Technicity Sdn Bhd · Corporate Training

Practical AI Implementation for Business Operations

Workflow automation, document production and data handling — seven hours, one automated task built and measured per participant.

7 HOURS · 1 FULL DAY OR 2 HALF-DAYS FACE-TO-FACE & ONLINE EN · BM · ZH · JA DELIVERY
Course Objective

What is practical AI training for executives?

Short answer

Practical AI training is a session in which participants build something with their own work, rather than watch a demonstration. This seven-hour course takes executives, senior executives and managers in Malaysia from casual AI use to a working automation: each participant audits their own tasks, produces business documents to professional standard, automates one recurring task end-to-end, and leaves with the time saving measured. It runs as one full day, or as two half-days for teams who cannot be away from their desks for a whole day. Delivered in English, Bahasa Malaysia, Mandarin or Japanese by Technicity Sdn Bhd, an HRD Corp Registered Training Provider.

78%
of Malaysian knowledge workers use AI at work at least weekly
MICROSOFT WTI 2026 · n=2,100
12%
feel they have received sufficient training to use it well
EY WORK REIMAGINED 2025
24%
rank as advanced AI users, against 16% globally
MICROSOFT WTI 2026
1
automated workflow built per participant, per session
COURSE STANDARD

The gap those figures describe is the reason this course exists: adoption is high, capability is not. Participants arrive already using AI casually and leave using it systematically. Every module produces a work output they keep — aligned with the Industry 4.0 and Future Technology focus areas.

Audience & Format

Who it serves, and how it runs.

Attends
Executives and senior executives who do the recurring work, alongside the managers and team leads who own the process. The people who will actually run the automations should be in the room — not only the person who approves the training.
Also Suits
Business owners, and companies sending two or three staff to bring the practice back and cascade it internally
Prerequisites
Daily computer use in a business role; prior hands-on exposure to at least one generative AI tool. Not suitable as a first exposure to AI.
Schedule
7 training hours, run two ways. One full day, or two half-days of four hours — same or consecutive weeks. The split keeps participants away from their desks for only half a day at a time, and gives them a week to apply Modules 1–2 before returning for the build.
Delivery
Face-to-face in-house, or live online (instructor-led, with system-generated attendance). Participants bring laptops; hands-on throughout.
Group Size
In-house 2–25 pax · Public or online per session plan
Language
English, Bahasa Malaysia, Mandarin or Japanese — one language per session
Programme · 7 Training Hours

Five modules. Every one ships an artefact.

01

Task Audit & Automation Mapping

1.0 HR

Task inventory method; frequency–risk–value scoring; which tasks suit AI and which require human judgment. Each participant audits their actual role and scores a minimum of ten tasks.

Learning outcomeParticipants will be able to analyse their own role’s recurring tasks and classify each by frequency, risk and value to produce a scored automation-candidate map, in accordance with the Technicity task-audit framework.
OUTPUT  Personal automation map, minimum 10 tasks scored
02

Structured Prompting for Business Documents

1.5 HRS

Context–task–format method; iteration and refinement; verification as a fixed workflow step. Participants produce three real documents from their current workload.

Learning outcomeParticipants will be able to apply the context–task–format prompting structure to produce business reports, proposals and correspondence to professional standard, and demonstrate verification of every fact, figure and name before use.
OUTPUT  Production-grade document set with verification log
03

Build: Automating One Task End-to-End

2.0 HRS

From prompt to workflow; chaining steps; templates and reusable assets; AI coding assistants for non-programmers. Guided build of one complete automation per participant. This module is the course’s skills-demonstration assessment.

Learning outcomeParticipants will be able to construct a working automated workflow for one recurring task selected from their Module 1 map, and measure the time saved against their current manual process.
OUTPUT  One working workflow + before/after time measurement
04

Data Handling & Analysis with AI

1.5 HRS

Structured data in and out of AI tools; analysis prompts; error patterns in AI-generated figures; when to compute outside the model. Participants run a full analysis cycle on a provided business dataset.

Learning outcomeParticipants will be able to operate AI tools on spreadsheet and tabular data to generate summaries, comparisons and first-pass analysis, and identify the quality checks required before AI-produced figures are used in business decisions.
OUTPUT  Analysis brief with quality-check checklist
05

Governance, Standards & 30-Day Rollout

1.0 HR

What may and may not enter an AI tool; usage standards for teams; sustaining the practice after the course. Each participant drafts their organisation’s usage rule-set and 30-day plan. Post-assessment administered.

Learning outcomeParticipants will be able to apply data-confidentiality rules to AI usage in their organisation, set verification and usage standards for their team, and prepare a 30-day implementation plan covering the next three tasks to automate.
OUTPUT  AI usage rule-set + 30-day rollout plan
What Participants Leave With

Nothing theoretical leaves the room.

Every artefact is built on the participant’s own work — their tasks, their documents, their numbers. The training day ends; the workflows keep running.

01
Scored automation map
Their own role, ten tasks ranked
02
Three business documents
Production-grade, verification logged
03
One working workflow
Running after the session ends
7
artefacts per participant, every session
04
Measured time saving
Before and after, in minutes
05
Quality-check checklist
Applied before figures are used
06
AI usage rule-set
Written for their organisation
07
30-day rollout plan
The next three tasks to automate
Before You Book

Where does your team actually sit?

The same five-level rubric used to place participants on the day. Three questions, answered as your team is today — not as you wish it were.

