AI-Augmented Project Controls
Making our Project Controls service even better
The Proove team has built a strong reputation for delivering Project Controls on complex projects, supported by broad expertise across Project Controls domains, best practices, tools and industries.
We have always been more than a staffing agency. Our Project Controls engineers are backed by the wider Proove team and can count on specialists in areas such as EVM, claim analysis, Primavera P6 and Power BI whenever needed.
AI-Augmented Project Controls takes this one step further: the knowledge of our experts is captured in the Proove Knowledge Base and made directly accessible to every engineer through AI. AI also allows us to automate selected execution tasks.
The result is a Proove engineer who can draw more directly on our collective expertise and spend more time challenging, advising and helping your project team make better decisions.
How AI helps us deliver better Project Controls
1. Access the expertise of the wider Proove team
The Project Controls engineer working on your project is not limited to their own experience. AI gives them direct access to the collective Project Controls expertise of the wider Proove team, captured and structured in the Proove Knowledge Base (PKB). The knowledge of our EVM specialist, for example, becomes available to your engineer exactly when they need it.
The same applies to knowledge built up on your project. Key assumptions and decisions, stakeholder information, project-specific rules and other relevant context are continuously captured and made reusable. Knowledge that would traditionally remain in the heads of individual team members becomes available to other Proove engineers supporting your project.
2. Automate execution
Our Project Controls engineer can spend less time manually building and maintaining models, and more time using them to support your project. AI can take over selected execution tasks that traditionally require significant manual work.
Today, this already includes use cases such as:
- Creating a WBS
- Developing a schedule
- Controlling a schedule
To enable this, we have developed Proovio, our internal AI platform for Project Controls. Proovio can create and modify project structures, activities, relationships and other scheduling data directly in Oracle Primavera Cloud, based on your project context and under the guidance of the Project Controls engineer.
The engineer remains firmly in control: AI executes, while the Proove engineer provides context, guides, validates and decides.
I’m now able to focus on what truly matters!
More time to create value
Speed is not the objective.. AI gives our engineers access to more knowledge while reducing repetitive execution work.
The result is more time for the activities where experienced Project Controls professionals create the most value: understanding your project, challenging assumptions, identifying issues and helping your team make better decisions.
AI doesn’t replace great Project Controls engineers.
It makes them better.
Knowing whether the model makes sense still requires expertise.
Human expertise remains essential
AI changes how parts of Project Controls are delivered, but not who is accountable for the result. AI-generated structures, schedules and recommendations need to be understood, challenged and validated.
That requires Project Controls expertise. Our engineers are carefully selected and trained through the Proove Academy, giving them the foundation needed to provide the right context, critically assess AI-generated output and recognize when something does not make sense.
That human-in-the-loop approach is fundamental to AI-Augmented Project Controls. AI can reason and execute, but the Proove engineer continues to guide, challenge, validate and decide.
Ready to experience AI-Augmented Project Controls?
Frequently asked questions
What are the risks of AI-Augmented Project Controls?
AI can be extremely powerful in the hands of an experienced professional, but it does not replace professional judgement. AI-generated output must be critically reviewed and validated. Without that critical eye, AI can also reinforce mistakes or lead to lower-quality results. That is why our Project Controls engineer remains in the loop and accountable for the work. AI supports the professional; it does not remove the need for expertise.
Is our project information secure when AI is used?
We only use this AI augmented Project Controls setup on a client project with the client’s permission; Proove uses enterprise LLM environments designed to protect the information provided and in which client data is not used to train the underlying models.
Can we use Proovio ourselves?
Proovio is currently used by Proove to augment the Project Controls services we deliver. It is still in development and is not currently offered as a standalone commercial software product. If you are interested in exploring similar ways of working within your own organization, contact us and we can look at the possibilities together.