Grounded in practice, honest about limits
Satay Systems was founded on a straightforward idea: most businesses would benefit from specific, well-chosen applications of AI — not from broad adoption plans and abstract strategies.
← Back to HomeHow Satay Systems came to be
We started working with Singapore businesses on process questions well before AI became a regular part of those conversations. Over time it became clear that a specific kind of help was needed — not strategy documents or technology roadmaps, but someone who could sit with a team, look carefully at a single function, and then say honestly whether an AI tool would actually help.
Satay Systems was set up to provide exactly that. The name reflects our working philosophy: AI integration done well looks like a well-assembled skewer — a small number of good elements, carefully chosen, held together in the right order. Not a complicated dish. Not a performance. Something that works.
Our mission
We exist to help Singapore businesses move from uncertainty about AI to having it operate inside an actual workflow — in a way that their own staff can understand and maintain.
We do not measure success by the size of our engagements or the number of tools we introduce. We measure it by whether the work we leave behind is still being used six months later, by the people who were part of building it.
People behind the work
Rajan Krishnaswamy
Principal ConsultantRajan has spent twelve years working on process design and operational improvement across Singapore's financial and logistics sectors. He leads all client assessments and is responsible for the written recommendations that come out of each engagement.
Michelle Lim
Workflow ArchitectMichelle translates agreed specifications into working AI-supported workflows. She has a background in enterprise software and has built internal tools for teams in healthcare administration, professional services, and retail operations.
Daniel Tan
Client OperationsDaniel coordinates the practical side of each engagement — scheduling, documentation, and the handover process. He ensures that the written materials produced during an engagement are clear enough for someone who was not in the room to follow.
How we work
Written specifications before build
Every build engagement begins with a written specification reviewed and agreed before any development work starts. This keeps scope contained and expectations aligned on both sides.
Data handling agreed in writing
Any client data shared during an engagement is covered by written terms agreed beforehand. We do not retain samples or documents beyond the engagement period unless specifically requested.
Trial periods included in builds
The Targeted Workflow Assembly includes a four-week trial with actual users before the formal handover. This gives us and the client a realistic picture of how the workflow performs in daily operation.
Singapore regulatory awareness
We maintain working familiarity with Singapore's Personal Data Protection Act and relevant sector-specific considerations across finance, healthcare administration, and professional services.
Capability transfer as a goal
We design workflows so that your team can operate and adjust them without continued reliance on us. This is a stated objective of every build, not an afterthought.
Progress documented at each step
In the multi-month programme, written progress notes follow every working session. These become part of the closing review, giving clients a full record of what was done and why.
AI integration in Singapore: what we have observed
Most businesses we speak with have already had some exposure to AI tools — a pilot, a trial licence, a demonstration. What they tend to lack is a clear picture of where AI would fit into a specific function that matters to them, and what the practical work of building that into operations would actually involve.
Our engagements are designed to address that gap. The assessment service is deliberately short and contained, because the most useful thing we can offer at the start is clarity — not a comprehensive technology plan, but a grounded view of two or three places where AI could plausibly help, with an honest assessment of the effort involved in each.
For businesses that have already decided to proceed, the build service focuses on a single workflow, kept deliberately narrow. Experience suggests that one workflow embedded well, and used consistently by the people it was designed for, delivers more value than a broader initiative that never quite settles into daily practice.
Talk to us about your situation
We are happy to have a preliminary conversation before you commit to any service. It usually takes thirty minutes and helps both sides decide whether there is a good fit.
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