12/06/2026
AI’s biggest hurdle is not the technology.
It is leadership ownership.
As organisations move from AI experimentation into live business use, the real risk is no longer just whether the tool works.
It is whether the business has clearly defined who owns the outcome when AI influences a decision.
Who is accountable when an AI recommendation is wrong?
Who reviews the handoff between human judgement and machine output?
Who makes sure AI activity is connected to business intent, not just technical possibility?
In my latest RTInsights article, I explore why AI adoption needs to shift from an IT-led project to a leadership-owned operating model, and why clear decision rights, accountability, and practical governance are now essential for turning AI promise into business value.
Read more: https://hubs.la/Q04jV2Nf0
[Decision Making, Business Strategy, Digital Transformation, Operational Excellence. Future Of Work, Responsible AI]