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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
...Shadow AI and AI governance: how to manage risk without slowing innovation
What is shadow AI?
Shadow AI refers to the use of generative AI tools, large language models (LLMs), AI agents, or automation workflows inside an organisation without formal approval, oversight, or integration into an AI governance framework.
Shadow AI introduces unapproved intelligence - models, prompts, datasets and workflows that can silently influence decisions and outputs, which presents a significant risk exposure to organisations.
Many high-profile cases have already shown how employees can unintentionally expose sensitive data through public AI tools. The risk is no longer hypothetical - it is real and happening now.
According to Microsoft and LinkedIn’s Work Trend
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