by Wayne Pales | Oct 4, 2026
Everyone works in processes. Far fewer people own them. That distinction has become harder for me to ignore as our thinking about AI has matured. When a process is mainly carried out by people, unclear ownership can remain hidden for years. Individuals make...
by Wayne Pales | Oct 2, 2026
Most early AI benefits are described in tasks: draft the email, summarise the meeting, check the document, prepare the report. Those gains are real. I use them every day. But task productivity has a ceiling. If the surrounding process remains unchanged, the...
by Wayne Pales | Sep 27, 2026
For a while, much of the conversation about AI capability centred on prompting. It made sense. Better instructions often produced better results, and prompting gave people a practical way to improve quickly. I no longer think prompting is the scarce...
by Wayne Pales | Sep 20, 2026
AI has an unusual habit. It exposes reality. Point it at a process, and the gaps appear quickly. The documented procedure says one thing, experienced people do another, and the system records something else. A hand-off that looked simple turns out to depend on a...
by Wayne Pales | Sep 13, 2026
When I started thinking seriously about safely scaling AI, I assumed the focus areas would be familiar ones: governance, architecture, security, data and process. I still believe all of those matter. What has changed is my view of what underpins these. My...
