Prepare for review/assurance with evidence, controls, sampling discipline, and honest limitations (not audit advice)
Important: This is operational readiness guidance, not audit advice. Assurance requirements vary by standard, provider, and scope.
Use this when:
To be "assurance ready," you need:
Beginner rule: You don't need perfect data. You need transparent, controlled data.
Decide:
For each category in scope:
Evidence types:
You should be able to sample:
Document:
Mock review output:
| Category | Method type | Key data sources | Evidence location | Limitations summary | Owner | |---|---|---|---|---|---|
| Category | Evidence type | File or folder link | Notes | |---|---|---|---|
| Control | Category | Description | Frequency | Owner | Evidence of control (link) | |---|---|---|---|---|---| Examples of controls: - QA checklist executed monthly for Scope 2 dataset - supplier request tracker updated weekly - exceptions log reviewed monthly - change log updated for restatements
Sampling Plan Scope: Sample approach: - Top X vendors by spend - Random sample of Y vendor records - Targeted sample of high-risk records (proxy/unknown) What we verify: - source data exists - evidence links open - method applied consistently - boundaries documented Outputs: - issues found - fixes implemented - change log entries (if required)
Mock Review Checklist (per category) - Methods memo exists and is clear - Data sources listed and accessible - Evidence links open - QA checks completed and recorded - Exceptions log exists and is current - Change log captures restatements - Limitations are documented honestly
| Date | Category | Finding | Severity (L/M/H) | Fix | Owner | Due date | Status | |---|---|---|---|---|---|---|---|
v1.0 (2026-01): Latest release