A California-based custom manufacturer with 40,000 SKUs and a 70-year operating history came to Remix Partners after hitting the ceiling of what their internal team could build. Their RFQ process was deeply manual — engineers printed specs from legacy software, manually re-entered data into a second system, advanced a bill of materials by hand, and generated quotes through constant back-and-forth with customers. Their target of 48-hour RFQ turnarounds was almost never achieved.
Remix Partners built a Claude Code workbench for a 70-year-old California custom manufacturer with 40,000 SKUs, using their GenAI Kickstart discovery process before writing a line of code. The workbench ingests RFQs, compares them against all prior parts, generates draft bills of materials, converts them to price quotes, and takes a first pass at production drawings — deployed in 3.5 weeks.
Remix Partners started with their GenAI Kickstart process — structured discovery interviews with engineers, operations leads, and the executive team to map the quoting workflow and identify the highest-leverage friction points. One finding stood out: the legacy software system produced proprietary output that was unreadable by other systems, making automation impossible until that was solved.
Their first move was converting the legacy system’s output into JSON — a foundational unlock that made every downstream automation step possible. From there, over 3.5 weeks, they built a Claude Code workbench covering the entire RFQ-to-production workflow: the system ingests an incoming RFQ, compares it against all 40,000 prior parts the company has manufactured, generates a draft bill of materials, notifies team members, converts the draft BOM into a price quote, and takes a first pass at production drawings. Custom AI validation flags specification conflicts before they reach the manufacturing floor.
Engineers no longer start from scratch — they review and refine a 90% complete draft, freeing experienced staff from routine documentation for the complex, high-value designs where real competitive differentiation lives. Projected outcome: 60–70% reduction in engineering time per customer order.
A wind power operator lost hundreds of thousands annually to technicians arriving without parts and searching manuals on-site. Sudolabs built a mobile AI app pre-diagnosing failures from IoT data — cutting maintenance time 40% and recovering full ROI within one year.
A $40B PE firm’s AI tools sat unused at 5% daily adoption. Every redesigned actual workflows — not just training — across deal teams and back office, lifting usage to 50%+ and reclaiming hundreds to thousands of hours across the firm.
A California custom manufacturer with 40,000 SKUs had a fully manual RFQ process, rarely hitting 48-hour targets. Remix Partners converted legacy output to JSON and built a Claude Code workbench in 3.5 weeks; engineers now review a 90% complete draft.