The 30-second proficiency check

Answer for the staff you would send. The result tells you where they sit, and whether this course is the right fit.

Q1When your team uses AI at work, what do they mostly use it for?
Q2Has anyone automated a recurring task end-to-end, so AI now completes it without being asked each time?
Q3Does your organisation have a written rule on what may and may not be entered into an AI tool?
RUBRIC PLACEMENT
1 AWARE2 DEVELOPING3 COMPETENT4 PROFICIENT5 EXPERT
Assessment & Measurable Outcomes

Competence, measured — not attendance, certified.

01

Pre and post competency placement

Every participant is placed on the Technicity AI Tool Proficiency Rubric — five levels, with Level 3 “Competent” anchoring the general professional role — before and after the session. The movement is documented.

02

Skills demonstration

The Module 3 workflow build, assessed against a completion standard: task automated end-to-end, output verified, time saving documented.

03

Work-output review

The document set and analysis brief produced during Modules 2 and 4, reviewed against professional-use standards.

04

Employer report

Organisations receive a per-participant competency summary — rubric placement, workflow built, measured time saving. A concrete return on the training day, not a stack of attendance slips.

Common Questions

Questions buyers ask before booking.

01

Our executives cannot be away from their desks for a full day.

The same seven hours run as two half-days of four hours, in the same or consecutive weeks. Participants complete the task audit and document modules first, apply them for a week, then return for the automation build — which usually produces a better result, because they arrive with a real problem in hand.

02

Should we send managers or executives?

Send the people who do the recurring work. Managers own the process and should understand what changes, but the executives handling reports, schedules, quotations and correspondence are the ones who will build and run the automations. Two or three staff from the same function attending together works best — the practice then has somewhere to live when they return.

03

Can the course be delivered in Bahasa Malaysia, Mandarin or Japanese?

Yes — English, Bahasa Malaysia, Mandarin or Japanese, one language per session. Mandarin delivery serves Chinese-owned Malaysian companies, where staff are typically Chinese-educated and absorb technical material faster in the language they were schooled in. Japanese delivery matters for Japanese-owned companies in Malaysia, where management may prefer Japanese while the staff session runs in English or Bahasa Malaysia.

04

How is the outcome measured after the day ends?

Rubric placement before and after, a skills demonstration in which each participant builds one working automation, and a per-participant employer report showing placement, workflow built and time saved. Attendance is not treated as an outcome.

05

What is the difference between introductory and practical AI training?

Introductory training explains what AI is. Practical training has participants build with their own work in the room. HRD Corp draws the same line: introductory courses, foundation programmes, seminars and conferences are excluded from its Focus Area category, which covers hands-on training in fields including Industry 4.0 and future technology.

06

Who should not attend?

Anyone who has never used a generative AI tool. This course assumes prior casual use and moves to systematic use; a first-exposure participant will spend the day catching up rather than building.

How Booking Works

Five steps. Your HR team handles two of them.

Training funded through an employer’s HRD Corp levy follows a fixed sequence. Technicity prepares every document the application requires, so the work on your side is one form and one approval.

01
Technicity

Programme already registered

The course carries its own HRD Corp programme number, which your HR team quotes in the application. Nothing for you to prepare.

02
Technicity

We send the application pack

Three documents, issued on request: the fee quotation, the trainer profile, and the course content with training schedule. Exactly what the grant application asks you to attach.

03
Your HR team · about 15 minutes

Apply for the grant

In eTRiS: Application → Grant → Apply Grant, select the scheme, key in our MyCoID and programme number, attach the three documents, list the participants. Approval typically returns within 24 to 48 hours. Apply before the training date — approval must exist before the session begins.

04
Technicity

We deliver the session

At your premises or online. Participants build with their own work. Attendance is documented as HRD Corp requires, including system-generated records for online delivery.

05
Technicity · your sign-off

We submit the claim

We file the claim with the attendance and declaration forms; your officer countersigns. Fees settle directly against your levy balance — no advance payment from your operating budget. You receive the per-participant competency report.

Trainer

Who runs the room.

Eric Yap
Managing Director, Technicity Sdn Bhd · HRD Corp Registered Training Provider
ENGLISHBAHASA MALAYSIA中文日本語

“Show me the working version. A tool that only exists in a slide is not a tool.”

Twenty years of standing between people who could not otherwise understand each other — as a recruiter placing Japanese and Malaysian talent, and as an interpreter in rooms where a mistranslated sentence carried real cost. That work teaches one discipline above all: find the thing the other person actually needs, and say it in language they can act on. It is the same discipline this course applies to AI.

Eric builds what he teaches. The automation methods in this programme are the ones running his own operations daily — document production, content pipelines, business tooling. Nothing in the room is demonstrated from a manual; it is demonstrated from use.

A Keio University graduate with native-level Japanese, he has worked across Japan, Malaysia, Singapore and Indonesia in recruitment, market entry and executive facilitation, including interpretation for government and ministry-level engagements. He teaches in whichever of four languages the room actually thinks in.

Education
Keio University, Japan
Experience
20+ years across Japan and ASEAN
Certification
HRD Corp Train-the-Trainer, 2026

Request the application pack.

Tell us the team, the function and your preferred format — one full day or two half-days. We return a quotation and the supporting documents your HR team needs, usually within one working day.

ai@technicity.my
fee quotation trainer profile course content + schedule proposed dates
Course Definition v1.0 · August 2026
Reg. No. 202301006728 (1500649-A) · Kuala Lumpur, Malaysia