From automation to agentic AI with Rohit Dhawan, Lloyds Banking Group

At the FTT Fintech Festival, we had the chance to speak with Rohit Dhawan, Director and Group Head of AI & Advanced Analytics at Lloyds Banking Group. Dhawan shared insights into the practical realities of leading AI strategy, governance, and execution at enterprise scale. As the architect of Lloyds' group-wide AI strategy, Dhawan sets the roadmap for the bank's AI initiatives, emphasizing the transition from automation to agentic AI.

Dhawan began by highlighting the importance of balancing authority, autonomy, and outcomes in AI-driven decision-making. He explained that while automation has been the primary focus of many financial institutions, the future lies in developing agentic AI systems capable of making autonomous decisions. These systems require a blend of advanced analytics, machine learning, and robust governance frameworks to ensure they operate within ethical and regulatory boundaries.

One of the key challenges Dhawan faces is integrating AI across diverse business units within Lloyds Banking Group. He noted that each unit has unique requirements and data sources, making it essential to develop a unified AI strategy that can be scaled efficiently. To address this, Dhawan has implemented a centralized governance model that ensures alignment with the bank's overall objectives while allowing flexibility for individual unit needs.

Another critical aspect of Dhawan's work is fostering a culture of innovation and collaboration within the organization. He believes that the success of AI initiatives depends heavily on the involvement and buy-in of employees at all levels. To this end, Lloyds Banking Group has established AI labs and centers of excellence, providing a platform for experimentation and knowledge sharing. These initiatives not only drive innovation but also help in upskilling the workforce, ensuring that the bank remains competitive in the rapidly evolving financial landscape.

Dhawan also discussed the importance of continuous improvement and adaptation in AI strategy. He acknowledged that AI technologies are constantly evolving, and so must the bank's approach to AI. This requires a flexible and iterative process, where insights from pilot projects are used to refine strategies and improve outcomes. By embracing a data-driven approach, Lloyds Banking Group can make informed decisions and stay ahead of industry trends.

In addition to strategy and execution, Dhawan emphasized the need for strong ethical and regulatory governance in AI systems. He stressed that AI should be used to enhance customer experience and drive business value, but it must do so in a manner that is transparent, fair, and compliant with relevant regulations. To this end, Lloyds Banking Group has established a dedicated ethics team and integrated ethical considerations into its AI development lifecycle.

Dhawan concluded by sharing his vision for the future of AI in finance. He foresees a world where AI systems are not just automating tasks but acting as intelligent agents, collaborating with humans to deliver optimal outcomes. This requires a paradigm shift in how financial institutions approach AI, moving beyond simple automation to building systems that can learn, adapt, and make decisions with autonomy.

In summary, Rohit Dhawan's work at Lloyds Banking Group exemplifies the complexities and opportunities of leading AI strategy at enterprise scale. By focusing on authority, autonomy, and outcomes, Dhawan is driving the bank's transition to agentic AI, ensuring that it remains at the forefront of the financial technology revolution.