Building Better Project Controls With Automation

Project controls teams are spending too much time maintaining the system

Project controls should help organisations understand whether projects are performing as planned.

In practice, a significant amount of project controls effort is spent maintaining the processes required to produce that visibility.

Planners, cost engineers and project controls professionals routinely spend time:

• updating spreadsheets,

• extracting programme data,

• refreshing reports,

• reconciling different systems,

• preparing dashboards,

• checking progress,

• producing narratives,

• and manually distributing information.

These activities are necessary.

But they do not always represent the highest-value use of experienced project controls professionals.

As projects become larger and reporting requirements increase, the administrative burden grows with them.

Automation provides an opportunity to change that.

The problem is repetitive project controls workflows

Many project controls processes follow predictable patterns.

A reporting cycle may require the same sequence every week or month:

• export programme data,

• manipulate information,

• update trackers,

• compare current and previous periods,

• identify movement,

• prepare charts,

• write commentary,

• and distribute outputs.

The information changes.

The underlying process often does not.

This makes project controls particularly suitable for automation.

Instead of asking people to repeatedly perform the same administrative steps, automated workflows can complete much of the preparation before a professional begins their analysis.

That allows project controls teams to focus on what the information actually means.

Automation can improve programme reporting

Programme reporting is one of the clearest opportunities.

A complex Primavera P6 programme can contain thousands of activities.

Understanding what changed between reporting periods can require significant manual review.

Automation can help identify:

• activities that have moved,

• missed milestones,

• changes to critical or near-critical paths,

• float deterioration,

• logic changes,

• new or removed constraints,

• progress anomalies,

• and forecast movement.

Rather than manually searching through the programme, planners can receive a structured view of the areas requiring attention.

The planner still provides the delivery context.

But the process of finding the relevant information becomes substantially faster.

Reporting should be generated from the data, not rebuilt every cycle

A common weakness in project controls environments is that reporting is repeatedly reconstructed.

Information is exported from one system.

Copied into another.

Manipulated in Excel.

Transferred into PowerPoint or Power BI.

Then supplemented with manually written commentary.

The same process is repeated again during the next reporting period.

This creates:

• unnecessary manual effort,

• additional opportunities for error,

• inconsistent reporting,

• version-control problems,

• and dependence on individual team members.

Automation allows reporting outputs to be generated more consistently from underlying project data.

That does not remove the need for review.

It removes the need to rebuild the same reporting structure repeatedly.

Automation can improve consistency

Manual project controls processes are heavily dependent on individuals.

Two planners may review the same programme differently.

Two teams may maintain similar trackers using different methods.

Reporting quality may change depending on workload, deadlines or available resources.

Automation can introduce a consistent baseline.

Checks can be applied using the same logic every reporting period.

For example, a workflow can consistently identify:

• long-duration activities,

• open-ended logic,

• excessive float,

• overdue activities,

• late predecessors,

• constraint usage,

• and changes to key milestones.

The professional can then determine whether those findings represent genuine delivery concerns.

This combination of automated consistency and human judgement can strengthen project controls assurance.

Project controls teams can spend more time analysing

The purpose of automation should not simply be to make existing tasks faster.

The larger benefit is creating capacity.

If a planner spends several hours preparing reporting information, those hours cannot also be spent:

• challenging delivery teams,

• reviewing critical paths,

• understanding delays,

• improving programme logic,

• forecasting future performance,

• or developing recovery options.

Automation reduces the amount of effort required to prepare the information.

That creates more time for the activities where professional experience provides the greatest value.

The role begins to shift from maintaining reporting processes toward understanding project performance.

Manual trackers are another major opportunity

Complex projects often accumulate large numbers of spreadsheets and trackers.

Examples can include:

• milestone trackers,

• change registers,

• risk trackers,

• action logs,

• lookahead reports,

• progress trackers,

• supplier trackers,

• and reporting registers.

Many of these tools require information that already exists elsewhere.

