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PETALING JAYA, 28 DECEMBER 2025
As I explored opportunities with what Allah gave to me (current networking), an AI monetising workshop invitation appeared in my WhatsApp notifications by Abg Ambran from SCAVAI, a group of consultants with good historical records globally.
As the lunch session with Zhafran, Haiqal, Syed, Rashidi and Aimann concludes, I straight away attended this course and it was super helpful - as my mentor, Abg Ambran is conducting the session.
Below is an article I made with the help of my assistant friend, Syeikh GPT based on the contents I learnt that one might learn from the sharing.
Most people still treat AI like a cool trick.
Something to play with.
Something to post on LinkedIn.
Something that feels impressive… but doesn’t pay rent.
This workshop changed that framing completely.
Organised by Asia HRTF, a regional NGO focused on Health, Relationship, Technology, and Finance, the AI Monetization Workshop brought together 22 participants from Malaysia, Singapore, Brunei, and Japan.
Different backgrounds.
Same question underneath it all:
How do we turn AI into something people will actually pay for?
What follows isn’t hype.
It’s a practical way of thinking about AI in 2026
— simplified for entrepreneurs, young professionals, and builders who want outcomes, not demos.
Module 1: The Most Important Shift — Stop Thinking Like an Engineer
Module 1: The Most Important Shift — Stop Thinking Like an Engineer
The first module, led by Ambran Abu Bakar, set the tone immediately.
Most people ask:
“What AI tool should I build?”
Wrong question.
Better question:
“What problem hurts enough that people will pay to solve it?”
AI is not the product.
The result is the product.
People don’t buy:
Chatbots ❌
Models ❌
APIs ❌
They buy:
Saved time
More sales
Less stress
Better decisions
But here’s the deeper insight that stuck with me:
VFI isn’t about saying yes or no.
It’s about deciding what to do first.
The highest-scoring VFI ideas become your AI beachhead
— the first use case that proves value, builds confidence, and funds everything else.
A Subtle but Powerful Insight
A Subtle but Powerful Insight
You don’t always need to create new AI products.
Often, the fastest money is made by:
Enhancing existing services
Adding AI layers to proven workflows
Monetising what already exists
Example:
A museum doesn’t need “AI”.
It needs engagement.
So when holograms were paired with ChatGPT-style conversational AI, suddenly history became interactive. Visitors stayed longer. Value increased. Revenue followed.
Real-World AI (Not Twitter Demos)
Real-World AI (Not Twitter Demos)
Several case studies grounded the discussion:
DexLab Humanoid Robots — AI-powered companions for dementia patients in nursing homes across Singapore, Australia, and Hong Kong. This isn’t novelty tech; it solves staffing, emotional care, and monitoring problems.
Mulan Museum — Interactive holograms using voice, narrative AI, and cultural storytelling to turn static exhibits into conversations.
Notice the pattern?
No one sold “AI”.
They sold better outcomes.
Module 2: How AI Actually Makes Money (And Why 2025 Is Different)
Module 2: How AI Actually Makes Money (And Why 2025 Is Different)
The second module, delivered by Reza Hadi, addressed the elephant in the room:
Is AI just another bubble?
Short answer: no.
Unlike the dot-com era, today’s AI companies already have:
Paying customers
Enterprise contracts
Measurable ROI
From 2022–2024, people experimented.
From 2025 onward, people are willing to pay — but only for proven value.
Across the workshop, one pattern kept repeating:
The winning AI businesses don’t sell AI.
They sell time saved, risk reduced, or revenue gained.
Here are the most practical pathways discussed — the ones already working in the market:
The key takeaway wasn’t technical:
Creativity and problem framing are the real leverage.
AI handles the technical work.
The key insight here was almost counterintuitive:
Creativity is 80%.
AI handles the technical 20%.
If you can frame problems well, AI becomes leverage.
Pricing Isn’t One-Size-Fits-All
Pricing Isn’t One-Size-Fits-All
Common models include:
Subscription
Usage-based
Tiered access
Outcome-based
Value-based pricing
Module 3: Execution Without Overthinking
Module 3: Execution Without Overthinking
The final module by Che Azurahanim focused on execution — especially for non-coders.
No-Code Is Not a Shortcut — It’s the Strategy
No-Code Is Not a Shortcut — It’s the Strategy
Tools highlighted included:
Bubble, FlutterFlow for apps
Zapier, Make for automation
Perplexity for research
Midjourney & ElevenLabs for visuals and audio
Canva AI for fast design
Custom GPTs for specialised workflows
The point wasn’t to master all tools.
It was to ship something small and useful.
The Big Takeaway (If You Remember Only One Thing)
The Big Takeaway (If You Remember Only One Thing)
The Real Barrier Isn’t Technology — It’s Value
The Real Barrier Isn’t Technology — It’s Value
One slide said it perfectly:
The barrier to entry is gone.
The barrier to value remains.
Everyone now has access to AI.
What most people don’t have is:
Clear use cases
Business framing
Outcome-based pricing
That’s why AI monetization in 2026 won’t reward the most technical —
it will reward the most intentional.
A Question Worth Sitting With
A Question Worth Sitting With
If you removed the word AI entirely…
what outcome could you deliver today that someone would still pay for?
That answer is where monetization really begins.
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