Services · AI Automation
Automate the parts of proof that never needed a human.
Workpaper generation, continuous controls monitoring, anomaly detection.
What this covers
- Data input
- Evidence pulled directly from the systems of record, so a workpaper cites a source instead of a screenshot.
- Processing
- Rules applied across the full population rather than a sample, on a schedule rather than a season.
- Data management
- Retention, lineage and access for the evidence store itself, which becomes regulated data the moment it exists.
- Analytics
- Trend and outlier detection across transaction and access data, tuned against your own baseline.
- Automation
- Workpaper generation and control monitoring that runs unattended, with a practitioner reviewing the exceptions.
- Optimisation
- Removing the steps that only ever moved data from one place to another, so fewer hands touch each engagement.
01
01Evidence collection and workpaper generation from the systems of record.
02Continuous controls monitoring instead of a once-a-year sample.
03Anomaly and risk detection over transaction and access data.
02
It rarely stops here.
03