AI FOR MANUFACTURING: PRACTICAL AI TOOLS FOR DAILY WORKFLOW SIMPLIFICATION

26-27 Oct, 2026, Concorde Hotel Kuala Lumpur

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Learn from the Best

Aeris Chow specialises in helping leaders and managers harness AI as a strategic leadership tool - to make smarter decisions, communicate with authority and develop high-performing teams. As an HRDC Accredited Trainer with an MBA, NLP Practitioner certification and Toastmasters leadership credentials, she brings both academic rigour and real-world corporate experience to every programme she delivers.

With extensive background in manufacturing, international trade and business operations across local and multinational organisations, Aeris understands the real pressures managers face daily. Her courses are built around authentic leadership scenarios - not theory - ensuring every skill is immediately applicable back in the workplace.

Her training is highly practical and results driven. Participants apply AI directly to real management tasks — drafting executive communications, preparing performance conversations, analysing business challenges, making structured decisions and building their personal AI leadership system from day one.

She delivers training in English, Bahasa Malaysia and Chinese, enabling strong engagement across diverse corporate audiences. Her energetic, structured and interactive approach consistently builds leadership confidence and drives lasting behavioural change in how managers lead, decide and perform

Venue Details

Concorde Hotel Kuala Lumpur
2 Jalan Sultan Ismail, 50250 Kuala Lumpur, Malaysia,

https://kualalumpur.concorde hotelsresorts.com/

Phone : 03 2144 2200

Contact us

Juliany,

Office: 03 2283 6109

Mobile: +60 122281247

juliany@ipa.com.my

Phoebe,

Office: 03 2283 6100

Mobile: +60 193637822

phoebe@ipa.com.my

Bee Teng,

Office: 03 2282 6112

Mobile: +60 172566121

beeteng@ipa.com.my

FOR CUSTOMISED IN-HOUSE TRAINING

Jane,

Office: 03 2283 6101

Mobile: +60 129418251

Jane@ipa.com.my

ADDRESS
A-28-5, 28th Floor, Menara UOA Bangsar,
No.5, Jalan Bangsar Utama 1,
59000 Kuala Lumpur
www.ipa.com.my

FOCUSING ON

Module 1: AI Fundamentals for Manufacturing Workplace
Module 2: Practical Prompting Skills for Better AI Outputs
Module 3: AI for Emails and Workplace Communication
Module 4: AI for Reports, Meeting Minutes, Financial Summaries & Management Communication
Module 5: AI for SOPs, Checklists & Knowledge Management
Module 6: AI for Data, KPI & Performance Insights
Module 7: AI for Visual, Presentations & Videos
Module 8: AI for Problem Solving, Root Cause Analysis, Smarter Decision & 30-Day AI Action Plan

COURSE RATIONALE

Manufacturing organisations today are under increasing pressure to improve productivity, reduce delays, control costs, respond faster to customers, and make better decisions across departments.

However, many employees still spend significant time on repetitive administrative tasks such as preparing emails, reports, meeting minutes, SOPs, checklists, KPI updates, data summaries, customer replies, supplier follow-ups, and presentation materials.

This course is designed to help manufacturing employees apply practical AI tools as a daily work assistant to simplify routine tasks, improve communication quality, support problem-solving, and enhance decision-making. The focus is not on technical AI theory, but on practical workplace application that participants can use immediately.

The course covers real manufacturing scenarios across Procurement, Production, Quality Assurance, Sales, Human Resources, Finance, Shipping, Maintenance, Planning, and other support functions. It also addresses high-priority workflows such as finance and budgeting reports, monthly KPI finalisation, sourcing and procurement decision support, business pipeline identification, and product opportunity evaluation.

Participants will be introduced to free AI tools that require no subscription and no IT background. They will also learn how to create short videos for marketing, work instructions, safety communication, and internal training purposes — a practical skill increasingly relevant in modern manufacturing workplaces.

