Proove introduces: AI-augmented project controls
We believe this is how project controls will work in the AI era.
For decades, project controls professionals have spent too much of their time handling data instead of acting on it. Proove has built an approach that changes this: an AI-augmented way of working that combines the reasoning power of AI, the reliability of Oracle Primavera Cloud, and the judgment of experienced project controls professionals.
The result is faster, more consistent and more impactful project controls.
The problem has not changed. Our approach has.
Project controls has a productivity problem that everyone in the profession recognizes. Building schedules, updating models, chasing data and producing reports: too much time goes into the mechanics of the work, and too little into what actually matters. Context gets lost. Knowledge walks out the door when people leave. Every new project reinvents the wheel.
We built our approach to solve exactly that.
What we have built
Our approach combines four essential factors:
Human guidance. AI does not replace project controls expertise. It amplifies it. Our professionals guide AI, validate its output and drive the decisions. That is not a workaround. It is the design.
Expert knowledge, embedded. The AI we use does not reason from generic training data. It draws on years of Proove project controls expertise, structured and made available to the AI as it works.
Real system integration. Our approach is built on Oracle Primavera Cloud, the industry standard for project planning and control. AI works directly inside the system your organization already uses.
Task automation that is actually useful. The mechanical work gets handed off to AI: building structures, generating activities, updating models. What is left for our professionals is the work that requires judgment.
What changes for your organization
We bring this approach directly to your projects. Our engineers use it on the ground, so the gains are immediate and don't depend on your team adopting new tools. The impact is not theoretical; we use this approach on real projects today.
Organizations that work with us this way see model generation in seconds rather than days. They retain knowledge across projects instead of losing it when teams change. They get consistent expert logic applied across every engagement. And their project controls teams spend more time on insight and decisions, and less time on data entry. For the professionals on those teams, the shift is significant. The work becomes more meaningful, and the impact becomes more visible.
Project controls is evolving into something far more impactful. From executing tasks to providing context. From building to challenging models. From reporting data to driving decisions. AI will not make anyone a great project controls professional; it makes great ones exceptional.
Ready to explore what this could mean for your projects?
Frequently asked questions
What is AI-augmented project controls? It is an approach in which AI handles the mechanical aspects of project planning and control, while expert professionals provide context, validate output and drive decisions. It connects AI to Oracle Primavera Cloud and draws on embedded project controls expertise, so the output is reliable and immediately usable.
Does AI replace project controls professionals? No. The expert role becomes more important, not less. AI takes over repetitive, data-heavy work. What remains is the work that requires real judgment: interpreting context, defining strategy, challenging output and communicating insight that drives decisions.
Which planning systems does this work with? Our approach is built on Oracle Primavera Cloud, the modern cloud-based planning standard most clients are contractually required to use.
Is this approach available today? Yes. We are using it on real projects now. If you want to explore what it could look like for your organization, we are happy to look into that together. Book a conversation with us to discuss your specific situation.