Insights
Product, design, AI, and engineering perspectives from our team.
Fractional Head of Data: Leadership Without a Full-Time Hire
Growing organisations often need senior data leadership before they can justify — or fill — a full-time hire. This guide covers what a fractional Head of Data does, when it makes more sense than a permanent hire, and how it complements existing engineering teams.
AI Localisation Architecture for APAC Market Expansion
Expanding into New Zealand and APAC takes more than a translation layer. This guide walks through the architectural decisions — retrieval, data structure, model selection, and locale-specific UX — that determine whether a multi-language AI rollout scales cleanly or needs a rebuild.
When to Renegotiate Software Contracts During Rapid Growth
Renegotiating a software contract during a growth phase is about timing and leverage, not just price. This guide covers the triggers that should prompt a renegotiation, the 90–120 day window that preserves your leverage, and how to tell a commercial fix from a genuine modernisation need.
Shadow AI Usage Policies: A Guide for Tech Leaders
Unsanctioned AI tools are already inside your engineering and product teams, whether or not anyone has approved them. Here's how technology and business leaders can identify shadow AI use and build governance that reduces risk without killing productivity.
Engineering Documentation That Survives Team Turnover
As engineering teams scale, critical system knowledge often lives in one person's head. This guide covers how architecture decision records, runbooks, and onboarding documentation reduce single points of failure and keep knowledge inside the organisation.
Cyber Insurance for AI Products: What's Covered, What's Not
Cyber policies generally cover AI-related security incidents but often exclude model performance failures like hallucinations or biased outputs. Here's how CTOs and business leaders should map that gap with their broker.
Usage-Based Billing for AI SaaS Features: A Metering Guide
AI features have volatile unit economics, and billing is often built last. This guide leads with what usage-based billing actually is, then covers metering architecture, pricing model trade-offs, and margin protection for AI SaaS features.
Data Clean Rooms for Regulated Australian Industries
Data clean rooms let regulated Australian organisations run joint analysis with partners without exposing raw records. Here's how the architecture works, and when it's worth the investment over a simpler data-sharing agreement.
Healthtech Interoperability Standards for AI in Australia
A practical guide for technical leaders building AI features on Australian clinical data — covering FHIR, My Health Record integration, ADHA standards, and where TGA regulation applies before deployment.