Why Labor Cost Visibility and Auditability Matter More Than Most Utilities Realize

Point of View

Utilities are investing heavily in infrastructure.

Transmission expansion. Grid modernization. Renewable integration. System hardening.

These are large, complex programs—and a significant portion of that investment is labor.

Crews in the field. Contractors across projects. Time tied to work orders, cost centers, and financial classifications.

Most organizations assume they have a handle on it.

They track time. They run payroll. They generate reports.

But that doesn’t necessarily mean they understand where labor is actually going.

Tracking time is not the same as understanding labor

Most utilities have systems and processes in place to collect time.

Crews submit hours.
Contractors provide time worked.
Work is managed in systems like NetSuite.

That supports basic operational needs.

But collecting time is only the starting point.

The real question is whether that data is:

• Accurate
• Consistent
• Aligned with how work is actually performed
• Available in a way that supports reporting and review

If it isn’t, then the organization may be tracking time without truly understanding it.

Small gaps in process lead to larger issues over time

The challenges are usually not dramatic.

They show up in small, everyday ways:

• Time entered after the work is completed
• Differences in how crews and contractors record time
• Work that doesn’t map cleanly to system structures
• Approvals made without full context

Individually, these may seem manageable.

At scale, they introduce inconsistency into the data.

And once that inconsistency exists, it becomes more difficult to:

• Reconcile labor across projects and systems
• Maintain clear audit trails
• Support reporting requirements
• Answer basic questions about where time was spent

As programs scale, so does the importance of data quality

In smaller environments, these issues are often absorbed.

At utility scale—hundreds of crews, thousands of workers, multiple concurrent projects—they become more visible.

Organizations may find themselves spending more time:

• Reconciling data across systems
• Preparing for internal or external reviews
• Explaining how labor was allocated

This is not necessarily a failure of systems.

It is often a reflection of how difficult it is to maintain consistent, accurate data across complex operations.

This is not just a time tracking issue

It is a data quality issue.

And ultimately, it is a business visibility issue.

If labor data is not:

• Captured accurately
• Aligned with projects and work orders
• Consistent across teams and contractors
• Supported by clear records and approvals

…then it becomes harder to rely on that data for:

• Financial reporting
• Operational decisions
• Compliance processes

Organizations may still have data.

But they may not have confidence in it.

Improving labor data starts with how it is captured and managed

Organizations that improve labor data quality tend to focus on a few key areas:

• Capturing time closer to when work is performed
• Aligning time entry with project and work order structures
• Applying validation and approval workflows consistently
• Maintaining clear records of changes and approvals
• Integrating time data with existing systems such as NetSuite

None of these are new ideas.

But applying them consistently across an organization is where the challenge—and the opportunity—exists.

Supporting these processes with the right systems

Solutions like Journyx are designed to support organizations in improving how labor data is captured and managed.

This includes:

• Capturing time and labor data across employees and contractors
• Applying configurable validation and approval workflows
• Reporting on labor across projects, tasks, and cost structures
• Maintaining audit trails and historical records
• Integrating with existing ERP and project systems

The goal is not to replace core systems.

It is to make the data within those systems more accurate, consistent, and usable.

The takeaway

Most utilities are already collecting labor data.

The question is how well that data reflects what is actually happening in the field.

Understanding labor is essential to understanding:

• Project costs
• Operational performance
• Financial outcomes

And that understanding depends on the quality of the underlying data.

A question worth asking

If you needed to review how labor was allocated across projects, would your current processes provide a clear and consistent answer?

Learn more

Journyx helps organizations improve how they capture, validate, and report on labor data across projects, teams, and contractors—while integrating with systems like NetSuite.