Mercari's AI-Native Company transformation: ASDD, Knowledge Management, and AI Task Force
Mercari's initial AI Coding Assistant rollout did not deliver the expected productivity gains. Prompt quality varied widely between engineers due to no shared regulation, decision-making context was scattered across Slack, GitHub, and meeting notes, and generated code quality was inconsistent across teams.
When AI Coding Assistants were first deployed company-wide with Cursor, in some cases repeated instructions made the process slower than working without AI. Context needed for AI agents was not collected correctly. When Claude Code and other tools subsequently emerged, engineers began using different tools, making it impossible to consolidate best practices.
Mercari achieved 95% employee AI tool adoption, approximately 70% of code generation handled by AI, and a 64% year-over-year improvement in development speed.
The company launched ASDD as a standardized AI-driven development process and established Notion as a central knowledge base. A 100-person AI Task Force now spans 33 business domains with approximately 4,000 workflows catalogued for AI transformation.
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Frequently asked questions
What did this team achieve with this AI workflow?
Mercari achieved 95% employee AI tool adoption, approximately 70% of code generation handled by AI, and a 64% year-over-year improvement in development speed.
What tools did this team use?
Notion, Cursor, Claude Code.
What results were reported?
employee AI tool adoption: 95%; code generation handled by AI: 約70%; Development speed improvement year-over-year: 64%; engineers using AI Coding Assistant: ほぼ100% (source-reported, not independently verified).
What failed first in this deployment?
When AI Coding Assistants were first deployed company-wide with Cursor, in some cases repeated instructions made the process slower than working without AI.
How is this quality assurance AI workflow structured?
Knowledge centralized in Notion → Agent generates implementation plan → Validation agent checks plan → Agents iterate revisions → Developer consulted on uncertainty.