
Continuous Monitoring Opportunity Selector
Decide which audit tests should become monthly, weekly or near-real-time monitoring routines — based on risk, repeatable logic, reliable data and clear ownership.
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Design repeatable tests that flag exceptions reliably — choosing suitable risks, defining exact logic and thresholds, assigning investigation owners, piloting with real data and tracking trends.
Recurring audit tests can become monitoring routines, but only if someone owns the exceptions they create. This guide shows how to convert recurring tests into repeatable, data-driven monitoring.
Use it when a test has proved valuable on an audit and could be repeated. The six steps are: choose risks with frequent transactions and stable data; define the exact exception logic and required fields; set thresholds that balance sensitivity and false positives; assign ownership for investigation and closure; pilot the test and tune the logic using real exceptions; and track trends, repeat offenders and unresolved items over time.
The worked example uses travel expenses: a monthly test for hotel nights above a market-adjusted limit without documented exception approval, owned by Finance and HR with internal audit trend oversight, and measured by exception rate, repeat employees, repeat approvers and unresolved items. The quick reference reminds you that a test is only useful if someone owns its exceptions, that a few high-value tests are better than dozens of noisy alerts, and that logic, data sources and thresholds should be retained so changes are controlled. Use the auditor prompt, quality check and mini self-check before handing a test over.
© Salih Ahmed Islam

Decide which audit tests should become monthly, weekly or near-real-time monitoring routines — based on risk, repeatable logic, reliable data and clear ownership.
PDF • 6 Pages • Free

Design and document a repeatable monitoring test: risk statement, data fields and rule logic, alert threshold and tolerance, false-positive handling, alert reviewers, evidence retained and escalation.
PDF • 6 Pages • Free

Match each risk to a practical data test, the fields it needs and whether it suits one-off audit work or continuous monitoring.
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Start with the audit question, not the software: define and validate the data, design risk-based tests, investigate exceptions in context and save logic for reuse or monitoring.
PDF • 6 Pages • Free