Classes are grouped by role. Each role leaves with a ready-to-use AI toolkit and picks one use case to put live within 30 days of the course.
Structure: Day 1 breaks down role tasks and covers three core scenarios; Day 2 links them together and plans the launch. ChatGPT / Claude by default, with Lark for collaboration and records; Google or Microsoft tools when that is what the company uses.
| Role | Core scenarios | Hands-on output |
|---|---|---|
| Sales & marketing | Customer profiles and lead scoring; personalised follow-ups; WhatsApp scripts and auto-replies; multi-platform, multilingual social content; ad report reviews | Follow-up script library + one-week content calendar + ad review template |
| Customer service | FAQ knowledge-base answers; ticket triage and priority; reply drafts and tone; English / Chinese / Malay replies; quality checks | Service knowledge assistant + reply templates |
| HR | Job descriptions and interview questions; CV screening (with bias and PDPA cautions); onboarding material and staff Q&A; training content; survey analysis | Hiring assistant + onboarding Q&A assistant |
| Finance | Invoice and receipt field extraction; reconciliation support; report commentary and variance notes; budget notes; e-invoice data checks (follow the latest LHDN requirements) | Document extraction template + monthly report commentary template |
| Operations & admin | Writing SOPs; meeting notes to tasks; supplier comparison and data gathering; order and inventory reports | SOP generator + supplier comparison sheet |
Add one day, or swap in industry cases within a role course.
| Industry | Typical scenarios |
|---|---|
| Real estate & agencies | Listing descriptions and area information; viewing bookings and reminders; lead follow-up |
| Retail & e-commerce | Product copy and multi-platform listings; review analysis; customer service auto-replies; promotion reviews |
| Logistics | Waybill data extraction; exception notices; automatic replies to customer enquiries |
| Education & training | Admissions enquiries; course material; learner Q&A; parent communication |
| Manufacturing | SOPs and quality records; supplier data; maintenance log summaries |
For hiring decisions, financial compliance and similar work, AI output supports people; the responsible person makes the final call.
Yes, but role-based classes work best because every case and template targets the same kind of work.
L3 gets role work done inside AI tools. Scenarios that need several systems running automatically together (for example form → sheet → notification) move to L4 and are built in n8n.
Tell us about your team. We will recommend a course mix and schedule based on roles, workflows and the tools you already use.
Course: L3 AI for Roles & Industries