Through hands-on exercises, participants will gain the confidence to use AI to save time, reduce repetitive work, improve work quality, and contribute to a more efficient, responsive, and future-ready manufacturing organisation

AFTER ATTENDING THIS COURSE YOU WILL RETURN TO YOUR JOB…

Understanding the basic concept of AI and how it supports productivity, workflow improvement, and decision-making in a manufacturing environment.
Identifying suitable free AI tools for daily tasks such as communication, reporting, documentation, data summary, problem-solving, visual creation, and video generation.
Applying practical prompting techniques to generate clearer, more accurate, and more relevant AI outputs for workplace use.
Using AI to draft, rewrite, improve, and simplify emails, customer replies, supplier follow-ups, vendor communication and internal messages.
Converting rough notes, meeting discussions, and department updates into structured reports, meeting minutes, executive summaries, action lists, and management updates.
Creating and improve checklists, SOPs, work instructions, FAQs, and department knowledge resources using AI tools.
Using AI to summarise data, identify trends, explain variances, prepare KPI commentary, support monthly reporting, and assist finance or budgeting workflows.
Applying AI-assisted problem-solving and decision-support techniques, including problem clarification, 5 Whys, fishbone analysis, solution evaluation, sourcing research, supplier comparison, and cost benchmarking.
Leveraging AI to create presentation outlines, management slides, posters, short videos, safety reminders, work instruction videos, marketing content, and internal communication materials using free tools.
Developing a practical AI workflow action plan to reduce repetitive work, improve productivity, support responsible AI adoption, and identify new business pipelines, product ideas, or market opportunities relevant to manufacturing

WHO SHOULD ATTEND

This course is suitable for manufacturing employees from the following departments/functions:

Management & Leadership (COO, Director, GM, Manager)
Finance & Accounting
HR & Admin
Purchasing & Procurement
Business Development
Sales & Marketing
Customer Service & Customer Support
Research & Development
QA & QC
Production & Planning
Logistics, Shipping, Warehousing, Supply Chain
Maintenance & Technical
Engineers, Analysts & Professionals
Safety & Environment
IT & Digital Support
Any working adult who wants to improve productivity

METHODOLOGY

This course adopts a practical, hands-on, and beginner-friendly training approach designed for manufacturing employees with no IT background.

The session combines short concept explanations, live demonstrations, guided practice, group discussions, and department-based exercises to ensure participants can apply AI tools confidently in their daily work.

Participants will learn through real manufacturing scenarios involving Purchasing, Production, QA, Sales, HR, Finance, Shipping, Maintenance, Planning, and other key departments. Activities include drafting emails, preparing reports, creating meeting minutes, developing checklists, improving SOPs, summarising data, generating visuals, and solving workplace problems using AI tools. All AI tools used in this course are freely accessible - participants will leave with hands-on familiarity with tools they can continue using immediately after the training at no cost.

The trainer will guide participants step by step on how to write effective prompts, review AI outputs, improve responses, and apply responsible AI practices. Participants will also complete hands-on exercises and a personal action plan to identify specific tasks they can simplify after the training, ensuring immediate workplace application and measurable productivity improvemen

DAY 1

9:00

MODULE 1: AI FUNDAMENTALS FOR MANUFACTURING WORKPLACE

Help participants understand what AI can and cannot do, and how AI supports manufacturing departments in daily work

Generative AI vs AI Agents vs Agentic AI
AI vs Search Engine vs human judgement
How AI supports manufacturing departments
AI capabilities, limitations, hallucinations
AI ethics in workplace
Responsible AI use: confidentiality, data protection, checking, and approval protocols
Free AI Toolkit Overview by Functions – ChatGPT, Claude, Gemini, Copilot, Deepseek, Perplexity AI, NotebookLM, Napkin AI, Otter. ai, Canva AI, Adobe Express, HeyGen and more

10.45

MODULE 2: PRACTICAL PROMPTING SKILLS FOR BETTER AI OUTPUTS

Teach participants how to write better prompts for clearer, more accurate, and more useful AI outputs

Why prompting is the most important AI productivity skill
Must-learn Prompt Formula
Applying prompt step by step – guided practice with manufacturing workplace examples
Adding department context, industry, data source and output format requirements
Using follow-up prompts to refine, expand, shorten or reformat AI responses
Identifying weak prompts vs strong prompts – comparison and improve exercises
Building a reusable prompt template library organised by department and task type

1:00

Lunch

2:00

MODULE 3: AI FOR EMAILS AND WORKPLACE COMMUNICATION

Help participants improve communication with customers, suppliers, colleagues, and management using AI

Professional email drafting for customers, suppliers, internal teams, and management
Rewriting unclear, emotional or unprofessional messages into polished, work-ready communication
Customer complaint replies with empathy, factual clarity, and concrete next actions
Supplier follow-up, escalation, RFQ, quotation request, and procurement inquiry emails
Internal updates for delays, shortages, schedule changes and urgent issues
Tone adjustment for different audiences - operators, supervisors, managers, customers, and vendors
Translating work email to different language
Building reusable email templates for recurring communication scenarios

