AI GOVERNANCE IN DESIGN TOOLS: WHAT HAPPENS TO YOUR DATA WHEN AI ENTERS THE WORKFLOW

Summary from the TLDR Design newsletter

AI governance frameworks bring documentation, traceability, and accountability to AI features embedded in design tools. Building a framework involves defining scope and owners, classifying design data, standardizing vendor evaluation, and embedding controls into workflows and CI/CD processes. Penpot positions itself as a governance-friendly alternative through self-hosting, open file formats, and its MCP server, letting organizations control AI models and data flows on their own infrastructure.