AI in banking is often discussed as a technology shift. ING’s view is that it’s an operating model shift. In this long form compilation, Marnix van Stiphout Chief Operations Officer and Chief Transformation Officer (COO/CTO) at ING shares how a global bank approaches AI when the priorities are trust, resilience and control as much as speed. Across the conversation, he makes three points that matter for leaders:
(1) scaling growth means not scaling complexity and risk;
(2) innovation is not the bottleneck adoption at scale is (skills, governance, operating model readiness);
(3) the next wave of AI in banking will require human accountability, with stronger roles in oversight, validation, and continuous control as AI moves into day to day operations.
If you’re interested in how C level leaders think about AI in regulated industries beyond hype and beyond pilots this is a grounded perspective on what has to change inside the organisation for AI to scale responsibly.
Chapters:
What are the most important priorities for ING right now?
What meaningful impact has the implementation of AI within ING?
As AI progresses from prototypes to enterprise-wide systems, what operational challenges become most pressing and how is ING overcoming them?
With AI becoming more autonomous, what governance considerations are top of mind at board level?
How do you balance rapid AP innovation with regularity compliance and operational risk?
Looking ahead, what future change or innovation do you believe could redefine success within the industry and what challenges might ING need to overcome to achieve it?
