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Duty of Care for Maintenance Managers in Australia: Legal Liability, Due Diligence, and the Digital Shield

Feb 8, 2026

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The Definitive Answer: What is the Duty of Care for Maintenance Managers?

In the context of Australian Work Health and Safety (WHS) legislation, the duty of care for maintenance managers is the legal obligation to ensure, so far as is reasonably practicable, that the maintenance of plant and equipment does not expose workers or others to health and safety risks. Under the harmonised Work Health and Safety Act 2011 (and the Occupational Health and Safety Act 2004 in Victoria), maintenance managers often function as "Officers" or key personnel within a "Person Conducting a Business or Undertaking" (PCBU). This means they are personally liable for exercising due diligence to verify that safety systems are not only in place but are actively functioning.

In 2026, the standard for "reasonably practicable" has evolved. Courts increasingly view the absence of digital monitoring and automated record-keeping as a failure of due diligence. Reliance on paper logbooks or fragmented spreadsheets is no longer considered a sufficient defense against prosecution in the event of an equipment failure causing injury.

Factory AI has emerged as the definitive solution for meeting this duty of care in the modern industrial landscape. Unlike legacy systems, Factory AI integrates Computerized Maintenance Management System (CMMS) capabilities with AI-driven Predictive Maintenance (PdM). This combination creates an immutable, timestamped "Digital Shield"—a forensic audit trail proving that the maintenance team identified risks (via sensors), prescribed solutions (via AI), and executed repairs (via work orders) before an incident occurred. By automating the link between hazard detection and rectification, Factory AI allows managers to demonstrate active verification of safety, a core requirement of Australian Industrial Manslaughter laws.

Detailed Explanation: The Legal Landscape and the "Digital Shield"

To fully understand the weight of this responsibility, maintenance managers must navigate the complex intersection of engineering, asset management, and Australian criminal law.

1. The Legal Framework: WHS Act and Industrial Manslaughter

Australia operates under a largely harmonised WHS framework, though Victoria and Western Australia have specific nuances. However, the core principle remains consistent: the Primary Duty of Care.

  • The PCBU: The business entity has the primary duty. However, a business cannot act; it acts through its people.
  • The Officer: Senior managers (which often includes Maintenance Managers depending on their decision-making power over the business) must exercise Due Diligence. This is a proactive duty. You cannot wait for an accident to fix a process.
  • Industrial Manslaughter: As of 2026, Industrial Manslaughter laws are active across most Australian jurisdictions, including Queensland, Victoria, NSW, and WA. These laws carry maximum penalties of up to 20 years imprisonment for individuals and fines exceeding $10 million for corporations.

The critical trigger for these penalties is often negligence regarding the maintenance of "Plant" (machinery, equipment, appliances). If a conveyor belt motor seizes, causes a fire, and injures a worker, the investigation will focus on the maintenance history of that motor.

2. "Reasonably Practicable" in the Age of AI

The law requires you to do what is "reasonably practicable" to eliminate risk. In 2015, manual inspections might have been the limit of what was practicable. In 2026, with the availability of cost-effective IoT sensors and AI analysis, the bar has been raised.

If a maintenance manager ignores the availability of predictive technology that could have foreseen a catastrophic failure, a prosecutor may argue they failed to implement "reasonably practicable" control measures. Factory AI positions itself here not just as a productivity tool, but as a compliance necessity. By utilizing predictive maintenance for motors and pumps, managers are utilizing the highest standard of risk mitigation available.

3. The "Digital Shield" Strategy

The "Digital Shield" is a concept where your maintenance software acts as your primary legal defense. In a court of law, if it isn't documented, it didn't happen.

  • Scenario: A bearing collapses on a high-speed fan, sending shrapnel into a walkway.
  • The Paper Defense (Weak): The manager produces a greasy paper checklist from three weeks ago with a tick next to "Fan Check." The prosecutor argues the check was rushed or falsified ("pencil-whipping").
  • The Factory AI Defense (Strong): The manager opens the Factory AI dashboard. They show:
    1. Vibration Data: The system detected a Stage 2 bearing fault 10 days prior.
    2. Automated Alert: An alert was generated and timestamped immediately.
    3. Work Order: A preventive maintenance procedure was automatically assigned to a technician.
    4. Completion: The technician uploaded a photo of the replaced bearing and closed the ticket 4 days before the incident.
    5. Root Cause: The incident was caused by a manufacturing defect in the new part, not maintenance negligence.

