Insights
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AI governance in practice: managing shadow AI in UK organisations
Last week, we hosted our latest Minds in Motion roundtable in Bristol, bringing together senior leaders from across healthcare, finance, manufacturing, energy and technology to explore a challenge many organisations are facing today: AI governance.
The session saw a fantastic turnout, with the room at full capacity and additional interest beyond available spaces – a clear signal that organisations across the UK are actively trying to understand how to manage AI adoption safely and effectively.
Led by our CEO, Dolo Miah, the session was designed as an open, discussion-led forum rather than a presentation. What followed was an honest, practical
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The misconception holding enterprise AI back
There is a persistent belief that artificial intelligence is inherently transformative. That once deployed, it will automatically unlock efficiency, accuracy, growth or competitive advantage.
In reality, AI does not create transformation on its own - it amplifies what already exists inside your organisation.
If your systems are coherent, your data reliable and your governance mature, AI accelerates performance. But if your structures are fragmented, your data inconsistent and your oversight unclear, AI scales those weaknesses instead.
This distinction is critical for enterprise decision-makers.
Complexity has outpaced legacy structures
Enterprise environments are already complex. Most organisations operate across layered technology stacks,
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