Put AI to work on the repetitive parts of your team's day.
We build assistants that answer from your own documents and agents that carry out routine tasks in your systems, with a person approving anything that matters.
Paper-based, manual processes
The same data gets entered again and again, and every copy is a chance for a mistake.
Delayed reporting
Reports are compiled by hand at the end of the week, long after anyone could act on them.
Hard to scale
Workarounds that held a small operation together collapse as sites, lines and headcount grow.
Data that isn't kept or used
Records are scattered, overwritten or thrown away, so decisions run on gut feel.
Has PO-1093 been approved yet?
Not yet. It's waiting on Finance. I've sent them a reminder and I'll tell you as soon as it's approved.
Source: purchasing system, approval log
Reminder sent to Finance
Staff and customers ask questions in plain language and get answers drawn from your SOPs, catalogues and policies, with the source shown.
Agents that chase approvals, update records and raise documents across your tools, and stop for human sign-off where you choose.
WhatsApp and web assistants that handle common questions in English, Malay and Chinese, and hand over to your team when needed.
Options to keep data in your own cloud account or on premises, with access controls and logs.
A typical system, from where the data starts to where someone acts on it.
A typical first step: Pick one repetitive task, connect an assistant to the documents behind it, and test it with your team.
We ground answers in your own documents, show where each answer came from, and set the assistant to say when it doesn't know.
No. We use providers and settings that keep your data out of model training, and we can deploy privately if you need to.
Yes. Agents can update records, send messages and create documents, and each action can require a person's approval first.
