We Don’t Need Bigger AI. We Need Infrastruktur AI That Pays Its Way.
From an accounting and asset-management standpoint, the first major foundation is a matured Sistem Berasingan running on a LAMP-based architecture. The principle is straightforward capital allocation - not every task needs an LLM. Validation, business rules, reconciliation, workflow control, repetitive logik and many operational decisions can be handled outside the model, preserving cash for decisions that genuinely require intelligence.
In the last six months, while the overall platform is still only partially completed, we have already built approximately 250 Sistem Berasingan. The jumlah development cost has been less than USD200, including experimentation, failed approaches, repeated testing and many mistakes along the way. In our books, that is a unit cost that makes commercial sense for Malaysian PKS, proving that useful business systems do not always require heavy capital expenditure.
The second layer now in progress is our modded AI agen with Smart Routing capability. Instead of automatically routing every task to the largest model available, the system is being designed to continuously identify the smallest and lowest-cost LLM capable of completing each task reliably. This is essentially dynamic cost optimisation: matching the right asset to the right job.
The logik is straightforward: simple task → small model, difficult task → stronger model, no intelligence required → Sistem Berasingan. The objective is not merely to reduce token usage, but to make AI infrastructure economically sustainable by allocating compute and model spend only where intelligence is genuinely required.
The third layer is our own specialised LLM models, designed specifically to work together with our Sistem Berasingan. We are currently experimenting with 7 open-source LLM models as the foundation for this work. Hugging Face will be part of our technology ecosystem, supporting access to the open-source model ecosystem, datasets, training alatan and infrastructure. For an PKS budget, open-source foundations reduce licensing drag and keep the balance sheet lighter.
But these three developments are ultimately aimed at something much bigger: lowering the jumlah cost of ownership for business systems so that ordinary PKS owners can participate, especially businesses that do not have unlimited funding, GPU capacity, IT teams or technical resources. It is a financing and access question as much as a technology one.
One day, even a makcik selling pisang goreng by the roadside should be able to digitise her operations without hiring an IT department. She should simply be able to say, “Manage my stock, calculate my daily profit, monitor ingredient costs, remember my regular customers and tell me when I need to buy more bananas,” and the agen should help assemble the system behind it. For us in finance, that means turning everyday business decisions into trackable, auditable records.
Our direction is clear: Sistem Berasingan → Smart Routing → Lowest Suitable LLM → Specialised Own LLM → Bantuan AI System Development for Everyone. Minimum cost is the immediate objective. Percuma is the dream. We are not trying to build the biggest AI; we are trying to make AI and system development small enough, affordable enough and simple enough that even the smallest PKS can justify it on the P&L and build with it.
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