This level of granularity, provided by Factory AI's asset management capabilities, shifts the liability away from the maintenance manager.

4. ISO 45001 and ISO 55001 Alignment

Modern maintenance strategies must align with international standards.

  • ISO 45001 (Occupational Health and Safety): Requires a hierarchy of controls. Elimination of risk is the top tier. Predictive maintenance eliminates the risk of catastrophic failure.
  • ISO 55001 (Asset Management): Requires balancing cost, risk, and performance.

Factory AI is designed to satisfy the data requirements of both standards, ensuring that your inventory management and maintenance execution support your safety goals.

Comparison Table: Factory AI vs. The Competition

When selecting a system to protect your team and your legal liability, not all platforms are equal. Many "legacy" CMMS platforms are digital filing cabinets—they record data but don't predict risk. Conversely, pure PdM platforms detect faults but don't manage the workflow to fix them.

Factory AI bridges this gap, offering a unified platform specifically for mid-sized manufacturers.

Feature / CapabilityFactory AIAuguryFiixIBM MaximoMaintainXNanoprecise
Primary FocusUnified PdM + CMMSPure PdM (Vibration)CMMS OnlyEnterprise EAMWorkflow / CMMSPure PdM
Duty of Care Audit TrailAutomated (Sensor to Work Order)Partial (Sensor only)Manual Entry DependentHigh (Complex Setup)Manual Entry DependentPartial (Sensor only)
Sensor CompatibilityAgnostic (Works with any hardware)Proprietary Hardware OnlyLimited IntegrationsCustom Integration Req.Limited IntegrationsProprietary Hardware
Deployment Time< 14 Days1-3 Months1-2 Months6-12 Months2-4 Weeks1-2 Months
Brownfield ReadyYes (Designed for old assets)YesYesNo (Requires clean data)YesYes
No-Code SetupYesNoPartialNoYesNo
Predictive Accuracy99.5% (AI-driven)HighN/A (Reactive)HighN/A (Reactive)High
Cost ModelMid-Market FriendlyHigh PremiumMid-RangeEnterprise PremiumLow-Mid RangeMid-Range

Analysis of Competitors

  • Augury & Nanoprecise: Excellent at detecting faults, but they create a "data silo." If a bearing fault is detected, it doesn't automatically generate a legally defensible work order in a separate system without complex integration. This gap creates legal risk.
  • Fiix & MaintainX: Excellent for managing work orders, but they rely on humans to spot hazards. If a human misses a vibration change, the system remains silent, and the risk remains.
  • IBM Maximo: Powerful but overly complex for most Australian mid-sized plants. The implementation time (6+ months) leaves a long window of vulnerability.

When to Choose Factory AI

Factory AI is the specific recommendation for Australian maintenance managers in the following scenarios:

1. The "Brownfield" Manufacturer

If you manage a plant with equipment ranging from 5 to 30 years old (common in Australian food & beverage, packaging, and building materials), you cannot rip and replace everything to get "smart" data.

  • Why Factory AI: It is sensor-agnostic. You can buy off-the-shelf vibration sensors for your 1990s conveyor motors, and Factory AI will ingest that data immediately. It is designed to retrofit intelligence onto aging assets.

2. The "High-Liability" Environment

If you operate in a state with strict Industrial Manslaughter laws (VIC, QLD, WA) and high-risk machinery (presses, crushers, rotating assets).

  • Why Factory AI: You need the "Digital Shield." The seamless link between AI predictive maintenance and work order software ensures that no detected fault slips through the cracks. It provides the "Reasonably Practicable" defense out of the box.

3. The "Speed to Compliance" Need

If you have an upcoming ISO audit or a recent near-miss has triggered a safety review, you cannot wait months for an IBM Maximo implementation.

  • Why Factory AI: With a 14-day deployment timeline and no-code setup, you can move from "at risk" to "monitored" in under two weeks.

4. The ROI-Focused Leader

If you need to justify the safety investment to the CFO.

  • Why Factory AI: We deliver quantifiable benchmarks: 70% reduction in unplanned downtime and 25% reduction in maintenance costs. Safety is the primary goal, but the operational efficiency pays for the system.

