5 Strategic Priorities for Closing the AI Readiness Gap
ADAPT latest report reveals 5 priorities to close Australia’s AI readiness gap, boost ROI, and turn ambition into scalable enterprise impact in 2025.
ADAPT latest report reveals 5 priorities to close Australia’s AI readiness gap, boost ROI, and turn ambition into scalable enterprise impact in 2025.
Australian enterprises are at a critical juncture in their AI journey.
Ambitions are high, but structural gaps in governance, data readiness, and capability are preventing organisations from realising meaningful returns.
ADAPT’s recent State of the Nation 2025 Data and AI in Australia report reveals that while budgets are growing and pilots are multiplying, execution maturity remains patchy.
To close this readiness gap, leaders must pivot from experimentation to disciplined delivery, ensuring AI investments are scalable, accountable, and directly tied to business value.
These five strategic priorities outline where focus is needed most in the year ahead.
1. Institutionalise end-to-end AI governance
Establish formalised governance frameworks that span the full AI lifecycle, from data sourcing and model development to deployment and monitoring.
Prioritise risk controls, ownership structures, and traceability in high-impact use cases to meet rising regulatory and societal expectations.
2. Modernise data architecture to enable scalable AI
Shift focus from infrastructure accumulation to architectural coherence.
Invest in Zero Copy Architecture, data lineage tools, and semantic layers to unify fragmented ecosystems and enable secure, real-time AI workloads across cloud and hybrid environments.
3. Accelerate enterprise-wide capability uplift
Embed role-specific upskilling across the organisation, with a focus on operationalising AI fluency.
Equip business leaders with prompt engineering and model evaluation skills, while building ethical AI and data literacy into all layers of the workforce.
4. Anchor AI investments in business-centric KPIs
Redefine success beyond technical throughput.
Tie AI performance to measurable business value, such as operational efficiency, customer experience, regulatory compliance, and cost-to-serve improvements.
Develop shared scorecards across IT, data, and finance.
5. Establish joint accountability across technology and business leaders
Empower CDAOs to act as orchestrators across CIOs, CFOs, and line-of-business executives.
Create cross-functional delivery units to align AI initiatives with enterprise strategy, ensuring coordinated execution, sustained funding, and enterprise-level impact.
Want the Full Report?
The next 12 months will determine whether Australian organisations can translate AI ambition into sustained enterprise impact.
ADAPT’s State of the Nation 2025 Data and AI in Australia report unpacks these priorities in depth, with national benchmarking data, real-world case studies, and sector-specific insights to help leaders bridge the gap between vision and execution.
Download your copy to understand where your organisation stands, and how to position for AI success.