Insights
Field notes from the AI work, not the AI hype.
Practical writing on AI strategy, governance, build, and operate work, drawn from the engagements we run with established Australian businesses. No vendor pitches. No generic frameworks lifted from US slide decks.
Managed AI Services
Managed AI Services: The Operate Phase Nobody Plans For
Most AI investment goes into build. Most AI value comes from operate. The disconnect is one of the largest sources of disappointment in mid-market AI programmes.
AI Product Development
Shipping an AI Product: What Changes When the LLM Goes to Production
AI products do not behave like software products. They are stochastic, they drift, and the cost of being subtly wrong is far higher than the cost of being clearly broken.
Workflow Automation
Workflow Automation in 2026: Where AI Pays Back Fastest
Workflow automation has been around for thirty years. AI did not replace it. It deepened it, by handling the messy, semi-structured, judgement-heavy work that used to defeat rules-based systems.
AI Agent Development
AI Agents That Earn Their Keep: A Field Guide for Production
Most AI agent demos look impressive. Most AI agents in production are unrecognisable from the demo. The work between is where the value lives.
AI Governance and Policy
AI Governance for Australian Boards: Beyond the Policy PDF
An AI policy PDF is the easiest deliverable in this space. It is also the most useless, because nothing in the business changes when it is signed. Real AI governance is operational.
Data Strategy and Foundations
Data Strategy for AI: Why Most Initiatives Stall in Discovery
Three out of four AI initiatives that stall in our experience stall in data, not in modelling. The data is messier, more fragmented, or more constrained than the strategy assumed.
AI Strategy and Roadmap
Building an AI Strategy That Survives the First Quarter
Most AI strategy decks die quietly within ninety days of the readout. They are not wrong, exactly. They are just not designed to survive contact with operations.
AI Readiness Assessment
AI Readiness Assessment Australia: What Actually Gets Audited
Most AI readiness assessments end up in a drawer. The ones that do not have three things in common: they audit the operation, not the lab, they rank against commercial impact, not novelty, and they tell the leader what to stop doing as well as what to start.
Next step
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