Topic starter
24/06/2026 10:38 pm
TL;DR: Internal audit in SOX-scoped, multi-ERP environments is shifting from periodic sampling to continuous assurance, with SafePaaS positioning control telemetry, automated testing, and evidence capture across planning, fieldwork, reporting, and follow-up. The governance shift is real: audit programmes now depend on live control data, not assumptions, to keep pace with change.
Editorial analysis by NHI Mgmt Group, based on content published by SafePaaS: “What Are the 5 Stages of the Internal Audit Process?”.
Key questions
Q: How should internal audit handle control testing in multi-ERP environments?
A: Internal audit should move high-risk controls toward automated, repeatable testing so it can assess full populations instead of relying on small samples.
Q: When does continuous assurance improve SOX audit quality?
A: It improves audit quality when the organisation can produce current, system-generated evidence for controls that change frequently, such as access, configuration, and approvals.
Q: What are the biggest failure modes in spreadsheet-based audit follow-up?
A: Spreadsheet-based follow-up fails when owners, due dates, and closure evidence are disconnected from the control that originally broke.
Practitioner guidance
- Define the audit universe from live system risk signals Map ERP instances, key SaaS platforms, business processes, and control domains to current SoD, access, and configuration risk data before setting audit scope.
- Replace sample tests with reusable full-population checks Convert high-volume controls such as access changes, journal entries, and key approvals into repeatable automated tests that can be re-run across periods.
- Standardise evidence lineage across workpapers and tools Require time-stamped control outputs, approval records, and exception logs to remain traceable from source system through final audit reporting.
Bottom line: Multi-ERP assurance is moving toward continuous control visibility because periodic sampling no longer keeps pace with change.
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25/06/2026 7:24 am
Continuous assurance is really a control-data problem, not just an audit-efficiency problem. The article shows that planning, fieldwork, reporting, and follow-up all depend on the quality of control data available at the time of review. When that data is static, audit conclusions age quickly in multi-ERP environments. The practitioner conclusion is straightforward: assurance quality now rises or falls on the freshness and traceability of control evidence.
A question worth separating out:
Q: What should assurance teams look for in continuous monitoring data?
A: Assurance teams should look for recurring SoD conflicts, privileged access concentrations, orphan accounts, and unapproved configuration changes that persist over time. Those patterns show where the control environment is unstable and where audit effort will produce the most useful risk insight.
👉 Read our full editorial: Continuous assurance in multi-ERP audits needs better control data