The Definitive Benchmark
for Enterprise AI in Australia
Every quarter, we measure AI adoption, governance, investment, and incidents across 6 industries — so Australian executives know exactly where AI maturity stands.
Australian Enterprise AI Index
The definitive quarterly benchmark tracking AI adoption, governance, investment, and incidents across Australian industries.
Industry Rankings
LiveQ2 2026 · Composite score out of 100
Top Signals
LiveKey events shaping the Q2 2026 score
Commonwealth Bank deploys real-time AI fraud detection across 10M+ accounts, reducing fraud losses by an estimated 23% YoY.
Woolworths deploys AI demand forecasting across all 1,050 supermarkets, reducing food waste by 18% and improving in-stock rates to 97.4%.
Big Four banks combined AI and technology capex exceeds $2.1B in FY2026, with AI-specific allocation increasing 34% year-on-year.
Federal Budget 2026–27 allocates AU$1.2B to AI capability across the APS — largest single AI investment in Australian government history.
Services Australia expands AI-assisted payments fraud detection to 94% of payment events — 2.1M fraud prevention interventions per quarter.
What AEAI Measures
Four equally-weighted dimensions. No guesswork. Open methodology.
Adoption
AI projects in production, agentic deployments, developer tool adoption across Australian enterprises.
Governance
Published AI policies, risk frameworks, ethics committees, and regulatory compliance posture.
Investment
AI-dedicated headcount, M&A activity, startup funding rounds, and enterprise AI contract announcements.
Incidents
AI hallucinations, bias complaints, regulatory enforcement, and data breaches linked to AI systems.
Australian Enterprise AI Landscape
Every vendor shaping enterprise AI in Australia — tiered by market position across foundation models, agents, governance, security, and more.
49
Vendors mapped
28
AU market presence
13
Market leaders
1
AU-headquartered
Foundation Models
Base LLMs and multimodal models powering enterprise AI deployments in Australia
Agent Platforms
Platforms for building, deploying, and managing autonomous AI agents in enterprise workflows
AI Governance
Frameworks and platforms for responsible AI policy, compliance, transparency, and lifecycle management
AI Security
Protection of AI models, inference pipelines, and LLM applications against adversarial attacks and misuse
AI Observability
Monitoring, tracing, evaluation, and debugging of LLM applications and AI pipelines in production
AI Risk
Enterprise risk management frameworks and platforms specifically addressing AI model and deployment risk
AI Training & MLOps
Infrastructure and platforms for training, fine-tuning, and operationalising AI models at enterprise scale
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Join CIOs, architects, and policy-makers who track Australian enterprise AI every quarter. Q3 2026 publishes September 2026.
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