AI Thursday
Behavioral Shifts
& Expectation Management
for AI adoption — this round, the soft-skills side of the story.
Press → or space to begin
Your Trainers
Led by practitioners,
not theorists
Chan Wei Khjan
Audit Partner, YYC · MIA Board
Chartered Accountant (ACCA · C.A.(M) · FCA Singapore) and MIA board member. Featured in Business Insider for pioneering AI inside the accounting profession.
Marcus Chia
AI Product Manager & Harness Engineering Expert
Builds and ships AI workflows in the wild — Copilot agents, Power Platform automation and data dashboards. Turns messy business problems into working AI solutions.
Warren Leow
Founder, AITraining2U PLT
Drives AITraining2U's mission to equip 100,000 Malaysians with practical AI skills — hands-on with AI agents, automation and applied analytics for enterprise teams.
Today you'll build alongside us — every capability paired with something you can try the moment you're back at your desk.
Our Clients
Trusted by leading Malaysian organisations
Banking, telco, retail, healthcare, energy & government-linked companies — teams across Malaysia upskill with AITraining2U.
Proven Track Record
1,500+ professionals trained — and counting
HRDC-claimable · Enterprise & public workshops · Practical, hands-on, results-first
A recent experience · hosting a large-scale dinner
Tickets to issue fast. Tables to arrange in hours. Sales to explain. No time, no team.
How?
One person. One n8n workflow.
Ticketing
Issued at speed, at scale — no queues, no bottleneck.
Table layout
Arranged and re-arranged in hours, not days.
Sales breakdown
Analysis ready on demand, not after the event.
All sorted — nicely — within 3 days.
Looks effortless,
right?
Getting there wasn’t.
AI adoption is less about the tools — and more about people.
Chapter I
The Personal Journey
Five stages everyone goes through with AI.
The Personal Journey
Five stages, one journey.
Everyone moves through the same five stages with AI — the trick is knowing which one you’re in.
Stage 1 · Fence-Sitting
Hesitant. Skeptical.
Too many tools, too many options.
Marketing noise everywhere — impossible to tell what’s real.
Hard to choose… so you choose nothing.
Stage 2 · The 70% Wall
The missing 30% stings most inside your own expertise — accounting, IT, your domain. That’s where resistance peaks.
Stage 3 · The Spark
Then it clicks.
You do things faster.
You do things that weren’t possible before — like building an app without an IT team or engineer.
Stage 4 · The Burn
Success creates
its own problem.
Too many ongoing projects — most of them only semi-automated.
Debug, improve, maintain — while trying to build the new.
You become the bottleneck of every process.
AI burnout is real.
Stage 5 · The Trim
Focus is the way out.
Put the non-essential automations on hold.
Keep the few that are important and urgent.
Push each one until it automates the bulk — then move on.
Recap
The personal adoption curve
Chapter II
The Organization
Same journey, higher stakes: the expectation gap between management — who sets the direction — and executors — who build the workflow.
The common pitfall
Management meets AI
through demos.
Impressive. Instant. And nowhere near production.
Depending on the scale and depth of the solution.
What the demo never shows
Single-user ≠ multi-user. They are entirely different set-ups.
Users must change how they work. Behavioral change management takes time — always.
When the gap goes unmanaged
Proving the value
How management should measure AI ROI
Track the right signals
- Adoption & active-use %
- Hours saved / week
- Errors & rework ↓
- Cycle time ↓
Put a ringgit on it
- Hours × loaded cost/hour
- + revenue uplift
- − licences + training + build
Net it out
÷ Cost
reviewed each quarter — not in week one
Vanity metrics — logins, prompts sent — aren’t ROI. Tie every AI program to hours, quality, or revenue, then net it against real cost.
The evidence
The productivity paradox vs real ROI
“95% of enterprise generative-AI pilots show no measurable return.”
AI is showing up everywhere — except in the productivity statistics.
Firms pour billions into AI but struggle to prove the payback to the board.
An average US$3.70 back for every US$1 invested in generative AI.
Its AI assistant does the work of 700 full-time agents — ~US$40m profit uplift.
The bottom-line gains land for firms that redesign workflows around AI.
Same technology, opposite outcomes. The difference isn’t the tools — it’s adoption and measurement.
Why now
Speed is the real advantage.
The winners aren’t the biggest — they’re the fastest to adapt. Every automation makes the next one quicker; every week you wait, a competitor pulls further ahead. Start, ship, repeat.
The skills that matter
Five skills, one orchestration.
Orchestration
Automation
Coding
Analytics
& Governance
Marketing
Mastering one tool isn’t enough. The people who win connect all five — automation, code, analysis, security and marketing — into one orchestrated whole.
Strategy A · the hands-on owner
Build it yourself,
then roll it out.
Built her own financial-report drafting app — production-grade. Users simply use it.
Users refused to use it. Never implemented.
Strategy B · the believer without bandwidth
Empower the team.
Let staff own the process decisions.
Assign a reasonable budget.
Reallocate routine work — free real capacity to focus and deliver.
If routine already fills the day, AI will never be the priority.
And now
The era of vibe coding
Users can build their own solutions — and that solves the hardest problem of all: adoption.
Domain expert and builder — the same person.
No external party struggling to learn your domain — no long timelines, no heavy cost.
People adopt what they build themselves.
AI adoption is
a human journey.
Manage the behavior. Manage the expectations. The technology will follow.
AI Thursday · Thank you · Home to replay
Our stack
What we run our
AI-native org on
SuperAgentK
The workforceA team of AI agents in your own sandboxed workspace. They arrive knowing Malaysian statutory rules, build the tools your team is missing, and plug into the systems you already run.
superagentk.com →n8n
The backboneWhere the workflows actually live — the same engine behind that 1,000-guest dinner. Ticketing, table layout and sales analysis, all on one canvas.
n8n.io →
Agents do the work. Workflows keep it running. You stay the domain expert.
How we run on AI
We track every token, across the team.
Adoption, tokens, cost and top users — measured live, per person and per agent. You can’t improve what you don’t measure.
Our courses at AITraining2U.comKursus kami di AITraining2U.com
Opens our booking form — pick a course & date.Membuka borang tempahan kami — pilih kursus & tarikh.
Open formBuka borangAll courses are Semua kursus HRDC-claimableboleh tuntut HRDC — available as enterprise & public workshops. — tersedia sebagai bengkel perusahaan & awam. AITraining2U.com