Compliance evidence
Keep evidence connected to every obligation, control and exception.
Configure an AI worker to collect approved evidence, check it against defined requirements and route gaps to the accountable control owner.
The operational problem
Evidence collection should not begin when an audit request arrives.
Evidence often sits across tickets, files, screenshots, system reports and email. Teams then rebuild the link between a requirement, its control and its proof during every review.
A compliance evidence worker can maintain that relationship during normal operations and make gaps visible before formal review.
Maintain the thread from obligation to review.
Each record remains connected to its requirement, review state and exception history.
Stage 01
Define
Process continuity
The record moves forward to collect.
Control owners decide whether evidence is sufficient.
The worker prepares the evidence state and highlights exceptions. Named employees approve control conclusions and remediation.
Worker responsibility
Turn evidence readiness into a repeatable control workflow.
Map requirements
Link obligations and control statements to named evidence requirements.
Collect approved evidence
Retrieve records from defined systems on the required schedule.
Check readiness
Evaluate presence, period, provenance and expected attributes.
Route exceptions
Assign gaps and corrective actions to accountable owners.
Accountable role
Human judgement and approval
Measure evidence operations before and during the launch.
- 01Evidence coverage
- 02Stale-evidence rate
- 03Preparation time
- 04Review minutes
- 05Open exceptions
- 06Remediation cycle time
Choose a control set
Start with recurring evidence that is costly to assemble and review.
Map the requirement, evidence sources, review criteria and accountable owners for one defined control set.