3:45

MODULE 4: AI FOR REPORTS, MEETING MINUTES, FINANCIAL SUMMARIES & MANAGEMENT COMMUNICATION

Train participants to convert rough notes, meeting, and financial data into structured professional reports

Turning rough notes, bullet points, and voice recordings into structured reports and action summaries
Creating meeting minutes with clear action items, person-in-charge (PIC), and follow-up deadlines
Preparing daily, weekly, and monthly department updates for operations and management review
Writing executive summaries with clear findings, recommendations, and decision support content
Converting production, quality, delivery, and maintenance updates into formal management reports
Preparing issue escalation reports covering impact, root cause, action plan, timeline, and status
Converting financial figures into month- end reports, financial summaries, charts, and budget justification documents

Q&A SESSION

5:00	End of Day 1

DAY 2

9:00

MODULE 5: AI FOR SOPS, CHECKLISTS & KNOWLEDGE MANAGEMENT

Help participants create, improve, and organise SOPs, work instructions, checklists, policies, manuals, and knowledge resources

Creating new SOPs and improving unclear SOPs, work instructions, safety procedures, policies, and operational manuals
Creating department checklists for daily operations, shift handovers, inspections, and audits
Creating FAQs, briefing notes, quick reference guides, and vendor evaluation checklists
Turning long procedures into simplified operator and supervisor checklists / visual flowchart for shopfloor use
Identifying missing steps, finding gaps, unclear instructions, compliance risks, and improvement areas
Organising and maintaining department knowledge bases for training, onboarding, and ISO audit readiness

10.45

MODULE 6: AI FOR DATA, KPI & PERFORMANCE INSIGHTS

Enable participants to read data, spot trends, explain variances, and prepare management commentary

Using AI to read and interpret data tables — Finance P&L, HR headcount, Production output, QA defects, Warehouse stock
Generating KPI commentary for any department — OEE, rejection rate, on-time delivery, downtime, cost saving, response time
Explaining variances clearly and professionally — budget vs actual, plan vs output, target vs achievement, SLA vs result
Identifying trends, risks, and early warning signs — rising scrap, slow delivery, overtime spikes, inventory discrepancies
Using AI to suggest & explain Excel formulas, suggest analysis approaches, and interpret raw data — no advanced Excel skills needed
Asking better data questions to unlock useful insights — structuring analysis requests for accurate AI responses
Building a reusable monthly reporting routine using AI prompt templates for consistent, time-saving commentary

1:00

Lunch

2:00

MODULE 7: AI FOR VISUAL, PRESENTATIONS & VIDEOS

Help participants create presentations slides, posters, videos, and marketing content

Creating presentation outlines, slide structures, and management update decks using AI prompting
Designing posters, safety reminders, 5S notices, quality alerts, and internal campaign materials with AI visual tools
Creating workplace videos — work instructions, safety reminders, product introductions, and internal staff communications
Using AI to write marketing and social media content — product posts, promotions, company announcements, and LinkedIn updates
Building a personal prompt library organised by department and task type for immediate post-training use

3:45

MODULE 8: AI FOR PROBLEM SOLVING, ROOT CAUSE ANALYSIS, SMARTER DECISION & 30-DAY AI ACTION PLAN

Help participants use AI to define problems, identify root causes, evaluate solutions, explore business opportunities, and create 30 days AI Action Plans

Defining clear problem statements across departments — production stoppages, customer complaints, supplier delays, budget overruns
Applying AI-assisted 5 Whys and Fishbone/ Ishikawa analysis across Production, QA, Maintenance, Logistics, HR, Finance, and Safety
Separating facts, symptoms, causes, and assumptions — using AI to structure rigorous root cause analysis
Creating CAPA reports, corrective action plans, and escalation documents ready for management, ISO audits, and customers
Evaluating solutions by cost, risk, urgency, and feasibility — using AI to compare options and recommend next steps
Using AI for sourcing and procurement decisions — alternative suppliers, pricing benchmarks, RFQ emails, and supplier evaluation
Exploring new business opportunities — customer segments, product gaps, process improvements, and market trends using AI research
Completing a 30-Day AI Action Plan — each participant commits to 5 real AI tasks in their own department

5:00	End of Course