How to implement continuous monitoring for financial controls

Financial controls are often reviewed through scheduled testing, quarterly certifications and annual audits. These activities remain important, but they can leave long periods in which errors, unusual transactions or process failures go undetected. A continuous monitoring program provides a more current view of control performance by analysing transactions, system activity and management information throughout the year.

For Australian insurers and insurance service organisations, the approach must connect finance, operations, technology, risk and compliance. It should support reliable reporting under AASB 17, respond to APRA expectations and work across modern policy administration, claims, payments and customer platforms. The strongest programmes are practical, risk-based and designed around decisions people can make quickly.

Define the control environment and risk priorities

Implementation starts with a clear map of the processes that affect financial accuracy, solvency, regulatory reporting and customer outcomes. Typical areas include premium billing, claims payments, reinsurance recoveries, broker commissions, investment income, payroll, procurement, general ledger journals and the AASB 17 reporting process. For each area, document the objective of the control, the risk it addresses, the responsible owner, the evidence produced and the system or data source involved.

A useful distinction is between preventive, detective and corrective controls. A system rule that blocks an unauthorised payment is preventive. A daily report identifying duplicate claims payments is detective. A documented recovery and root-cause review is corrective. Continuous monitoring can support all three, but it should not be treated as a replacement for every manual review or independent assurance activity.

Risk prioritisation should reflect the Australian operating environment. An APRA-regulated insurer may need stronger oversight of outsourced technology, service providers and operational resilience under CPS 230, while an organisation preparing financial statements must consider the requirements associated with the Corporations Act 2001 and applicable accounting standards. A control inventory that connects each monitoring rule to a risk, obligation and accountable executive makes the programme easier to defend during internal and external reviews.

Select meaningful indicators and data sources

The next step is to decide what signals will show that a control is working or beginning to weaken. Indicators should be specific enough to trigger action. Examples include manual journal entries posted after a reporting cut-off, payments released without the expected approval, claims settled outside authority limits, supplier bank details changed shortly before payment, inactive users retaining access and reconciliations completed after their due date.

Avoid measuring activity simply because the data is available. A high number of exceptions may reflect a poorly designed rule rather than widespread misconduct. Conversely, a clean report may provide false comfort if the underlying data excludes manual adjustments, spreadsheets or transactions processed outside the main platform. Each indicator needs a defined population, calculation method, threshold, review frequency and escalation route.

Data quality is often the hardest practical issue. Australian insurers may operate a mixture of legacy policy systems, cloud applications, data warehouses and specialist claims platforms. Finance teams in Sydney or Melbourne may receive extracts at different times from regional offices, intermediaries and offshore service providers. Establish data ownership, reconciliation checks and a documented lineage from the source transaction to the dashboard before relying on automated results.

Where personal or sensitive information is involved, monitoring should be designed with privacy and security obligations in mind. Limit access to what each role requires, retain only necessary fields and record how data is used. A control that detects unusual customer activity is valuable only when the organisation can investigate it lawfully and protect the information involved.

Build the monitoring workflow

A continuous control monitoring workflow usually has five practical stages: collect, test, assess, investigate and report. Data is collected from approved sources, rules test the relevant population, results are assessed against thresholds, exceptions are investigated and trends are reported to the people accountable for the process. The workflow may be automated, but ownership should remain human and explicit.

Start with a small set of high-value controls rather than attempting to monitor every process at once. For example, an insurer could begin with claims payments above delegated authority, changes to supplier bank accounts, unusual premium refunds, unreconciled cash balances and late financial close tasks. These areas often have clear data sources and measurable consequences, allowing the team to demonstrate value quickly.

Thresholds should be proportionate to the risk. A fixed dollar limit may work for one portfolio but create excessive alerts in another. Consider materiality, transaction volume, seasonality, customer type and historical behaviour. A claims pattern that is normal during a major weather event may look unusual in an ordinary month. Rules should therefore allow for context and be reviewed when products, systems, delegations or market conditions change.

Every exception should have a status, owner, due date and resolution record. Useful categories include confirmed error, approved business rationale, suspected fraud, data issue, control design weakness and false positive. This classification helps management see whether problems arise from individual behaviour, inadequate training, poor system configuration or a process that needs redesign. It also turns monitoring data into evidence for future control improvements.

Connect technology with governance and assurance

Technology can automate data extraction, rule execution, case management and reporting, but a dashboard alone is not a control framework. The organisation needs governance that explains who approves monitoring rules, who can change thresholds, who reviews exceptions and who reports overdue actions. Changes to a monitoring script should pass through a controlled process with testing, version history and sign-off.

Integration with existing governance forums is essential. Finance may review daily exceptions, operations may address recurring process failures, risk may assess the broader exposure and internal audit may use the results to inform assurance planning. Senior management should receive concise information about trends, overdue investigations, control failures and residual risk rather than a large list of unprioritised alerts.

The programme should also align with broader technology and resilience arrangements. Access management, change management, backup procedures and incident response affect the reliability of monitoring itself. If a data feed stops, a rule fails or a dashboard is unavailable during month-end, the organisation needs an alternative process and a clear notification path. This is especially relevant where critical services are supported by external providers under Australian regulatory expectations.

Communication supports control effectiveness in less obvious ways. Employees and intermediaries are more likely to engage with monitoring when its purpose is explained as protecting customers, financial integrity and professional standards rather than simply searching for blame. External credibility also matters for insurers operating in a competitive market; resources on earned media guidance can help connect trustworthy operational practices with wider brand authority.

Measure results and improve the programme

A mature programme measures whether monitoring reduces risk, not just how many alerts it produces. Relevant measures may include the time taken to resolve exceptions, repeat findings by process, value of prevented or recovered losses, percentage of controls supported by reliable data, overdue actions and the rate of false positives. Track these measures over time and compare them with operational events, audit findings and financial close performance.

Review the monitoring library at least annually and after significant change. New products, acquisitions, system migrations, outsourced arrangements, regulatory updates and major weather events can all alter the risk profile. In Australia, a summer bushfire season, flooding or cyclone can change claims volumes and payment patterns rapidly, so rules based on normal activity may require temporary adjustment without weakening oversight.

Independent validation gives the programme credibility. Internal audit or another suitably independent team can test whether the rules cover the intended population, whether exceptions are resolved appropriately and whether management information is accurate. External advisers may be useful for specialist areas such as data analytics, AASB 17 controls or technology risk, but accountability for the control environment should remain within the organisation.

Continuous monitoring should also feed learning. If a recurring exception is caused by confusing approval instructions, improve the procedure or training. If an interface produces incomplete records, fix the integration and add a reconciliation control. If staff routinely bypass a system because it slows urgent customer service, examine the process design rather than treating every workaround as an isolated breach. The goal is a feedback loop in which detection leads to better controls, cleaner data and more reliable decisions.

A practical rollout can begin with a risk assessment, a control and data inventory, and workshops involving finance, claims, operations, technology, risk and compliance. Select a handful of priority controls, define owners and thresholds, test results in parallel with existing procedures, then expand once the exception process is stable. Use the IASA Conference community, educational sessions and specialist exhibitors to compare approaches to insurance accounting, technology, risk management and customer administration.

Build the programme around evidence that people can act on: reliable data, clear ownership, proportionate thresholds and timely escalation. Establish the first monitoring controls, assign accountable reviewers and make performance part of regular management reporting so financial control becomes an ongoing business discipline rather than an annual exercise.