Workflow automation
The repetitive process that runs itself.
Manual, repetitive admin replaced with an automation you can watch run end to end.
Order arrives
by email or portal
AI checks stock and route
validates against the TMS
Dispatch scheduled
slot booked automatically
Customer notified
tracking link sent
Invoice generated
synced to accounting
Before
Manual handoffs across email, TMS, accounting. Hours of coordination, and things slip through the cracks.
After
The whole sequence runs itself in seconds. A person only steps in for the exceptions.
Source invoice
INVOICE Vendor: Mitra Office Supplies Invoice #: INV-2026-0418 Date: 12 May 2026 Bill to: Meridian Pte Ltd Item Amount (IDR) A4 paper, 10 reams 450,000 Ink cartridges x4 1,200,000 Desk organizers x6 360,000 Total: IDR 2,010,000 Payment terms: Net 30
Extracted data
~3 min
Manual
~3 sec
Automated
83 to 111
hours reclaimed / month
$779 to $1k
cost reclaimed / month
$9.4k to $12.5k
cost reclaimed / year
Illustrative estimate from your inputs. Assumes 60 to 80% of this repetitive work is automatable and about 160 working hours a month. Real numbers come from the audit.
Drawn from real patterns we have solved, not a named client. It shows exactly how we would approach the problem and the outcomes we design for. The working demo above is the proof you can try.
Context
A services business processing a few hundred supplier invoices a month by hand: open email, read the PDF, type into the accounting system, file it.
Problem
About three minutes per invoice of pure data entry, plus typos that caused payment errors and reconciliation headaches. The work scaled with volume, so growth meant more headcount.
Approach
An automation that read incoming invoices, extracted the fields with AI, validated them against purchase orders, routed exceptions to a human, and synced clean records to the ledger, with a monitoring dashboard for health.
Outcome
- Around 200 invoices a month moved from roughly three minutes each to near-instant.
- Roughly 8 to 10 staff-hours per week recovered.
- Data-entry error rate fell from about 8% to under 1%.
What this means for you
The repetitive process runs itself, faster and cleaner, and your headcount stops scaling with paperwork.