Insight
Field notes on building and governing AI.
Short, practitioner pieces on the gap between what is written down and what runs.
Governance
AI fails in production, not on paper
Most AI governance stops when the policy is signed. The risk starts there. Three reasons programmes stall, and what governance that actually operates looks like.
Implementation
What happens the day the consultants leave
Most platform migrations look finished and are not. The difference shows up in production, in what is still running, and who can run it, a year later.