All AI adoption is Change management
Most AI initiatives fail because organisations treat AI adoption as a technical deployment instead of a continuous change management process.
Most AI initiatives fail because organisations treat AI adoption as a technical deployment instead of a continuous change management process.
Many organisations execute well but still fail to achieve what truly matters. This article explores strategic misalignment in decision-making, and illustrates it through a real case where strong growth ultimately undermined the outcome the business needed to deliver.
Many organisations are making AI usage visible before they can demonstrate real value. This article examines two cases to show why “adoption” is not one thing, and why evidence of use, value, and organisational capability must be treated differently.
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Insights from the 2025 Alzheimer’s Society Conference on dementia care inequalities across policy, services, communities and families in the UK.
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The system didn’t fail because something unexpected happened. It failed because what was expected wasn’t managed.
Most transformations don’t fail due to poor strategy — they fail because people feel left out. Here’s how to overcome resistance and lead real change.