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Compliance

Using AI to stay continuously audit-ready

Evidence in the workflow: Assisted collection, Review evidence, Control validation.
Centrien insights / Compliance

Keep evidence automation separate from approval

Automating evidence collection can reduce time spent finding records. It does not establish that the control worked, that the population was complete, or that an exception was resolved.

Trace a collected record back to its source and reporting period. Test what happens when access fails or an expected record is missing. Give a reviewer enough context to accept or challenge the conclusion without trusting the collection tool’s summary alone.

Put it into practice

Give the assistant a bounded set of approved records and ask it to draft an evidence index. Verify each cited record exists, applies to the assessment period, and supports the stated conclusion. Require a control owner to approve gaps and exceptions.

An AI-assisted evidence index with source links, scope checks, and human validation decisions: scope, rehearse, prove, and decide.
Operational playbook. An AI-assisted evidence index with source links, scope checks, and human validation decisions. Open full-size graphic

Implementation steps

  1. Read the obligationIdentify the applicable requirement, service boundary, assessment period, and responsible legal entity. Distinguish mandatory obligations from voluntary guidance and contractual expectations.
  2. Define the control and populationDescribe what the control should achieve, who operates it, how often, and every system or transaction it covers. Document exclusions and why they are justified rather than silently shrinking the sample.
  3. Retain source evidenceKeep a dated record of the request, approval, execution, and result where applicable. Link reused evidence to each requirement while preserving differences in scope, testing method, and reporting period.
  4. Review gaps explicitlySeparate missing evidence, known control failures, accepted exceptions, and untested areas. Assign corrective action and a retest. An audit outcome or completed questionnaire does not guarantee future security.

Track population coverage and evidence freshness

Measures that support an operational decision
Measure Calculation or definition How to use it
Population coverage Control items with evidence / total applicable population Record exclusions and sampling limits alongside the percentage.
Evidence freshness Evidence within the required review period / evidence reviewed Use the actual obligation or control cadence for the cutoff.
Verified remediation Failed controls retested successfully / failed controls reported fixed Keep evidence gaps distinct from confirmed control failures.

Example control evidence: scope matters

Worked example. Figures are illustrative.

Example control evidence: scope matters. Applicable: 25; Evidence retained: 20; Reviewer accepted: 15. Illustrative data.
Example control evidence: scope matters. 15 / 25 = 60% have accepted evidence. Reporting 15 / 20 = 75% without the five missing controls would hide the scope gap. Illustrative calculation. Open full-size graphic
Worked example — inputs
Observation Controls
Applicable 25
Evidence retained 20
Reviewer accepted 15

Keep all applicable controls in the denominator, including those with missing evidence.

The record to keep

The deliverable: An AI-assisted evidence index with source links, scope checks, and human validation decisions.

Begin with one recurring review and compare the automated record with the original source. Resolve missing fields and collection failures before relying on the process during an assessment.

References

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