Remix Partners identified that the client's core obstacle wasn't ambition — they had already built Gemini-based internal tools — it was data access. The legacy software produced proprietary output formats that no downstream system could read. The first and most critical step was converting that output to JSON, which made 40,000 SKUs and decades of manufacturing data machine-readable for the first time. That single transformation unlocked a cascade of downstream automation. Remix Partners then built the AI workbench inside Claude Code over 3.5 weeks. The workbench receives an RFQ, compares it against the full catalog, generates a bill of materials, notifies the right internal stakeholders, converts the BOM to customer-ready pricing, and produces a first-pass manufacturing drawing — all before a human reviews it. The engineers who had been skeptical about AI's applicability to their specific process became the project's loudest advocates once they saw the prototype operating on their own data.