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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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AI without governance is a business risk - here’s why
AI adoption is already happening - whether you planned for it or not
AI adoption isn’t a future initiative. It’s already happening across most organisations - often without formal approval.
Across industries, teams are:
- using generative AI tools to speed up work
- experimenting with automation
- incorporating AI outputs into decisions
This is what’s often referred to as shadow AI - and it’s not hypothetical. It’s already embedded in day-to-day operations.
The real risk isn’t AI - it’s lack of governance
Most conversations focus on whether AI is risky.
The reality is: AI becomes a business risk when it’s used without
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