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Maintenance Intelligence: Turning Work Orders into Better Decisions

Maintenance+ helps teams do more than complete maintenance work.

When maintenance is captured consistently, every work order becomes part of a bigger picture. It helps your team understand asset condition, maintenance effort, recurring issues, operational status and compliance history.

This is what we mean by maintenance intelligence.


What is maintenance intelligence?

Maintenance intelligence is the insight created when maintenance activity is recorded in a structured way.

A completed work order tells you what happened.

A completed work order with priority, estimated hours, actual hours, fault codes and lifecycle status tells you much more.

It can help answer questions such as:

  • What work was completed?

  • What work is still open?

  • Which maintenance tasks are urgent?

  • Which tasks take longer than expected?

  • Which assets have recurring faults?

  • Which assets are operating, non-operating or decommissioned?

  • Which assets are still in the yard but no longer in service?

  • Can we prove an asset has been decommissioned?

  • Are our maintenance plans still fit for purpose?

Maintenance intelligence helps teams move from simply recording maintenance to learning from maintenance.


Why configuration matters

The value of Maintenance+ grows when the right information is captured from the beginning.

If tasks are completed without priority, hours, fault codes or lifecycle context, your team may still know that maintenance was completed.

But it becomes harder to understand patterns, compare effort, report on asset status or provide evidence later.

Good configuration helps your team capture useful information consistently.

This includes:

  • Priorities

  • Estimated hours

  • Actual hours

  • Fault codes

  • Lifecycle status

  • Maintenance history

When this information is recorded consistently, it becomes easier to report on maintenance activity and make better decisions.


Priorities: understanding urgency

Priority helps your team classify how urgent or important maintenance work is.

Aquipa includes default priority items:

  • Critical

  • High

  • Medium

  • Low

  • Unknown

Priorities help teams focus on the work that matters most.

For example, a Critical task may need immediate attention, while a Low priority task may be routine or less urgent.

Priorities can help Maintenance Managers understand:

  • Which work needs immediate attention

  • Which work is routine

  • How much maintenance activity is critical, high, medium or low priority

  • Whether urgent work is being resolved in time

  • Where resources should be focused first

Priorities can also be configured in the Configuration Panel under the Maintenance module. Custom priorities can include a rank, label, description and action required.

Priority can also be made mandatory when creating tasks and task templates. This helps ensure maintenance work is classified consistently from the start.


Estimated hours vs actual hours: understanding effort

Estimated hours show how long a task or work order is expected to take.

Actual hours show how long the work really took.

Comparing estimated hours with actual hours helps Maintenance Managers understand whether maintenance planning is accurate.

This can help answer questions such as:

  • Are our maintenance estimates realistic?

  • Which tasks regularly take longer than expected?

  • Which assets require more maintenance effort?

  • Are we allowing enough time for planned maintenance?

  • Do we need to adjust future scheduling?

  • Do we need different skills or resources for certain task types?

This helps teams improve planning over time.

Instead of only knowing that work was completed, you can also understand how much effort it required.


Fault codes: understanding recurring issues

Fault codes help standardise how maintenance issues are recorded.

Fault codes are configured in:

Configuration Panel > Maintenance > Fault Library

When creating a fault, you give it:

  • Code

  • Label

  • Description

These fault codes can then be assigned to maintenance tasks so issues can be tracked consistently.

This is useful because free-text descriptions can vary between users. One person may write “hydraulic leak”, another may write “oil leak”, and another may write “hose leaking”.

A fault code gives the team a consistent way to classify the issue.

Over time, fault codes can help Maintenance Managers identify:

  • Which fault types occur most often

  • Which assets have recurring issues

  • Which issues create the most maintenance work

  • Which faults should trigger preventative action

  • Which maintenance plans may need to be reviewed

  • Which issues are isolated events versus recurring trends

Fault codes help turn individual maintenance tasks into useful reporting data.


Lifecycle status: understanding asset state

Lifecycle status helps your team understand and report on the operational state of an asset.

