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Building AI Capability Across Organisations

Client | Transurban, Helia, Regional Australia Institute and others
Partners | La Trobe University

Boards are asking questions, executives are launching pilots, and teams are experimenting with tools.

 

Yet fewer than 30% of Australian organisations report meaningful business value from their AI initiatives. The gap is not in the technology. It is in organisational capability.

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Unicorn Studio Co partnered with La Trobe University to close it, building the AI literacy and strategic confidence organisations need to move from experimentation to real impact.

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MIT's State of AI in Business 2025 puts the problem in sharp relief. Despite $30 to $40 billion in enterprise investment, 95% of organisations investing in generative AI are getting zero return. The research is clear on why: the divide is not driven by model quality or regulation. It is determined by approach.

Deloitte, PwC and Australian research from ADAPT identify the same pattern. Organisations are experimenting, but ambition is not translating into outcomes. Execution gaps, not technology gaps, are holding them back.

Unicorn Studio Co, in partnership with La Trobe University, designed and delivered AI capability programmes built to change that.

These were not technical training courses.

They were designed to build genuine, organisation-wide AI literacy from the boardroom to the front line.

​​Participants developed a clear understanding of how artificial intelligence actually works, covering machine learning, natural language processing, computer vision and foundation models in plain language. They explored the global AI ecosystem, the companies and platforms shaping it, and how these technologies are already transforming industries including healthcare, infrastructure, finance, education and the creative industries.

Executives gained the insight needed to make sharper decisions on AI adoption, governance and investment. Teams built practical capability, using AI tools to improve research, analysis, communication and problem solving in their everyday work.

Responsible AI was woven throughout. Participants examined bias, transparency, accountability and data governance, and explored how to approach AI adoption in ways that are ethical, inclusive and well governed. Practical frameworks helped teams identify real opportunities, assess their data readiness and shape clear strategies for responsible adoption.

​​​​​​The result was organisations better equipped to move beyond the pilot phase, identify where AI creates genuine value and make informed decisions about how to apply it.

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Not chasing hype. Building capability that lasts.

Sources

 

MIT, The GenAI Divide: State of AI in Business 2025 PwC, Global Artificial Intelligence Study Deloitte, State of AI in the Enterprise ADAPT, State of the Nation: Data & AI in Australia

Acknowledgement of Country

We acknowledge the traditional owners of the land on which we work and create, the Wurundjeri people of the Woi Wurrung language group of the Eastern Kulin Nations, in the area known as Narrm (Melbourne).

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We recognise that sovereignty was never ceded, this always was, and always will be, Aboriginal land.

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We also acknowledge the traditional custodians of country throughout Australia and their enduring connections to land, sea, skies and community. We pay our respects to Elders past and present, and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

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