WorkflowLab is a Singapore-based studio led by Phua Kuan Yu. We build AI-assisted document and knowledge workflows that keep source evidence and human review in reach.
Our current focus is invoice, delivery-order and purchase-order matching for manufacturers in Singapore and Malaysia.
Email KuanDocuments. Systems. The person who owns the decision.
Find the gap. Define what needs a person.
Use the diagnostic to decide whether a pilot is worth building.
Start with a short description of the recurring task and who checks the result.
Start with a short description of the recurring task and who checks the result.
Explain the source files and systems, what stays manual and where the review gets stuck.
A paid diagnostic produces a baseline, a readiness decision and a fixed pilot scope and quote.
Tell Kuan which task repeats, who owns it, what files or systems it uses and what the team still checks by hand. Describe the delay or rework you want to reduce.
A short workflow description is enough for the first conversation. Keep confidential records and credentials out of the initial email.
WorkflowLab builds reviewable AI workflows around documents, source files and business rules. The team can inspect evidence, correct a draft and decide what happens next.
Manufacturers in Singapore and Malaysia that check invoices, delivery orders, purchase orders and goods-receipt records. Matchdesk is a local prototype; fit and accuracy on your documents still need evaluation.
Proposal preparation, source-linked Slack knowledge, declaration drafts, bank transaction review and purchase-order checks. Each story states its current status and review boundary.
Email kuan@workflowlab.sg. WorkflowLab is led by Phua Kuan Yu in Singapore.
Bring the workflow, its owner and the result your team needs to review.