Insights
Thinking you can use before you hire anyone.
Written to demonstrate how we think, not to chase search traffic. Four pillars: AI economics, strategy, engineering and adoption.
AI Economics
ROI, cost modelling, build versus buy.
AI Strategy
Roadmaps, prioritisation, moving beyond pilots.
AI Engineering
RAG, agents, model selection, evaluation, architecture.
AI Adoption
Governance, security, organisational change, measuring outcomes.
- AI Economics
How to calculate AI ROI without fooling yourself
A practical method for building an AI business case that includes the costs most projections leave out, and survives a CFO's questions.
· 8 min read
- AI Economics
Build, buy or configure AI: choosing the right path
Why the answer is usually different for different use cases, and the commercial test we apply to every option.
· 6 min read
- AI Strategy
Moving beyond random AI pilots
Why so many organisations have a portfolio of pilots and nothing in production, and how to fix it.
· 7 min read
- AI Engineering
Right model, right use case, right economics
Frontier models, small models, classical machine learning or no model at all: how we decide.
· 7 min read
- AI Engineering
Evaluation and observability for AI in production
Language model systems drift silently. Here is how to build the measurement that catches it.
· 6 min read
- AI Adoption
AI governance that fits your organisation
Proportionate governance for Australian organisations: enough control to say yes with confidence, not so much that nothing ships.
· 7 min read
Prefer to talk it through?
An advisor can discuss how any of this applies to your organisation. No pitch, no obligation.