
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.
PDF • 6 Pages • Free
Continuous monitoring turns point-in-time audit tests into routines that run monthly, weekly or close to real time. It helps internal audit and management detect issues earlier and provides assurance between audits — but only when the right tests are chosen and someone acts on the results.
Building a monitoring routine involves selecting risks where repeated testing adds value, confirming that reliable data is available, defining clear logic and thresholds, assigning owners to investigate exceptions, and documenting how alerts are escalated and closed.
Common pitfalls include monitoring tests that add little value, data feeds that break silently, thresholds that generate too many alerts, exceptions with no owner, and routines that continue running long after anyone reviews them.
The resources below help you decide what to monitor, design robust tests and document them properly. Use the opportunity selector and analytics test selector to choose candidates, the guide to design each test step by step, and the template to record logic, thresholds, owners and escalation.
5 free resources · No registration

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

Match each risk to a practical data test, the fields it needs and whether it suits one-off audit work or continuous monitoring.
PDF • 6 Pages • Free

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

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.
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