Insights
Product, design, AI, and engineering perspectives from our team.
Data Lineage and Cataloging: Trustworthy, Discoverable Data
Data lineage and cataloging are the unglamorous foundations that make AI and self-serve analytics trustworthy. This guide covers what to build, in what order, and how the Australian Privacy Principles shape the work.
AI in the Australian Public Sector: Procurement Realities
Deploying AI in the Australian public sector means navigating procurement panels, the Australian Privacy Principles, data sovereignty requirements, and algorithmic accountability obligations — all before a model runs in production. This post outlines the practical realities for technical leaders working inside or alongside government agencies.
AI in Australian Financial Services: Risk and Compliance
AI offers Australian financial services firms real capability in fraud detection, compliance automation, and customer operations — but only when deployed with a clear view of APRA, ASIC, and Privacy Act obligations. This article covers the primary use cases, the regulatory landscape, and the technical foundations required to get AI into production in a regulated environment.
AI in Australian Professional Services: Legal and Advisory
Mid-market Australian law firms, accounting practices, and advisory businesses are applying AI to document review, research, and client delivery — but the gap between a demo and a production system that handles client data responsibly is significant. This article covers practical use cases, Australian Privacy Principles obligations, and how to think honestly about ROI without overclaiming.