Insights
Product, design, AI, and engineering perspectives from our team.
AI Consulting Pricing: Fixed Price vs Time & Materials vs Retainer
Understanding AI consulting pricing models helps you choose between fixed price certainty, time & materials flexibility, or retainer continuity. Australian market ranges from $30,000 proof-of-concepts to $800,000+ platform builds.
The Strangler Fig Pattern: Modernise Legacy Apps Without Rewrites
The Strangler Fig pattern lets you modernise legacy applications gradually by routing traffic to new services while keeping old systems running. This approach reduces risk compared to complete rewrites while delivering value incrementally throughout the migration process.
AI Consulting vs In-House: When to Outsource vs Build Your Team
Choosing between AI consulting and building an in-house team depends on your timeline, budget, and strategic priorities. Most successful AI adoptions use a hybrid approach: consultants for initial development and knowledge transfer, followed by internal teams for ongoing evolution.
RAG vs Fine-Tuning: When to Use Each (And When You Don't Need Either)
RAG and fine-tuning serve different purposes in LLM deployment, with distinct cost, performance, and maintenance profiles. Most organisations jump to complex solutions when simple prompt engineering would suffice.
AI Agents That Work: Architecture Patterns for Multi-Agent Systems
Multi-agent AI systems are becoming production reality for Australian enterprises, but most implementations fail due to poor architecture choices. Learn the orchestration patterns, communication protocols, and error handling strategies that separate proof-of-concept demos from production-ready systems.
MLOps Explained: How Production AI Stays Reliable After Launch
MLOps ensures AI models remain accurate and reliable in production through continuous monitoring, automated retraining, and governance frameworks. Learn how to detect model drift, implement monitoring pipelines, and build automated retraining systems that keep production AI performing at peak effectiveness.
How to Implement AI in Your Business: A Guide for Australian Companies
A comprehensive implementation guide for Australian businesses looking to adopt AI. Covers the complete journey from discovery through operations, including team structure, budget planning, and regulatory considerations.
Building Production RAG Systems: Beyond the Demo to Reliable Scale
Most RAG demos work beautifully with perfect documents and cherry-picked queries. Production RAG systems face messy reality — document diversity, edge cases, and 99%+ accuracy expectations that require systematic engineering across chunking, embedding, retrieval, and monitoring.
What Is an AI Agent? A Plain-English Guide for Business Leaders
AI agents are software that perceive their environment, make decisions, and take action independently — going beyond chatbots and automation to handle complex business processes. This guide explains how they work and where they create real business value.