Texas Consultancy Develops AI to Address Project Challenges in the U.S. Energy Sector

A new Texas-based consultancy, ScheduleVantage, is introducing the use of advanced artificial intelligence (AI) to support energy projects. The company is developing a platform to help organizations access AI-based tools that enable more accurate and effective decision making.

In the energy sector, the consequences of faulty decisions can be severe. Even minor errors in planning or resource allocation can quickly grow into multi-million-dollar cost overruns, operational disruptions, and safety incidents. These setbacks often ripple far beyond a single project, increasing costs for consumers, and straining supply chains. With projects involving tens of thousands of variables and tasks, it can be difficult for teams to detect every issue in time to prevent cascading failures.

ScheduleVantage was founded by Guray Sumen, an experienced industry professional with more than three decades of experience managing large-scale oil, gas, and infrastructure projects. ScheduleVantage is training AI models to address these challenges in project and operational management. The AI models are trained on data from oil, gas, and infrastructure projects, as well as direct input from experienced engineers. Unlike human decision-makers, who can be influenced by limited experience or unconscious biases, the AI is being trained to objectively analyze vast amounts of information and compare thousands of data points across multiple projects and conditions. This level of analysis enables the system to evaluate patterns and scenarios far beyond what a single engineer or even a large team could reasonably process.

For small and mid-sized oil and gas firms in Texas, this development could provide significant benefits. Traditionally, only major corporations with significant budgets have been able to access high-level consulting services and sophisticated planning tools. ScheduleVantage aims to bridge that gap by delivering comparable and better insights through its AI platform at a fraction of the cost. By making these tools more accessible, the company seeks to help smaller firms compete more effectively, avoid costly mistakes, and complete projects more efficiently and safely.

Currently, the platform is under active development, with a focus on refining its core capabilities and validating performance through extensive internal testing.