01
Learn more about strategy Strategy
No six-month diagnostic. No 200-slide deck. Two to four weeks of function-by-function audit that surfaces the handful of AI use cases actually worth funding, with the numbers behind each one.
Move as one system.
AI strategy, built and shipped.
We set the strategy, build the systems, and train your people to run them.
Our approach
Three ways Enterprise gets you moving.
Most clients start with one of these and end up using all three.
02
Learn more about transformation Transformation
A working partnership that pairs change management with the tooling to back it. Baselines set on day one, measured every month, so ROI is a number in your dashboard rather than a claim in a slide.
03
Learn more about engineering Engineering
Outcome-based product squads that use AI to ship production software faster and cheaper. You pay for features delivered, not hours logged.
Most companies do not have an AI problem.
They have a coordination problem that AI happens to sit on top of. Finance is running a pilot. Operations bought a tool. Engineering is waiting for a decision nobody has been asked to make.
Every one of those efforts is reasonable on its own, and together they produce very little. The technology has been available for years. What is missing is somebody with the mandate, the engineering depth, and the time, all three at once.
That is the job we do. One direction, and the systems to back it.
Every function running its own experiment is not a strategy.
Trusted by teams building the region
Northbeam
Aster Health
Lumen Logistics
Rangkai Group
Selat Capital
Kirana Foods
Vertex Marine
Pusat Retail
Halcyon Energy
Bumi Works
Meridian Bank
Tanjak Labs
Real stories, real results.
Aster Health
Enterprise gave us the equivalent of a senior product team on tap. We shipped three times the features in a quarter, and the code review bar was higher than what we had internally.
Lumen Logistics
They spent the first two weeks understanding how our dispatchers actually work before touching a model. That is why the rollout stuck. Adoption was 84% in month one.
Rangkai Group
The speed is real, but the thing I did not expect was the care. They treat our margin like it is theirs. I can message them at 11pm on a Sunday and get a straight answer.
Questions? We have answers.
How is Enterprise Engineering different from an agency?
Agencies bill hours and staff up with whoever is on the bench. We run small, senior squads on an outcome-based subscription. You agree the features, we deliver them, and the price does not move because a task took longer than we thought. Every engineer on your squad has shipped production systems at scale.
What does AI transformation actually mean here?
Finding the specific bottlenecks costing you money, building AI-driven systems that remove them, training your people to run those systems without us, then repeating. It is operational work, not a strategy artefact.
How does pricing work?
Engineering is a monthly subscription priced on output. You know the number before we start. Transformation is scoped per engagement based on the functions involved and the timeline. Diagnostics are fixed-fee and credited against the first month of any engagement that follows.
What kind of companies do you work with?
Established businesses, typically above RM 50 million in revenue, that are serious about becoming AI-native and do not have the internal bench to get there this year. We work across Malaysia, Singapore, and Indonesia.
Do you work with companies outside Malaysia?
Yes. We are headquartered in Kuala Lumpur and run engagements across Southeast Asia, with squads that overlap working hours from Jakarta to Sydney. For clients further afield we set a fixed daily overlap window and hold to it.
What happens to the systems you build when the engagement ends?
You own all of it (code, prompts, evals, infrastructure, and documentation) from the first commit. We hand over with a runbook and a training period, and we would rather you did not need us afterwards.
Start before the gap gets expensive.
Tell us where the work is stuck. We will tell you, in plain language, what AI can and cannot fix, and what it would take to do it properly.