How AI is Shaping the Future of Project Controls

The introduction of ChatGPT in November 2022 served as the first sign that the age of artificial intelligence (AI) had arrived for everyone. This event reignited imaginations as well as redefining what is technologically possible in our time. As AI becomes increasingly integrated into our daily interactions, it’s essential to ask: How will AI impact project controls in the coming years?

For project controls professionals, AI represents more than just a technological trend—it promises a shift in how we manage data, predict outcomes, and optimize project performance. While some may fear being replaced by AI, the reality is more nuanced. AI is here to assist the role of project controls experts, not replace them. Let us be your guide to the current landscape of AI tools available for our industry.

What is AI Doing for Project Controls Today?

Before ChatGPT and other AI tools became mainstream, artificial intelligence seemed like the stuff of science fiction. Now, just a few short years later, AI is now embedded in household items ranging from smart toilets to baby strollers. But what about its potential in our industry?

In the context of project controls, AI works differently from traditional software. Previous systems relied on rule-based algorithms that transformed inputs into predictable outputs. AI, however, simulates human intelligence through machine learning, making it uniquely suited for handling tasks that involve large data sets, pattern recognition, and predictive analytics.

This means AI can manage tasks that are time-consuming or data-intensive, such as resource allocation, schedule optimization, and risk management. For example, AI can forecast project delays or automatically adjust resource loads based on historical data, freeing up professionals to focus on creative problem-solving and strategic decision-making.

How AI Augments, Not Replaces, Project Controls

One of the biggest misconceptions is that AI will replace the human workforce. While automation is certainly a key feature, it’s important to understand that AI tools are best suited for augmenting human capabilities rather than replacing them. Proove believes that AI can assist in delivering more accurate and structured outcomes, improving efficiency, and augmenting our ability to predict future project scenarios. This means that tasks that require creative problem-solving, emotional understanding, or subjective judgment are still best performed by humans. Despite the benefits offered by AI, it is of paramount importance that the final decision still rests with experienced project controls professional who understand the nuances of the project environment.

Separating Fact from Fiction in AI’s Role

With the flood of AI tools now available, how do you separate fact from fiction? To identify areas of your organization that would genuinely benefit from AI integration. First ask yourself:

• Do you need to automate resource loading allowing more time for strategic tasks?

• Do you have historical data and want a competitive advantage during bidding?

• Do you want to run multiple, parallel scenarios to propose the best execution plan?

If you answered yes to any of the above, AI might be a powerful tool for your organization.

A Practical Path to AI Adoption

Before rushing to speak with vendors, it’s crucial to conduct a comprehensive internal audit, reviewing your organization’s data management processes, from generation to storage. Remember, if all of your organizational data only exists between the ears of your employees, it cannot be leveraged by AI. The Volume, Veracity, Variety, Velocity, and Value of your stored data will directly affect the insights AI can provide.

A comprehensive internal audit will also allow you to identify specific use cases where AI can deliver immediate benefits. Once the use cases are clear and the business case is developed, the next step is to evaluate the AI tools available in the market. This is where Proove’s proprietary filtering mechanism can help identify which tools deliver the most value based on four key areas: AI Approach, Database Model, Project Controls Knowledge Area, and Value Creation.

By assessing AI tools through this framework, you can avoid falling into the trap of chasing shiny new technologies that don’t deliver real benefits. Instead, you’ll focus on tools that solve your organization’s specific needs while providing the best return on investment.

Actionable Steps for Project Controls Professionals

1. Audit Your Data: Start by reviewing your current data practices. Ensure that your data is structured, clean, and comprehensive.
2. Identify Use Cases: Pinpoint areas in your organization where AI can have the most immediate impact, such as automating resource planning, optimizing schedules, etc.
3. Evaluate Tools: Use Proove’s framework to compare AI tools and ensure alignment with your specific organizational goals and maximize a return on your investment.
4. Human in the Loop: Remember, AI is not here to replace your role. Use AI to handle data-heavy tasks while focusing your time on high-level strategic decision-making.

The Future of Project Controls with AI

Project Controls is not immune to the transformative effect that AI is already having on many different industries. However, those who embrace the change have the ability to gain from this transition. As Proove, we continue to explore the software landscape for the most value-adding AI tools and we encourage professionals to take proactive steps in exploring AI integration. The future is bright for those who are ready to embrace it.