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  • Consultancy
    • Organisation-Wide Transformation
    • Innovation Ecosystem Audit
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Changing the Ending

  • Posted by Sara Husk
  • On 03/08/2026
Most AI governance discussions focus on ethics, regulation, or technology. The more immediate challenge is organizational: ensuring that the decisions determining whether AI creates value remain owned by people with the authority to make them. This article presents four structural changes that restore accountability before AI's speed turns governance into an afterthought.
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We’ve Seen This Movie Before

  • Posted by Sara Husk
  • On 16/07/2026
The Chief AI Officer is about to relive the Chief Innovation Officer’s hardest decade, in fast-forward. If you lived the first one, you can already see the second one coming. Someone decided the innovation team, or you specifically, should own or maybe even co-own the AI agenda, and the pilots, the pressure, and the board’s […]
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What Bespoke Tailoring and Vibe-Coding Have in Common

  • Posted by Iliriana Kaçaniku
  • On 02/07/2026
And why vibe-coding enterprise hackathons (aka challenges) may be the best thing your organization can do for its employees right now. Before I could read or write, I could make clothes. For my doll, admittedly, but still.  I grew up with a deep love for bespoke tailoring, the discipline of designing one unique piece for […]
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Who Should Own the AI Budget—and Why This Is a Terrible Question

  • Posted by Dan Toma
  • On 03/05/2026
Artificial intelligence has quickly moved from being an experimental technology to becoming one of the largest budget priorities in most organizations. In many companies today, a significant portion of discretionary spending is being redirected toward AI initiatives, pilots, tools, talent, and infrastructure. As usually happens in corporate environments, budget allocation is never just about money—it […]
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Why AI Projects Fail: 6 Mistakes That Kill ROI (and How to Fix Them)

  • Posted by Dan Toma
  • On 17/04/2026
Most AI projects don’t fail because of the technology—they fail because of how they’re implemented. Despite massive investment, up to 90% of AI initiatives never deliver real ROI. This article breaks down the most common mistakes organizations make—and how to avoid them.
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AI Should Reshape the CEO Role—But Not in the Way You Think

  • Posted by Dan Toma
  • On 17/03/2026
Data used to live in the warehouse. Then it moved into dashboards. Now it’s creeping into the boardroom. Are we entering the era of the “Algorithmic CEO”? Should CEOs fear for their jobs? Or will they be the “human in the loop” when it comes to decision-making? It’s not a robot replacing leadership — but […]
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