AI in Australia

Allianz's Project Nemo, deployed in Australia in July 2025, is the insurer's first integrated agentic AI claims system, automating sub-AUD$500 food spoilage claims with seven specialised AI agents and reporting an 80% reduction in claim processing and settlement time.

NRMA, the Australian membership organisation serving millions of motoring and travel members, partnered with Microsoft partner Antares to deploy QBot — an enterprise AI platform built on Microsoft Azure and renamed NRM8 (NRMA Mate) by staff — across its contact centre, recruitment and technical teams. The six-month rollout now produces reports in about ten minutes, down from roughly a week, and lets recruitment teams draft job ads almost instantly while keeping data inside NRMA's own environment.

Ausgrid, Australia's largest energy network on the east coast, partnered with KPMG and Microsoft to pilot an AI-enabled guided-buying accelerator (KymChat, built on Microsoft Azure OpenAI) inside its procurement function. The pilot encodes Ausgrid's policies and procurement rules into the chatbot so the team can make faster, compliant buying decisions while reducing manual workload, with reports of fewer errors, improved efficiency and stronger user feedback during the test.

Atlassian deployed Rovo Dev (its in-house AI developer agent) as the automated first reviewer on every PR in early 2025 — cut internal median PR cycle time 45% (over a full day) and shrank the 18-hour wait for first review comment to zero; new engineers using Rovo Dev merged their first PR 5 days faster. In customer beta, Rovo Dev cut customer PR cycle time 32% (4.18 → 2.85 days).

Regis, one of Australia's largest aged care providers, deployed AI to automate administrative paperwork for care staff, freeing frontline workers to spend more time with residents. The deployment addresses chronic administrative burden in aged care that contributes to staff burnout.

Suncorp, the Australian insurer headquartered in Brisbane, has announced it will deploy five AI agents to handle various sub-processes within its insurance claims workflow by the end of this month. AI practice executive Kranthi Nekkalapu disclosed the deployment at the Databricks Data+AI Summit in San Francisco, noting that claims processes are inherently complex workflows well-suited to agentic automation. The five agents will use an OTel collector on Databricks to send traces from agents and workflows across all platforms in real time. Suncorp has assembled a controls library of about 100 different controls across different types of AI applications and risk profiles. Human review remains mandatory for claims where agents flag a rejection decision.

Commonwealth Bank of Australia deployed an agentic AI system to detect emerging fraud patterns, monitoring 80M+ daily signals. The system contributed to a 20%+ drop in fraud losses in H1 FY26 and updated 75% of card fraud rules automatically.

Atlassians Rovo Dev code reviewer, an AI-driven pull request reviewer, improved developer productivity at Atlassian by 30.8%, measured by faster PR turnaround. The agent proactively catches quality, security, and performance issues early in the development cycle, complementing human reviewers and reducing rework across the engineering organization.