AI Transformation: from POC to scale in 3 steps
In 2026 every CEO is asking "how do we use AI?" — Hongguan walks your team through Discovery → POC → Production Rollout, putting AI to work in your business.
Discovery → POC → Production Rollout
Discovery: identify the high-frequency, repeatable, ROI-positive steps in your processes (inspection / customer service / documentation / scheduling / predictive maintenance).
POC validation: run a 4–6 week minimum-viable pilot and produce an ROI estimate.
Production rollout: expand from a single site to the full plant, with MLOps and data governance.
3 real AI deployments
Auto parts plant — visual inspection: manual inspection escape rate 5%. Open-source vision model + edge GPU box brought it to 0.5%, saving 2 inspectors per line.
Contact center — document Q&A: 200 tickets/day, 60% repetitive. RAG knowledge base reached 92% answer accuracy; first response time dropped from 5 min to 30 sec.
Equipment predictive maintenance: injection-molding machines had 8 hours of unplanned downtime per month. Vibration sensors + time-series models gave 48-hour early warning, saving ¥300k/year in losses.