Between 70-95% of AI implementations fail—not just because of technology, but because organisations ignore fundamental neuroscience principles about human response to change. MIT research reveals six brain-based threats that trigger resistance. Success requires addressing these human factors through collaborative, people-centred implementation.
People-centric change leadership is essential for AI implementation success. The PEOPLE Framework addresses why most change programmes fail - not through technology limitations, but through lack of buy-in. Discover a practical approach that puts people at the centre of transformation.
Aviation expert Barry Eustance reveals why AI implementation requires human oversight, not replacement. His insights on error rates, shared accountability, and contingency planning offer crucial lessons for industrial leaders in agriculture, food, and chemicals sectors navigating AI adoption safely
Despite massive investments, 95% of AI projects fail to deliver business value due to organisational design flaws, not technology limitations. Research from "AI and the Octopus Organization" reveals a paradox: successful AI transformation requires stronger human leadership, not weaker. Strategic clarity must precede technological sophistication for transformation success.
AI accelerates strategy development but intensifies human implementation challenges. Our podcast discussion with Barry Eustance reveals why collaborative change management becomes more critical as AI capabilities advance, exploring neuroscience insights and practical approaches for sustainable transformation.
Artificial intelligence revolutionises strategic analysis but cannot replace human collaboration in strategy implementation. As AI generates more sophisticated insights, organisations need stronger capabilities for translating corporate strategy into practical decision rules. Success requires combining AI analytical power with collaborative change management approaches.