Three Questions Every Leader Should Ask About AI
The three questions that close every discovery conversation I have about AI: where the hours actually go, which decisions genuinely need human judgement, and whether you could write down what your brand stands for on one page. None of them are about technology.
A System That Remembers Is a System That Improves: Building AI That Learns From Feedback
AI that learns from feedback is not fine-tuning. It is memory. Here is how a feedback loop works in practice, how agent memory changes behaviour, and where it goes wrong, with a first-party example of an agent that refused a trade because of what it remembered.
The Human Ceiling: Why Your AI Is Only as Good as Your Direction
The human ceiling caps AI value at the quality of your direction. The 4 human constraints, and how mid-market SMEs lift the ceiling on agentic AI.
Will Agentic AI Replace Your Marketing Team or Unlock Capacity?
AI augmentation vs replacement in marketing: why automating tasks expands the work rather than ending jobs, and how a mid-market leader should think about capacity.
Human in the Loop: AI Under Your Control
Why the best AI keeps humans in the loop, and why the worst doesn't. The patterns that protect quality without slowing operations down.