In Aquipa, lifecycle status can be used to categorise assets based on where they sit in their operational lifecycle.

The main lifecycle statuses are:

  • Operating

  • Non-Operating

  • Decommissioned

Lifecycle status is useful because maintenance teams need to know whether assets are active, inactive or permanently removed from operation.

It also gives teams a way to report on assets by operational state.


Reporting on Operating assets

An Operating asset is active and eligible for use.

Reporting on Operating assets can help teams understand:

  • Which assets are active

  • Which active assets have maintenance plans

  • Which active assets have open work orders

  • Which active assets have overdue maintenance

  • Which assets are available for work

For Operating assets, teams may need to ensure the correct maintenance plans are configured and current maintenance work is being managed.


Reporting on Non-Operating assets

A Non-Operating asset is inactive or not currently functioning.

This status is useful when an asset is temporarily out of service but still needs to be managed.

Reporting on Non-Operating assets can help teams understand:

  • Which assets are inactive

  • Why assets may not be available for work

  • Whether maintenance is required before they return to service

  • Which assets may need attention before becoming operational again

  • Which assets should not trigger unnecessary maintenance activity

This helps teams manage inactive assets without losing visibility of them.


Decommissioned assets as audit evidence

A Decommissioned asset has been permanently removed from operation.

The Decommissioned lifecycle status is especially valuable from an audit and compliance perspective.

An asset may still be physically present in a yard, depot or storage location, even though it is no longer active or available for use.

During an audit or review, someone may ask:

“Why is this asset in the yard, and is it still in service?”

If the asset has been marked as Decommissioned in Aquipa, the business has a clear record showing that the asset is no longer operational.

This helps provide evidence that:

  • The asset has been removed from operational use

  • The asset is not part of the active fleet

  • The asset should not be treated as available for work

  • The asset has a lifecycle record showing its current status

  • Historical maintenance and compliance records are still retained

  • The asset’s status can be explained during an audit or review

Decommissioned status is not just a label. It is useful evidence that an asset has been formally removed from operation while still retaining its historical record.


Maintenance history: understanding what happened over time

When work orders are completed and closed, they become part of the asset’s maintenance history.

This history helps teams understand:

  • What maintenance was completed

  • When it was completed

  • Who completed the work

  • What checklist results were recorded

  • What comments or evidence were added

  • Whether any issues were found

  • Which fault codes were assigned

  • What priority was recorded

  • How long the work was expected to take

  • How long the work actually took

Over time, this creates a clearer picture of how an asset has been maintained.


How maintenance intelligence helps Managers

Maintenance intelligence helps Maintenance Managers make better decisions.

It can support:

  • Maintenance planning

  • Resource allocation

  • Risk management

  • Audit preparation

  • Asset reporting

  • Compliance reviews

  • Preventative maintenance improvement

  • Identification of recurring issues

  • Better scheduling and forecasting

Instead of relying on memory, disconnected spreadsheets or inconsistent notes, Managers can use structured maintenance records to understand what is happening across their assets.


How Technicians contribute to maintenance intelligence

Technicians play an important role in creating useful maintenance intelligence.

The information recorded during task completion helps build the maintenance record.

Technicians support better reporting by:

  • Completing checklist items accurately

  • Adding useful comments

  • Uploading supporting evidence where required

  • Recording actual hours where required

  • Applying fault codes where required

  • Submitting tasks for review

Good task completion helps Managers understand what happened and make better decisions later.


Simple example

A Technician completes a hydraulic inspection task.

They record that the task took 2.5 actual hours, select a hydraulic fault code, add a comment explaining the issue and submit the task for review.

The Maintenance Manager can now see:

  • The task was completed

  • How long it took

  • What type of fault was found

  • Which asset the fault relates to

  • Whether similar faults have occurred before

  • Whether the maintenance plan may need to be reviewed

This is maintenance intelligence in action.


Summary

Maintenance+ helps teams manage work orders, but the real value grows when each work order captures useful information that can be reported on, reviewed and used to improve maintenance decisions over time.

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