AI sprawl: why AI capability gets fragmented inside organisations

Most organisations did not plan how they would use AI. People adopted Claude, ChatGPT, Cursor and a handful of MCP connectors because the work demanded it. The result is AI sprawl: useful skills and ways of working stay with whoever created them, and nobody can see the whole picture.

What fragmentation looks like

• Two people solve the same SEO or client workflow with incompatible prompts.

• An MCP server is connected on one laptop and invisible to everyone else.

• New starters ask how the team uses AI and get five different answers.

• Sensitive tools are either shared too widely or never documented.

A catalogue is not a proxy

The missing piece is rarely another gateway for live traffic. It is an inventory: which MCP servers exist, which tools they offer, which skills and prompts make them useful and who may see them. Joyst is built to solve that problem. It is a governed catalogue that works alongside the agents you already run.

Where to start

If you are mapping this for your team, begin with the MCP servers you already trust, the skills people already paste into chats and the groups that should own each area. Then add a publishing step for the skills that matter. See also our approach to AI governance.