Insights
Product, design, AI, and engineering perspectives from our team.
AI in Superannuation: Member Services, Fraud & APRA Reporting
A vertical guide to where AI is genuinely being applied across Australian superannuation funds — member servicing, fraud and scam detection, and APRA regulatory reporting — and the governance questions trustees need to answer first.
Digital Twins for Manufacturing and Logistics in Australia
Digital twins let manufacturers and logistics operators simulate changes safely and cut downtime — but only once the right sensors and data infrastructure are in place. Here's what Australian operators need before a twin becomes viable, and where AI fits in once it is.
Real Options Thinking for Technology Investment Decisions
Fixed ROI models break down when applied to AI pilots and platform rebuilds, because they demand precision at the point of maximum uncertainty. This article sets out a real options framework that lets CTOs and CFOs approve staged technology investment without a single, unreliable upfront ROI number.
AI for Insurance and Insurtech: A Practical Guide
A practical look at where AI genuinely fits in insurance and insurtech — underwriting support, claims triage, and fraud detection — and the data quality and explainability obligations Australian insurers need to get right first.
Enterprise AI Chatbots in 2026: Build vs Buy
Enterprise chatbots in 2026 aren't a simple build-vs-buy call — managed platforms like Google's Gemini Enterprise Agent Platform now handle session state, RAG and governance out of the box. We break down when buying wins, when custom builds win, and the mid-market sweet spot in between.
Agentic AI vs RPA: Workflow Automation for Professional Services
RPA breaks the moment a contract, ledger discrepancy, or compliance document doesn't fit the script. Agentic AI handles the judgment-heavy, exception-prone work in between — with human approval gates and audit trails built in, not bolted on.
AI for Australian Manufacturing: 5 Use Cases That Work
Australian manufacturers are deploying production AI across five use cases today: predictive maintenance, computer vision quality inspection, document AI for compliance, demand forecasting, and procurement automation. This practitioner overview covers what makes each use case work in production — and where each one fails — for CTOs and engineering leaders evaluating where to start.
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.
AI Product Strategy: A Practical Guide for Australian Companies
A practical guide to AI product strategy for Australian mid-market companies — covering frameworks for identifying AI value, structuring a strategy engagement, common failure modes, and what to look for when selecting an external partner.