For one leading AEC firm, the first challenge in any construction project lays beneath the surface, literally. Before they can even decide whether a construction opportunity is worth pursuing, they need to understand the soil type. But doing so requires expensive and time-consuming manual testing like borehole testing, with results that aren’t always reliable—as this customer has experienced with previous construction projects. In past projects, each misstep in this early assessment risked inaccurate bids, unexpected structural challenges, and budget overruns long before the first brick was laid.
To address these early-stage risks, this firm partnered with CloudMoyo to use agentic AI models that predict soil types based on historical and geolocation data. The AI-driven solution—built on Microsoft AI, Power BI software, and Azure Data Factory—demonstrated how agentic AI systems can learn, analyze, and act autonomously, turning raw data into precise predictions without manual input.
This project quickly grew beyond a single predictive model, becoming a key step toward enterprise automation powered by agentic AI. It laid the groundwork for scalable adoption and stronger data management across the organization.
Discover how CloudMoyo’s intelligent agent architecture helped transform data into a competitive edge>>>
