AI adoption
AI adoption starts with the work.
Before choosing a model, understand the task, the people doing it and the standard a useful result must meet.
Insights
Notes from the space between.
Practical perspectives on adoption, enablement and the conversation between technical teams and business users.
Technical communication
Make the technical decision clear.
Technical depth becomes more useful when people can understand the choice, its consequences and what happens next.
Technical enablement
Enablement continues after the launch.
A course, a demonstration and a useful reference do different jobs. Connecting them helps people put knowledge into practice.
These are perspectives and working principles, not claims of measured customer outcomes. Technical examples are illustrative unless explicitly identified as a described project.
The next conversation
Let’s find the useful question.
Open to opportunities where technical understanding meets customers, teams and business.