Insights
Product, design, AI, and engineering perspectives from our team.
Legacy System Modernisation: A Phased Roadmap
Legacy system modernisation doesn't have to mean choosing between a risky big-bang rewrite and years of technical debt. This guide sets out a phased, strangler-fig roadmap with funding gates, risk controls, and how AI-assisted code understanding changes the economics of the assessment phase.
MLOps Consulting: What Australian Mid-Market Teams Actually Need
Enterprise MLOps advice rarely fits a mid-market team running a handful of models with a small data team. Here's what a right-sized MLOps consulting engagement covers — minimum viable stack, build-vs-buy tooling, team shape, and a maturity model.
AI Security Review: Threat Modelling LLM Apps Before Launch
A practical, pre-launch framework for threat modelling LLM applications — prompt injection, tool-use data exfiltration, RAG poisoning, and tenant isolation — mapped to OWASP's LLM Top 10 and Australian privacy obligations.
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.
Application Modernisation in Australia: The Complete 2025 Guide
A practical guide to application modernisation for Australian engineering leaders — covering patterns like strangler fig and re-architecture, architecture maturity trade-offs, and Australian-specific context including the Essential Eight and Hosting Certification Framework.
Planning an AI Engagement: What Production Delivery Requires
Before committing budget to an AI initiative, it's worth agreeing on what production-grade delivery actually means. This guide covers the standards worth setting for any AI engagement — from production track record to MLOps planning and IP ownership.
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 Consulting Melbourne: How to Evaluate an AI Consultancy
Evaluating an AI consultancy in Australia comes down to a few concrete questions: who actually does the work, do they have production deployments, and can they speak to Australian Privacy Principles compliance. This guide gives business leaders a practical framework for assessing fit, asking the right questions, and understanding how mid-market AI engagements are typically structured.
Fractional CTO Services in Melbourne and Australia
A fractional CTO is a senior technology executive who works with your business on a part-time retainer basis — providing strategic leadership and architecture oversight without the cost of a full-time hire. This guide covers how fractional CTO engagements work in the Australian market, what they typically cost, and how to decide whether one is right for your business.