CodeNexusAI
Ledger clarity before the auditors arrive
We prepare finance teams for external audit fieldwork with AI-assisted anomaly detection on trial balances, journals, and closing packs.
Flagship engagement
Pre-audit anomaly review
Before year-end or interim visits, we scan agreed extracts for irregular journals, broken tie-outs, and balances that will invite sampling questions. You receive a ranked exception memo and a working session with your controller — timed to your audit kickoff.
Delivery is a done-for-you preparation engagement, not a self-serve product login. Files stay on your share; findings stay in plain language your close team can act on.
Related engagements
Support around the same close calendar
Choose the intensity that matches where you are in the audit cycle — full anomaly review, closing pack check, or interim sampling support.
Pre-audit anomaly review
A focused review of ledgers, reconciliations, and unusual balances before external auditors arrive.
Closing pack readiness check
A structured pass over reconciliations, variance narratives, and PBC lists before you hand them to the audit team.
Interim sampling support
Targeted anomaly scans during interim testing so surprises do not wait until the year-end visit.
From recent engagements
What controllers remember afterward
“They caught a prepaid rent pattern that our reconciliation treated as clean. Fixing it before fieldwork saved us a week of sample follow-ups.”Mei-Ling Chen, Controller — Kaohsiung trading group
“The memo was blunt about weak variance narratives. Useful, even when it stung. We still needed an extra day to gather shipping evidence they flagged.”Daniel Wu, Finance Manager — regional manufacturer
Field notes
Practical writing from closing season
When a journal looks ordinary but fails a tie-out
How we use AI-assisted anomaly detection to catch recurring journals that break reconciliation tie-outs before audit fieldwork.
Building a PBC list that survives the first week of fieldwork
Practical steps for preparing a prepared-by-client list that reduces back-and-forth during financial audit fieldwork.
Materiality bands and why we ask for them early
Why CodeNexusAI requests planning materiality and performance materiality before running anomaly detection on audit preparation files.