The question surrounding artificial intelligence (AI) has fundamentally shifted. Organisations are no longer debating whether to invest in AI – almost three-quarters globally already rate it as critical to their strategic goals. The question that remains unanswered for most is how to take what works in a controlled pilot environment and make it work at the scale of the enterprise.
The gap between AI ambition and AI delivery is wide, and it is growing. Only 11 per cent of organisations are systematically using AI to deliver transformational results. Fewer than half have a governance policy in place. Just 33 per cent considered their AI initiatives fully aligned with their business goals, even as investment continues to accelerate.
This report draws on original data and commentary from practitioners at the forefront of enterprise AI to identify what separates organisations that have industrialised AI from those still running pilots. It positions transformation leaders as the function most naturally placed to close the gap - and sets out the practical steps to do so.
For European organisations in particular, it addresses the additional dimension of the EU AI Act and the structural advantage available to those who treat compliance as a foundation for platform AI, rather than a burden on top of it.
With exclusive expert insights from:
- Michael Arena, Organisational researcher, University of Pennsylvania
- Kriti Kapoor, AI transformation advisor and author
- Doug Shannon, AI and intelligent automation thought leader
- Puneet Thakkar, Enterprise systems architect, Google
Key takeaways:
- The biggest barrier to scaling AI isn't the technology - it's organisational readiness, governance gaps, and fragmented deployment
- Transformation functions are uniquely positioned to close the scale gap, but most have yet to claim that role
- The shift from "use cases" to "value cases" is what separates AI programmes that compound returns from those that stall
- The structural decisions organisations make now will determine who captures AI's long-term value -and who gets left behind
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