Can AI Really Do Everything for My PKS? A Kewangan and Perakaunan View✎ Edit

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Can AI Really Do Everything for My PKS? A Kewangan and Perakaunan View
"Saya pernah diberitahu bahawa AI boleh melakukan segala-galanya untuk perniagaan saya. Adakah itu benar?"

I get this question a lot from PKS owners. My answer, from the finance and accounting side, is always the same: start small, and treat AI as a capital project rather than an ongoing OPEX band-aid.

After years of managing financial operations, asset registers, and month-end closes, I've learned that AI delivers the clearest business value when it is used to build deterministic systems-not when it is rented to do the same repetitive task again and again.

Take bank reconciliation as an example. Instead of asking an LLM to read 1,000 pages of statements every month and burn tokens on the same layout, use AI to engineer an extraction and matching engine once. Once the workflow is live, it posts transactions to the general ledger, supports the audit trail, and runs at a fraction of the marginal cost every subsequent month.

That shift is visible on the AI bill. At AINNA, our AI consumption dropped from 32 billion tokens in the first month to around 3 billion tokens the following month, simply by moving from ad-hoc prompting to repeatable, governed systems.

The lesson untuk PKS Malaysia is therefore straightforward. Do not use AI to keep paying for manual work. Use AI to build the asset that removes the work, controls cost, and scales with your ledger.

Mula small. Bina once. Skala forever.

#ArtificialIntelligence #AI #BusinessAutomation #DigitalTransformation #SystemEngineering #Automasi #PKS #Inovasi #NeuralOps

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Komen baharu dihantar untuk semakan terlebih dahulu. Nama dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.

💬 12 komen pembaca
Narin 🇹🇭 Thailand · 49.228.*.38

use AI to engineer - that is the whole thing in one line.

Suda 🇹🇭 Thailand · 110.164.*.72

I have watched use AI to build go wrong in practice. Good to see it written down.

Miguel 🇵🇭 Philippines · 112.198.*.52

Gusto ko ang bahagi tungkol sa 1 dahil hindi masyadong teoretikal. Babasahin ko ulit ito.

Liza 🇵🇭 Philippines · 49.146.*.24

I read this twice. Saya pernah diberitahu bahawa AI is the part that stuck.

Omar 🇦🇪 United Arab Emirates · 5.32.*.29

الجزء المتعلق بـ 1 جعلني أفكر مطولًا.

Layla 🇯🇴 Jordan · 176.28.*.47

نواجه 1 في العمل الآن. مفيد.

Kenji 🇯🇵 Japan · 126.168.*.14

Bookmarked, mostly for our AI consumption dropped.

Sofia 🇪🇸 Spain · 88.12.*.36

Good write-up. Once the workflow is live alone was worth the read.

Aina 🇲🇾 Malaysia · 175.136.*.18

Dah hantar pada dua orang. Sebab 1.

Farid 🇲🇾 Malaysia · 60.54.*.42

Slightly disagree on simply by moving from ad-hoc, but the direction is right. Need to read this part again.

Siti 🇲🇾 Malaysia · 210.186.*.67

Useful. We are handling supports the audit trail right now.

Hafiz 🇲🇾 Malaysia · 27.125.*.31

Tulisan pertama yang cerita 1 dengan jujur.

Artificial Intelligence

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