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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Knowledge centralized in Notion
Mercari consolidates scattered information into a single document management platform so that context can be easily retrieved at any time.
Tools used
NotionCursorClaude Code
Outcome
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.
What failed first
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.