Services · AI Automation

Automate the parts of proof that never needed a human.

Workpapers drafted for you, controls monitored continuously, anomalies flagged early.

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.

How the work runs

AI Automation, end to end.

Most of the effort in proving a control is collection, not judgement. We automate the collection and leave the judgement where it belongs.

Find the manual work
Which evidence is gathered by hand, how often, by whom, and how long it takes. Usually the answer is a quarter of somebody senior, spent on screenshots.
OutputEffort map and automation shortlist
Connect the systems of record
Read-only access into the sources the evidence actually lives in — identity, cloud, ticketing, the core platform. Nothing is re-keyed, so nothing can be re-keyed wrongly.
OutputIntegrations, least-privilege and logged
Build and run the rules
The control tests, expressed as rules over the full population rather than a sample, on a schedule rather than a season. Every run keeps its inputs, so any result can be re-derived.
OutputRule set with versioned history
Watch it continuously
Control status as a live position instead of an annual snapshot. Drift shows up on the day it happens rather than at the next audit.
OutputContinuous controls dashboard
Raise the exceptions
Only the things that need a person. An exception arrives with its evidence attached and an owner already assigned, which is the difference between an alert and a job.
OutputException queue and evidence pack