AI and data in audit and finance
We use data and AI in our audit work, and help companies automate their finance processes.
What we do
Transaction analytics
General ledgers and journals are tested in AuditLane to find transactions that need a closer look.
Finance process automation
Recurring reports, bank reconciliations, and tax reporting files that have been prepared by hand.
Accounting systems
Setting requirements, assessing candidates, designing the chart of accounts, and moving balances with reconciliation.
Data readiness
Organising the transaction trail so requests from auditors and tax examiners can be answered from the system.
Examples of tests in AuditLane
We use AuditLane for working papers, evidence, review notes, and analytics. Some tests run on transaction data:
- Weekends and holidays
- Just below thresholds
- Duplicate payments
- Round numbers
- Statistical outliers
- Keyword search
- Document matching
- Last digit analysis
- Unusual manual journals
The limits we keep
The auditor decides
Test results are leads to examine. Audit conclusions are made by the auditor.
Independence
We do not provide technology services to an entity whose financial statements we audit for the same financial year.
Related reading
Start with one process
Tell us which finance process takes up the most of your team's time.