People then manually copy that information between systems.

This creates duplicated effort and increases the risk of different teams working from different versions of the same information.

Automation can help connect these workflows.

Where appropriate, information can be transferred, validated and updated automatically rather than repeatedly entered by project teams.

Automation can improve data quality

Manual data handling creates opportunities for mistakes.

Cells can be overwritten.

Formulas can break.

Dates can be copied incorrectly.

Reports can be generated from old versions.

Different trackers can gradually become inconsistent.

Automation does not eliminate data-quality problems automatically.

But well-designed workflows can reduce unnecessary manual handling and introduce repeatable validation checks.

For example, automated processes can identify:

• missing data,

• conflicting dates,

• unusual programme movement,

• incomplete records,

• duplicate information,

• and inconsistencies between reporting periods.

This allows teams to identify potential problems before information reaches formal reporting.

Better automation does not mean automating everything

Not every project controls activity should be automated.

Many decisions require:

• delivery knowledge,

• contractual understanding,

• professional judgement,

• stakeholder discussion,

• and an understanding of project context.

An automated system may identify that float has reduced.

It cannot automatically determine whether the change is operationally acceptable without understanding the wider project.

Automation is most useful when applied to repetitive, rules-based and data-heavy processes.

People remain responsible for interpretation and decision-making.

The objective is to remove unnecessary manual effort around professional judgement, not the judgement itself.

The biggest gains come from redesigning workflows

Simply automating individual spreadsheets can create useful efficiencies.

But larger benefits appear when organisations reconsider the entire project controls workflow.

Instead of asking:

"How can we automate this spreadsheet?"

A more valuable question is:

"Why does this information need to pass through this spreadsheet at all?"

This can reveal processes that exist largely because of limitations in historic systems or ways of working.

A redesigned workflow might connect:

• programme data,

• progress information,

• commercial records,

• operational updates,

• and reporting outputs.

Information can then move through the delivery environment with significantly less manual intervention.

Automation creates a foundation for better project intelligence

Automation and AI are closely connected, but they solve different parts of the problem.

Automation is particularly effective at moving, processing and structuring information consistently.

AI can then help interpret larger amounts of that information.

A project controls environment might automatically:

• extract programme data,

• compare reporting periods,

• calculate performance changes,

• identify exceptions,

• and prepare structured information.

AI can then help teams interrogate those findings and identify patterns requiring further investigation.

Automation creates the reliable information flow.

Intelligence helps teams understand what the information means.

Project controls roles are likely to become more valuable

Reducing administrative effort does not reduce the importance of project controls professionals.

It can increase it.

When less time is required to maintain reports and trackers, experienced professionals can spend more time applying the skills organisations actually need:

• analysis,

• forecasting,

• challenge,

• assurance,

• scenario planning,

• coordination,

• and decision support.

The value of the profession moves further away from producing information and toward interpreting it.

That is a stronger role for project controls within the wider delivery organisation.

Organisations should start with the highest-friction processes

Automation does not need to begin with a major technology programme.

Many organisations already have obvious processes that consume disproportionate amounts of time.

Good starting points often include:

• repetitive reporting,

• programme comparison,

• data extraction,

• manual trackers,

• progress consolidation,

• reporting pack preparation,

• and routine quality checks.

These processes are typically easier to define because teams already understand how they operate.

Automating them can create measurable improvements quickly while helping organisations understand where further opportunities exist.

Conclusion

Project controls teams should not need to spend large parts of every reporting cycle rebuilding information that already exists.

Manual reporting, duplicated trackers and repetitive data processing consume capacity that could instead be used to understand and improve project performance.

Automation can reduce that burden.

Used properly, it can create more consistent workflows, improve data quality, accelerate reporting and give project professionals more time to analyse, challenge and forecast.

The objective is not to automate project controls professionals.

It is to automate the repetitive processes surrounding them.

Because better project controls come from giving experienced people more time to control the project, not the reporting process.