Traditional auditing is based on performing sample tests which limits the level of assurance that can be provided.
GL.ai uses maching-learning to analyse the full population of the General Ledger and identify unusual or suspicious activity for the auditor to follow-up.
- Full population analysis is now possible.
- Context is incorporated into the algorithms.
- Auditors can focus their time on the investigation and judgement rather than on wrangling and analysing data.