Agentic AI refers to autonomous systems of AI agents that reason, plan, and act independently to solve complex problems, making them ideal for addressing mining’s production gaps—such as unplanned downtime, inefficient scheduling, and reactive decision-making tied to tools like Excel-based Short Interval Control (SIC)(Transforming Mining with Agentic AI – Break the Future, n.d.).
These digital planners form networks of cooperative agents handling tasks like real-time monitoring, maintenance scheduling, logistics, and inventory management. Unlike traditional automation, they detect deviations instantly—for instance, rescheduling loads if a truck fails mid-shift—and coordinate responses proactively(Transforming Mining with Agentic AI | Global Mining Review, n.d.).
Agentic AI transforms operations from reactive to predictive by leveraging sensor data to forecast equipment failures weeks in advance, optimize ore grades, and automate safety checks. This approach can reduce downtime by 50–70% and lower operational costs by 40–60%. Early adopters are already seeing 15–25% fewer unplanned stoppages, 10–20% higher processing efficiency, and 5–15% energy savings(Agentic AI in Mining | Vstorm, n.d.).
Reference:
-
Agentic AI in Mining | Vstorm. (n.d.). Retrieved February 24, 2026, from https://vstorm.co/agentic-ai-in-mining/
-
Transforming Mining with Agentic AI | Global Mining Review. (n.d.). Retrieved February 24, 2026, from https://www.globalminingreview.com/mining/13062025/transforming-mining-with-agentic-ai/
-
Transforming Mining with Agentic AI – Break the Future. (n.d.). Retrieved February 24, 2026, from https://breakthefuture.com/2025/06/transforming-mining-with-agentic-ai/
