Управление изменениями при внедрении AI

★ 6.9 · marketing

ai-change-management is a Claude Code skill that structures the process of adopting AI within an organization — covering readiness assessment, automation ROI calculation, and Human-in-the-Loop workflow design. Before generating output, the skill reads project context from memory.md and knowledge-base.md, then applies frameworks such as AI Readiness Assessment, Automation ROI Calculator, and Responsible AI Framework. The result is a structured Markdown document containing an executive summary, an implementation table with owners and timelines, a risk matrix, and a success-metrics table tracking Time Saved Per Task, Automation Rate, Error Reduction %, Cost Per AI Operation, and User Adoption Rate. It is built for teams rolling out AI tools who need to justify the change to stakeholders and measure concrete outcomes.