We’re hosting the next session in our Minds in Motion series, focused on AI governance, and how organisations can support AI use in a sustainable, ethical and compliant way.
On 19th March in Bristol, we’ll be hosting an invite-only, discussion exploring how organisations can move from informal AI use to structured, responsible governance.
AI tools are already being used across businesses - often without clear visibility into what data is being entered, how it’s being processed, or who is accountable for the outcomes.
The challenge is multi-dimensional, it’s not only about sensitive data leakage. It’s about:
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.
Enterprise environments are already complex. Most organisations operate across layered technology stacks,
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