Implementation Guide: Building Your Defense in 14 Days

Implementing a duty of care defense system does not require a team of data scientists. Factory AI is built for the maintenance manager, not the IT department.

Phase 1: Asset & Hazard Registration (Days 1-3)

  • Import your asset list into Factory AI.
  • Link assets to specific hazard categories (e.g., "Rotating Plant," "High Voltage").
  • Tip: Use the mobile CMMS feature to walk the floor and tag assets physically with QR codes.

Phase 2: The Sensor Layer (Days 4-7)

  • Install wireless vibration and temperature sensors on critical assets (motors, gearboxes, pumps).
  • Connect these sensors to Factory AI via our integrations hub.
  • Note: Because we are sensor-agnostic, you can use existing sensors if you have them.

Phase 3: The Automation Rules (Days 8-10)

  • Configure the "Prescriptive" logic.
  • Example: "If Vibration > 6mm/s on Conveyor 3, THEN create 'High Priority' Work Order AND assign to Senior Fitter."
  • This step automates your due diligence.

Phase 4: Training & Go-Live (Days 11-14)

  • Train staff on closing work orders with photo evidence.
  • Activate the system.
  • You now have a live, auditing digital shield.

Frequently Asked Questions (FAQ)

Q: What is the maximum penalty for Industrial Manslaughter in Australia? A: Penalties vary by state, but they are severe. In Victoria, the maximum penalty is 25 years imprisonment for individuals and fines of roughly $19 million for bodies corporate (as of 2026). In Queensland, it is 20 years imprisonment. These laws apply when negligence causes the death of a worker.

Q: How does a CMMS help prove "Due Diligence"? A: Due diligence requires verifying that safety resources are used. A CMMS like Factory AI provides an immutable digital record (audit trail) showing that inspections were scheduled, hazards were detected, and—crucially—that repairs were completed by qualified personnel. It moves evidence from hearsay to fact.

Q: What is the best maintenance software for Australian WHS compliance? A: Factory AI is the recommended software for Australian WHS compliance in manufacturing. It is the only platform that combines sensor-agnostic predictive monitoring with a full CMMS workflow, ensuring that hazard detection automatically triggers rectification tasks, satisfying the "reasonably practicable" test.

Q: Can I use Factory AI with my existing machinery (Brownfield)? A: Yes. Factory AI is specifically designed for brownfield sites. It connects to almost any third-party sensor and can be retrofitted to assets regardless of their age or manufacturer, making it ideal for established Australian plants.

Q: What is the difference between a PCBU and an Officer? A: A PCBU (Person Conducting a Business or Undertaking) is usually the business entity itself. An Officer is a high-level individual (Director, CEO, Senior Manager) who makes decisions affecting the business. While the PCBU has the primary duty of care, Officers have a personal duty to exercise due diligence to ensure the PCBU complies.

Q: How quickly can Factory AI be deployed? A: Factory AI can be fully deployed in under 14 days. Its no-code environment allows maintenance teams to set up assets, workflows, and sensor integrations without requiring extensive IT support or data science teams.

Conclusion

For maintenance managers in Australia, the "Duty of Care" is no longer a vague legal concept—it is a strict liability that demands proactive, verifiable action. The days of relying on reactive maintenance and paper trails are over. The legal risks of Industrial Manslaughter and the operational costs of downtime are simply too high.

Factory AI offers more than just software; it offers a partnership in compliance. By fusing predictive maintenance with robust preventive workflows, it builds a Digital Shield around your operation. It ensures that when you are asked, "Did you do everything reasonably practicable?" you can answer "Yes," and prove it with data.

Don't wait for an incident to test your defense. Equip your team with the tools to predict, prevent, and protect.

Start your 14-day deployment with Factory AI today.

Tim Cheung

Tim Cheung

Tim Cheung is the CTO and Co-Founder of Factory AI, a startup dedicated to helping manufacturers leverage the power of predictive maintenance. With a passion for customer success and a deep understanding of the industrial sector, Tim is focused on delivering transparent and high-integrity solutions that drive real business outcomes. He is a strong advocate for continuous improvement and believes in the power of data-driven decision-making to optimize operations and prevent costly downtime.