The Thinking
What happens after we decide AI is capable.
Because increasingly, capability is not the difficult part. The difficult part is working out what the organisation should do with it.
As AI becomes easier to access, people who were once technology users are becoming builders. Agents can move from an experiment to part of a business process surprisingly quickly. The cost of AI can change with usage. Human oversight becomes less straightforward as autonomy increases. And something that looked valuable in a pilot can look quite different once the full cost and complexity of operating it are understood.
These are the questions I write about. They sit somewhere between technology, people, governance, economics and organisational design. Which is also why they are interesting.
The foundational idea
3 Principles
Have we designed something people would naturally choose to use?
Read the article →Have we intentionally designed something people can confidently rely on?
Read the article →Have we designed something that measurably improves the organisation?
Read the article →The series
Articles
Technology creates capability. The organisation around it determines whether that capability becomes value.
Read the article →Design the non-negotiables before you build the solution. Review doesn’t scale. Design does.
Read the article →An AI-enabled organisation isn’t an organisation with more AI. It’s one where AI is designed into the way the organisation operates, alongside its people, processes and technology, to realise value.
Read the article →