence in transforming traditional business practices. As AI tools become more integrated into everyday operations, companies are experiencing shifts in how they manage tasks, gather data, and engage with customers. This technological shift is not just about improving efficiency but also unlocking new avenues for innovation and growth.

Carl also emphasises the growing disparity between employee-paced AI adoption and broader organisational implementation. Many employees are harnessing AI tools independently, often surpassing the frameworks their companies have in place. This gap presents both a challenge and an opportunity for businesses to align their strategies with this rapid technological adoption.

The critical role of leadership in embracing AI at an organisational level, according to Carl. By learning from companies that lead from the top, such as in the tech industry, businesses can successfully integrate AI into their core processes. This requires a commitment from executives to invest in technology and cultivate an AI-centric culture that aligns with business objectives and ethical standards.

One of the significant hurdles discussed in the podcast is the state of organisational data. Carl points out that to effectively implement AI; companies must prioritise robust data management strategies. Organising and maintaining data integrity will enable AI systems to function optimally, ultimately driving better decision-making and efficiency across workflows.

As Carl and Mark explore the potential of AI, they stress the importance of measurable outcomes and continuous learning. Companies should focus on nurturing AI literacy among their workforce, ensuring employees can fully leverage AI’s capabilities for sustained success. Moreover, human-led governance and ethical considerations are paramount to achieving a balance between innovation and responsibility.

In conclusion, businesses need clear leadership, reliable data and people who understand how AI can support their work. By starting with practical challenges, measuring results and using storytelling to build understanding, organisations can give employees the confidence to embrace change and turn early enthusiasm into lasting improvements.