Best practices for continuous internal control monitoring

Internal controls are often reviewed as a scheduled compliance exercise, with evidence gathered shortly before an audit or board meeting. That model is increasingly difficult to sustain. Insurers process large volumes of claims, premiums, payments and customer information across interconnected platforms, while finance teams must explain exceptions quickly and reliably.

A continuous monitoring program provides a more useful operating rhythm. It combines automated testing, management review, data analysis and targeted assurance to identify unusual activity while there is still time to correct it. The objective is not to monitor every transaction equally, but to focus attention on risks that could affect financial reporting, regulatory obligations, customer outcomes or operational resilience.

For Australian insurers, the approach also needs to reflect local accountability requirements. APRA’s CPS 230 Operational Risk Management, which commenced on 1 July 2025, places greater emphasis on service provider oversight, critical operations and tolerance for disruption. CPS 234 remains relevant to information security, while the Privacy Act 1988 and its Notifiable Data Breaches scheme shape the handling of personal information.

A sound program therefore connects the control environment with practical business decisions. It should give executives a clear view of emerging risks, help control owners act during ordinary working conditions, and provide auditors with dependable evidence. The strongest arrangements are designed around processes and risk outcomes rather than a collection of disconnected dashboards.

Define the risk and control universe

Start by creating a complete inventory of key processes, systems, legal obligations and control objectives. In an insurance organisation, this may include policy administration, claims settlement, reinsurance, premium receipting, investments, payroll, tax, customer administration and financial close. Each area should have a named control owner and a clear statement of the risk being addressed.

A control description should explain what happens, how often it happens, who performs it, what evidence is retained and what constitutes a failure. “Management reviews the report” is too vague to support reliable monitoring. A stronger description identifies the report, review criteria, completion deadline, escalation path and required sign-off.

Map controls to material risks and reporting assertions rather than simply listing procedures. This helps finance and accounting teams distinguish between a control that prevents an error and one that detects it later. It also prevents duplication when several business units monitor the same risk through different systems.

The map should be refreshed when products, vendors, systems or regulations change. An insurer launching a digital claims channel in Melbourne may create new identity, data quality and fraud risks that are absent from a traditional branch-based process. Treat the control universe as a living record, not an annual spreadsheet.

Prioritise monitoring through risk-based criteria

Continuous testing is most valuable when it is proportionate. Rank controls according to factors such as financial exposure, customer impact, regulatory sensitivity, transaction volume, history of failure, manual intervention and dependence on third parties. A high-volume payment control with previous exceptions deserves more frequent testing than a low-risk administrative approval.

Use a mixture of indicators. Preventive indicators might track whether access was approved before a user joined a system, while detective indicators could identify duplicate claims, unusual refunds or late reconciliations. Predictive signals may include rapidly increasing exception rates, repeated overrides by one team or a growing backlog after a platform release.

Clear thresholds are essential. Each monitored metric should have a defined normal range, warning level, escalation point and response owner. Thresholds can be static at first, then refined using historical data. Business teams should understand why an alert has been triggered and what action is expected, rather than receiving unexplained scores from an analytics tool.

The Australian insurance market includes national organisations, mutuals, brokers and specialist providers with very different technology maturity. A practical risk-based model allows a smaller insurer to begin with critical reconciliations and privileged access, while a larger group can apply continuous analytics across claims, underwriting and outsourced services.

Build reliable data and technology foundations

Monitoring cannot be stronger than its source data. Document where each data set originates, how it moves between systems and which fields are considered authoritative. Reconcile extracts to source totals, check for missing records and preserve the time and date of each refresh. These basic disciplines reduce false alerts and make results easier to defend.

Automation should support judgement rather than remove it. Rules-based tests work well for segregation-of-duties conflicts, overdue approvals, unmatched transactions and changes to master data. More advanced analytics can identify patterns in claims or payments, but results still require a trained reviewer who understands operational context and possible data limitations.

Access controls must cover the monitoring platform itself. Separate the people who configure tests, approve exceptions and close issues. Retain an audit trail for changes to rules, thresholds and source connections. This is particularly important when monitoring involves personal information, health details or payment data governed by Australian privacy obligations.

Select technology that integrates with existing finance, policy, claims and identity systems. A sophisticated platform that requires extensive manual uploads may create another control weakness. Pilot a small number of high-value tests, prove the data lineage, and expand only after control owners trust the results.

