Insights
Product, design, AI, and engineering perspectives from our team.
Building a Technology Team from Scratch: A Founder's Guide
Building your first technology team is critical for startup success. This guide covers hiring sequence, team structure, build vs outsource decisions, and establishing the right culture from day one.
Technology Due Diligence: What to Assess Before Acquiring a Software Company
Technology due diligence determines whether a software company's technical assets support acquisition goals. Poor technical assessment can turn promising deals into expensive integration challenges.
dbt for Mid-Market: Modern Data Transformation at Scale
dbt brings enterprise-grade data transformation to mid-market companies without the enterprise complexity. Learn how to implement modern data practices that scale with your business, when dbt makes sense, and practical steps for getting started.
Technical Debt and AI: Building Intelligence on Solid Ground
Technical debt becomes exponentially more expensive when you layer AI on top of it. Legacy systems that barely support current operations will buckle under AI's computational and data demands.
AI in Australian Healthcare: Clinical Support and Administration
AI in Australian healthcare augments clinical expertise and streamlines administration while maintaining regulatory compliance. Success requires structured implementation addressing technical, clinical, and TGA regulatory requirements.
AI for Retail: Personalisation, Inventory, and Customer Intelligence
Australian retailers are using AI to solve real business problems: personalisation engines that increase conversion, inventory optimisation that reduces waste, and customer intelligence that drives strategic decisions. This guide explores practical applications beyond the hype.
AI Governance for Australian Businesses: What You Need to Know in 2026
AI governance is shifting from optional to essential for Australian mid-market companies. With evolving regulations and growing compliance pressures, establishing proper frameworks for safe, ethical AI operations has become a business imperative.
LLM Prompt Engineering for Enterprise: Beyond Basic Templates
Enterprise LLM applications demand sophisticated prompt engineering beyond basic templates. Learn advanced techniques including few-shot learning, chain-of-thought reasoning, structured outputs, and dynamic context injection for production systems.
Model Retraining: Keeping Production AI Current in Australian Business
Machine learning models degrade over time as customer behaviour shifts and market conditions evolve. This guide explores when to retrain models, how to detect performance drift, and strategies for deploying updated models safely in Australian business environments.