Why is this course a must for manufacturers? For manufacturing, AI isn't about "good enough to use"—it's about "can't afford to be wrong"

• Zero-error pressure: scheduling mistakes, quality-control misjudgments, and missed deadlines—once AI gets it wrong, it means cost and customer complaints.

• Black-box risk: why did the AI make that judgment? If it can't be traced, you can't answer to your customers or your own team.

• The tool-failure cycle: when ERP / CRM / BI implementations fail, the root issue isn't the tool but a lack of process design and acceptance-testing capability.

After this course, you'll come away with

✅ AI that's controllable (not a black box)

✅ Traceable processes (every step has a log)

✅ Verifiable decisions (someone is accountable)

Course Positioning Course Objectives

This is a hands-on course designed specifically for non-technical business owners, managers, and administrative staff. We put AX Academy's enterprise-transformation methodology into practice with the Open WebUI (OpenGenie) tool. We don't just teach you AI chat—we teach you how to build a company-exclusive AI system where "data never leaves home," with access control and knowledge retention built in.

Why is this course a must for beginners and managers alike?

• Zero security risk: learn the logic of on-premises private deployment so confidential documents like contracts and financial reports never flow to third-party servers.

• Zero communication barrier: the interface is as friendly as ChatGPT, so your whole company can get up to speed painlessly.

• 24h post-course teaching assistant: after the course, you get an AI teaching assistant based on the course content to answer your hands-on questions anytime.

Course Structure

Five Core Tasks

1. AI Literacy and Manufacturing Risk Principles (AX L0–L1)

• A guide to avoiding pitfalls in enterprise AI adoption:Why can't manufacturers use ChatGPT directly for decision-making?

• Building a zero-error mindset:Understand the risks of AI hallucinations in quality control, scheduling, and customer service

• AI collaboration fundamentals:Establish enterprise AI usage guidelines and risk awareness

2. Process-Design Thinking × Getting Started with n8n (L1–L2)

• Visual process design:Use n8n to build enterprise processes (Trigger / Logic / Output)

• Low-code in practice:Complete automation-process design without writing code

• Process standardization:Turn experience into a "repeatable process"

3. Automating Sales Data and Reports

• Data integration:Read from Excel / Google Sheets

• AI auto-summary:Generate sales analysis and market insights

• Automated report delivery:Build automated workflows for weekly / monthly reports

4. Hands-On Sales-Process Automation (Core)

1️⃣ Automated reporting flowData → AI analysis → automatic output

2️⃣ Customer-service intent classificationCustomer message → AI interpretation → automatic classification

3️⃣ Performance anomaly alertsData anomaly → AI judgment → real-time notification

5. Controllable AI Architecture (Harness) and Governance Mechanisms

• Logging mechanism:Every AI decision step is traceable

• Human-in-the-loop：Introduce human confirmation for key decisions

• Decision-accountability design:AI assists, but accountability remains clear

Course Highlights

✅ AI design built specifically for manufacturing (not a generic course) ✅ A controllable AI architecture (rare in the industry) ✅ Take home three hands-on automation workflows ✅ Visual operation (zero coding barrier) ✅ The AX maturity model (with a clear upgrade path)

Learning Outcomes

1. Master process-automation skills:Design n8n automation workflows independently

2. Build AI application capabilities:Let AI assist with report analysis and decision support

3. Build a controllable AI system:Equipped with logging, acceptance-testing, and governance capabilities

4. Take home an enterprise adoption blueprint:An AI adoption path from L0 → L2

Who Should Attend

• Manufacturing managers / owners:Want to adopt AI but don't want to hit pitfalls

• Sales / marketing staff:Need automated reports and customer analysis

• Information / IT departments:Responsible for enterprise systems and process integration

• Administration / PM:Want to boost efficiency and reduce manual work