Make exception management actionable

An alert has little value if it becomes an item in an overflowing inbox. Establish a consistent workflow for triage, investigation, remediation and closure. Each exception should record its source, risk rating, owner, due date, root cause, action taken and supporting evidence. Repeated exceptions should be linked so management can see patterns rather than isolated symptoms.

Separate genuine control failures from data-quality issues, approved business events and harmless anomalies. For example, a large payment may be legitimate after a catastrophe event, while a series of small payments to a changed supplier account may require urgent investigation. Contextual review protects the program from both overreaction and alert fatigue.

Define escalation rules before problems occur. A missed reconciliation might go to a finance manager, while a suspected privacy incident, material misstatement or cyber-related control breach may require risk, legal, compliance and executive involvement. Escalation pathways should align with incident response and regulatory reporting processes.

Use root-cause analysis to improve the control environment. If exceptions arise because staff bypass a cumbersome approval process, redesign the workflow instead of repeatedly reminding people to comply. If a third-party administrator supplies incomplete files, address the service-level agreement, data specification and assurance evidence.

Assign ownership and strengthen governance

The board and executive team should receive information that supports decisions, not a catalogue of every test performed. Useful reporting may show the number of high-risk exceptions, overdue actions, recurring failure themes, control coverage across critical operations and trends by business unit. Results should be connected to risk appetite and operational tolerances.

Control owners remain accountable even when testing is automated. They need sufficient time, authority and training to investigate findings. Internal audit can provide independent assurance over design and operation, while risk and compliance teams can coordinate methodology, challenge results and monitor remediation.

A clear governance calendar helps maintain momentum. Monthly operational reviews may address exceptions and overdue actions, quarterly risk committees may examine themes, and board reporting may focus on material exposures and resilience. The timing should work with local business cycles, including the end-of-financial-year workload that affects Australian finance teams around 30 June.

Professional development also matters. Sessions on control monitoring practices can help accounting, technology and operations leaders compare approaches and understand how peers are combining assurance with data analytics. Shared language across these functions reduces the risk that monitoring remains isolated within internal audit.

Keep third-party and operational resilience risks in view

Outsourced claims handling, cloud hosting, payment services and customer contact operations can all influence an insurer’s control environment. Monitoring should therefore include vendor performance, access rights, incident notifications, subcontracting, business continuity tests and the timeliness of assurance reports.

CPS 230 makes the management of critical operations and service provider arrangements a central concern for APRA-regulated entities. Continuous oversight should test whether providers meet agreed service levels and whether the insurer can continue or recover important services within approved tolerance levels. A contract clause alone is not evidence that a control is working.

Evidence worth retaining

Operational resilience testing should reflect realistic conditions. A technology outage during a Sydney business day, a major weather event affecting regional customers, or a cyber incident over a public holiday may expose different weaknesses. Scenario exercises should test communications, manual workarounds, customer support and decision rights as well as system recovery.

Bring procurement, legal, information security and business continuity teams into the monitoring design. They often hold evidence that finance or risk teams do not see, such as vendor attestations, recovery test results and contract obligations. Combining these perspectives gives executives a more accurate view of dependency risk.

Measure maturity and improve the program

Maturity should be assessed by outcomes rather than by the number of automated tests. Useful measures include the percentage of critical controls monitored, time to detect and resolve exceptions, repeat failure rates, false-positive volumes, evidence completeness and the proportion of actions closed by their due dates.

Review the indicators themselves. A metric that produces thousands of alerts without meaningful action may be technically impressive but operationally weak. Conversely, a small set of well-designed tests can reveal important shifts in claims leakage, access risk or financial close quality. Ask whether each measure changes behaviour or informs a decision.

Build a feedback loop after incidents, audits, product launches and major system changes. Internal audit findings, regulator feedback, customer complaints and near misses should all feed into revised control tests. When a control is retired, record why and confirm that the underlying risk has not simply moved elsewhere.

Use recognised expertise to challenge assumptions and broaden capability. Industry speakers can offer perspectives on insurance accounting, insurtech, tax, risk management and customer administration that help teams connect monitoring with wider business priorities. Learning is most useful when it leads to a specific change in test design, reporting or ownership.

Signals of a healthy monitoring program

Begin with a focused pilot covering a few critical processes, establish trustworthy data and agree how exceptions will be handled. Then extend the model across finance, claims, technology and outsourced operations as confidence grows. A disciplined monitoring program gives Australian insurers earlier warning, stronger evidence and a practical basis for protecting customers and meeting executive and regulatory expectations.