Why AI ambition is outpacing organisational readiness
AI investment is accelerating, but business value is not always keeping pace. Q5 have collaborated with our partners across The Transformation Alliance (TTA) to explore what separates experimentation from enterprise-wide impact, revealing where organisations struggle to scale AI and what more mature organisations do differently. Download the full report to discover the findings.
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AI ambition is no longer the problem
Organisations are investing in AI, experimenting with new tools and launching use cases at pace. But access to AI does not automatically translate into sustained business value.
That is the focus of our report, titled “The AI Execution Gap: From Ambition to Impact”,
Produced by The Transformation Alliance, a coalition driving transformation with European roots and global reach, the report brings together expertise from consultancies including Q5, H&Z, Cordial, MBS, and Kea. As a member of the Alliance, Q5 contributed to the research and insights behind the report.
Together, TTA assessed AI maturity across 75 organisations, spanning multiple industries and geographies, to understand what separates experimentation from successful, enterprise-wide adoption.
The conclusion is clear: AI ambition is no longer the problem. Execution is.
Why we chose AI
AI is rapidly changing how organisations operate, develop and compete. Investment is accelerating and adoption is increasingly widespread, but organisational maturity is not necessarily developing at the same pace.
That disconnect was the catalyst for TTA’s research.
As part of this research, , partner firms across the Alliance reviewed more than 40 AI-enabled client use cases to understand what differentiated high-impact deployments from those that struggled to scale. Following this, we then examined the experiences of senior leaders responsible for AI, technology, transformation, strategy and operations.
What emerged was a challenge that goes far beyond the technology itself.
The real challenge is execution
Many organisations have ambitious AI strategies, active pilots and growing technical capabilities. Yet the research suggests that the organisational conditions needed to turn those investments into enterprise-wide impact are often less mature.
Change Management was the lowest-scoring capability in the study, averaging 2.4 out of 5, followed by Operating Model & Processes at 2.5.
The message for leaders is significant: scaling AI is as much about people, processes, ownership and ways of working as it is about the technology itself.
What does AI maturity look like?
To understand the execution gap, TTA developed an AI Maturity Framework covering eight core capabilities across four dimensions.
Together, these examine everything from Strategy & Leadership and Data Management to People & Skills, Change Management and Governance & Ethics.
Crucially, the research suggests these capabilities cannot be developed in isolation. Strong technology or a clear AI strategy does not guarantee successful execution. Sustainable progress depends on how effectively the organisation develops the wider system around AI.
What can leaders learn from the report?
The report explores where AI execution is breaking down and what leading organisations are doing differently.
It examines how maturity varies across industries and geographies, the barriers preventing promising pilots from scaling, and the organisational capabilities associated with more mature AI adoption.
It also translates the findings into practical recommendations for leaders and introduces the AI Maturity Toolkit, designed to help organisations assess their current maturity, benchmark their position, identify critical gaps and prioritise action.
The report provides the what and why of AI maturity. The toolkit provides the how.
Moving from ambition to impact
As AI tools become more widely available, access to technology alone will become less of a differentiator. The harder advantage to replicate will be the organisational capability to deploy AI effectively, govern it responsibly and continuously adapt.
The AI Execution Gap: From Ambition to Impact was written by Ahanna Ndujiuba and Maddie Backhouse, with contributions from Tilman Bona, Davide Guizzo, Pierre Chretien and Lars Mårtensson.
Want to discuss what this means for your organisation?
If the findings resonate with the challenges you’re seeing, or you’re interested in understanding what AI maturity could look like for your organisation, get in touch with lead authors Ahanna Ndujiuba or Maddie Backhouse.
Senior Consultant
Senior Consultant
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