Navigating Australia's privacy framework when implementing AI — what the law requires and how to build compliant systems.
Australian privacy law applies to AI systems that collect, use or disclose personal information. For businesses covered by the Privacy Act 1988 (most businesses with turnover over $3M, plus others in regulated sectors), AI implementation requires careful privacy analysis at every stage.
The 13 Australian Privacy Principles (APPs) create specific obligations for AI systems:
The best approach to AI privacy compliance is building it in from the start — not bolting it on after. This means:
The Privacy Act amendments proposed by the Australian Government will strengthen obligations around automated decision-making by AI. Businesses implementing AI now should design for these stronger requirements — it's more efficient than retrofitting compliance later. We help clients navigate both current and anticipated future privacy obligations.
We deploy commercially available AI products. We don't build bespoke AI, and we don't run standalone training workshops.
A structured planning engagement producing a prioritised 12–24 month roadmap of commercial AI products to adopt, in what order, at what cost, and with what expected outcomes.
Our core service. We select, deploy, configure, and integrate commercially available AI products — Microsoft 365 Copilot, ChatGPT Enterprise, Claude for Business, Gemini, Salesforce and HubSpot AI features — into your existing systems. We do not build custom AI.
Workflow automation using commercial platforms — Zapier, Make, n8n, Power Automate — often with AI steps included. Scoped, built, tested, and handed over with documentation.
A monthly retainer for ongoing support of your deployed AI stack. Delivered predominantly by our own AI assistant with human escalation. From $500/month.
A free, no-obligation discovery call to understand your business, identify where AI can help, and explore what working together might look like.
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