Catch the anomaly before month‑end finds it for you.
Manual reconciliation finds problems after the fact, once they've already compounded. We build anomaly detection that flags issues as they happen, not weeks later.
The problem this solves
Month-end reconciliation reviews journals and payroll runs line-by-line, so problems surface late, after the rework has already happened.
What we build
Case study: Port Operations
Real engagement
Early detection replacing month-end reconciliation.
A major Australasian port operator, operating under tight governance, unionised payrolls and complex charging structures, needed to move away from heavy manual reconciliation. We built AI anomaly detection that flags issues as they occur, with exception-based reporting and embedded, traceable governance. The same engagement also automated invoice query research for billing disputes.
Invoice query research, per request
Result
Early detection reduced downstream rework, audit noise and disruption, scaling as volumes grow without adding headcount.
Who this is for
Finance and payroll teams under complex charging structures, heavy compliance requirements or growing volume.
Organisations that trust us
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