In 2025, over half of Australian leaders prioritise digital transformation. Yet AI planning is still complex, costly, and often siloed.
Without clear direction, teams pursue their own agendas - buying tools, setting policies, or managing data without alignment on the core business problem or how it all connects.
So how do leaders cut through the noise, reduce risk, and get real ROI from AI?
>> Start with the problem. Build your AI plan around what matters.
Assess the pain points, current AI maturity, and potential opportunities, agree on success criteria, then align leaders on a strategic direction.
Address and prioritise the opportunities, understand potential complications, then design for changes to the operating model and systems. This includes clarifying where AI and humans contribute, reflecting these shifts in who is responsible, accountable, consulted and informed (RACI) in process documentation, and may require creating new governance mechanisms to oversight the new human-AI process steps.
Adapt and run pilots to test the new human-AI processes meet the success criteria. Conduct impact assessments on the process changes, understand technical and human capability gaps, and develop business, procurement and change management plans to close these gaps.
Adopt the new processes, AI-system enhancements and governance mechanisms. Complete training programs, systems testing, data preparation and business readiness activities. Continue to monitor adoption and embed the changes into business operations.
Get in touch to organise a complimentary consultation to help you explore the 'Assess' phase for your business.
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