Insights
Product, design, AI, and engineering perspectives from our team.
Technical Debt and AI: Why You Can't Build Intelligence on a Broken Foundation
Technical debt creates specific barriers to AI adoption that many organisations underestimate. Building AI on legacy systems with accumulated debt often results in failed initiatives and wasted investment.
Production AI Agents: Architecture and Deployment Lessons
Production AI agents require careful orchestration, robust failure handling, and strategic human oversight. The gap between proof-of-concept and production-ready agents is significant — here's what actually works.
AI and Intellectual Property: Who Owns What When AI Generates Content?
AI-generated content creates complex ownership questions that traditional Australian IP law wasn't designed to handle. Understanding these challenges is critical for protecting investments and avoiding disputes.
SOC 2 Compliance for AI-Powered Applications: A Technical Guide
SOC 2 compliance for AI applications requires addressing traditional security controls alongside AI-specific risks like model governance and training data handling. This technical guide covers the key implementation strategies for building compliant AI systems.
Securing API Endpoints for AI Applications: OWASP Best Practices
AI APIs require layered security addressing traditional vulnerabilities and AI-specific threats like prompt injection and model extraction. Learn OWASP best practices for protecting endpoints from data breaches and service disruption.
Data Privacy and AI in Australia: Navigating the Privacy Act
The Australian Privacy Act applies to AI systems that handle personal information, creating specific obligations around data collection, consent, and cross-border transfers. Understanding these requirements becomes critical as organisations deploy AI capabilities and navigate upcoming privacy reforms.
AI Security: Protecting Your Models, Data, and Users
Production AI systems face unique security challenges from prompt injection to model theft. Learn how to protect your AI models, data, and users with practical security measures designed for Australian organisations.
AI Development Partnership Guide for Australian Companies
A comprehensive guide for Australian companies evaluating AI development partners, covering essential questions, evaluation criteria, and best practices for successful AI adoption. Learn what to look for when choosing the right AI development partnership.
AI Onboarding: How to Introduce Users to AI-Powered Features
AI feature adoption fails more often from poor onboarding than poor technology. Users need structured introduction to AI capabilities through progressive disclosure, transparency, and realistic expectation setting to drive genuine adoption.