Field notes from
applied AI.
Practical thinking from the work: AI strategy, deployment, operating design and what established Australian businesses can do with the technology now.
The AI implementation gap is now the strategy
The models are becoming easier to access. The advantage is moving into workflow design, context, integration and adoption.
Why the first workflow matters more than the first model
The best first AI project is not the most impressive demo. It is the workflow that proves value and teaches the organisation how to deploy.
A practical AI operating system for a 50 to 500 person business
A simple structure for finding opportunities, deciding what to build and keeping implementation connected to commercial outcomes.
The hidden cost of work around the work
Admin, re-keying, chasing, summarising and reconciling are often where the first AI returns are hiding.
AI adoption is an operating design problem
Training matters, but adoption accelerates when the workflow itself makes the new behaviour the obvious behaviour.
Build once. Learn once. Compound everywhere.
The first implementation should create reusable context, patterns and capability that make the next implementation faster.