Insights
Practical, engineering-led writing for Australian businesses deciding what to build with AI and how to build it, from the small senior team that ships the systems.
- Small senior team that does the work itself
- Case studies with client-reported outcomes
- Two free conversations before any paid stage
Guidance you can act on before you spend
Most writing about AI in business is a product pitch or a forecast. We write about the decisions in between: whether a job needs an agent or a scheduled script, why a working demo is still far from production, and what a credible partner should show you.
Claims rest on systems we have built and outcomes clients have reported. Where the honest answer is "it depends", we say what it depends on. The five-stage model that shapes the advice is described under how we work.
How a topic earns a place here
- A buyer faces it before spending
- The answer changes what you build, buy or defer
- We can back it with shipped work
- It involves a trade-off worth stating plainly
Latest articles and reports
Written for the person making the call. Both 2026 research reports were published in September.
AI agents vs traditional automation: which fits the job?
Agents are the expensive option for jobs a rule, a queue and a scheduled function already handle. Five questions that decide when the model belongs in the loop.
Compare agents and automationAI proof of concept vs production: why most demos never ship
A demo runs on curated examples with nobody watching the bill. What production adds: real data, evaluation, cost at load, security, integration and ownership.
See what production addsHow to evaluate an AI development company in Australia
Nine questions that show whether a company can ship what it proposes: who owns the IP, how quality is measured, and who is actually in the repository.
Get the nine questionsAustralian AI development cost report 2026
What a production AI system costs to build and run in Australia: indicative build ranges by system type, model API and AWS Sydney prices in Australian dollars, and upkeep and talent costs. Each figure is cited or labelled as a ComplxAI indicative range.
Read the cost reportState of AI development in Australia 2026
Where Australian organisations are with AI: adoption and depth of use, what they build, how the build-or-buy call is made, which models can be run from Australia, skills, budgets, barriers and regulation, with sources cited.
Read the State of AI report ToolsCalculators
Rough numbers before a conversation: a project cost calculator for scoping an AI build, and an ROI calculator for weighing up automation.
Try the calculatorsTopics we cover
Each maps to a service we deliver, so the reading and the work come from the same people.
- AI engineering
- Retrieval, evaluation, observability and secure deployment: the work between a demo and a system you can run. See production AI engineering.
- AI agents
- When an agent earns its place, and how approval steps and audit trails are designed in. See AI agent development.
- AI products
- Turning a model-backed feature into a product customers pay for, inference bill included. See AI product development.
- AI consulting and strategy
- Scoring use cases by impact, effort and risk, and making the build, buy or defer call early. See AI consulting in Australia and AI strategy.
- AWS and cloud
- Serverless and event-driven architecture, infrastructure as code, and platform choices that keep AI affordable to run. See AWS consulting.
Read first, then talk it through
Bring the question an article raises about your own systems to a free 30-minute intro call. Every paid stage is priced in writing before it begins.