The bigger the gap, the smaller the pitch
We pitched the destination. Most firms needed a doorway. Why the gap between what frontier AI can do and what regulated firms can absorb is widening, and what to sell instead.
Short-form writing on Claude implementation, insurance AI, governance and the ANZ market. Written for executives and technical leaders making practical decisions.
We pitched the destination. Most firms needed a doorway. Why the gap between what frontier AI can do and what regulated firms can absorb is widening, and what to sell instead.
When MCP first shipped, the spec ran ahead of the implementations. Claude Code made me more sceptical. Claude Cowork changed my mind - and made remote MCP the right layer to build on for regulated businesses.
Capture and curate every conversation and decision in your business, and you end up with something approaching a company brain. For regulated firms, that destination is downstream of plumbing most haven't built yet.
Six months building an AI workflow product with a commercial insurance design partner taught us that messy unstructured data was the right target - but the application layer was about to be absorbed by the platforms. Why we changed direction.
Two weeks. A board-ready Claude implementation plan.