Case Records

These companies have already turned valuable experience into AI Agents that work alongside them

Over 200 companies, more than 10,000 AI Agents, and 5,000 weekly active users. Here are a few of the places where know-how became a company asset.

01Shin Zu ShingPrecision machinery · Hinge bearingsThe world’s largest supplier of laptop hinge bearings deployed dozens of AI Agents across departments in three months. One Agent alone returns close to NT$850,000 a year.NT$850KAnnualized ROI from a single Agent

02TEXRAYTextiles · Functional fabricsMCP lets the AI read from and write to internal systems. Fabric inspection reports went from an hour to a few minutes, and cross-border shipping documents no longer need checking by hand.40+Agents built in-house in three months

03SPEC ProductsMetal fastenersSPEC Products, 24 years in metal fasteners, cut mold design from 3 days to a few hours and pushed annual revenue past NT$2.4 billion while the screw business was in a slump.3 days→hoursSpecial-spec checks and mold design

04FINE BLANKING & TOOLAuto parts · Precision stampingTaiwan’s largest maker of stamped parts brought AI into inventory analysis and purchasing reconciliation, and kept its know-how as an AI SOP of its own.Hours→minutesReport compilation

05CAMA CAFEFood and beverage chainA coffee chain with more than a hundred stores built over 30 AI Agents in a month, so that the experience of experienced staff no longer leaves when they do.30+Agents built in one month

06HOPAXChemicals · Specialty chemicalsFrom tacit knowledge held by experienced staff to an AI SOP the whole company can reuse. HOPAX has rolled it out to 75% of its departments and saves more than 200 hours a month.200+ hoursSaved every month

07NEW WIDE GROUPTextiles and apparel · Overseas plantSeven days of hands-on training at the Phuc Dong plant in Vietnam: 60 employees from across departments created more than 20 AI Agents together, saving over 2,000 hours a month.2,000+ hoursSaved every month

EgentWrX and the companies rolling out human-AI collaboration

Across textiles, fasteners, precision machinery, chemicals, auto parts, electronics, food chains and the public sector.

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