Notes
Short notes on what actually works when you put AI into insurance and other places where mistakes cost money. Most link back to a project.
More buyers ask an AI assistant instead of searching. Here is how I check in twenty minutes whether the assistants know you exist.
Most companies buy the wrong first AI engagement. The real question is what kind of evidence you need next.
The real question isn't who runs the kickoff workshop. It's who owns accuracy, latency and governance after it.
Underwriters don't need a clever model. They need to see where every extracted value came from.
Fast ML-augmented rating only works when actuaries own the bounds.
AI assistants need live facts, not stale training data. One hosted MCP server fixes that for Estonian public data.