Bergbau Planning Agent: mine design and scheduling in a day – key notes for planners
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
Bergbau has launched its Planning Agent, an AI-driven mine planning tool that converts plain-language instructions into mine designs, production schedules and reports. In a training demonstration, the system processed a full study from block model through optimisation, pit or stope design, sequencing and resource-constrained scheduling to final reporting in about one working day. For planners, this points to rapid iteration on scenarios and reduced manual hand-offs between traditional packages, while still relying on engineers to validate geotechnical, haulage and processing assumptions.
Technical Brief
- Planning Agent ingests existing block models directly, avoiding manual reformatting between separate mine planning packages.
- Plain-language prompts can specify constraints such as bench heights, minimum mining widths or dilution assumptions.
- The system chains multiple optimisation and design tools in sequence, rather than requiring manual file hand‑offs.
- Intermediate outputs (optimised shells, pit or stope designs, schedules) remain accessible for engineer review and override.
- Workflow is designed so geotechnical, haulage and processing parameters must still be defined by domain engineers.
- Automation particularly targets repetitive scenario reruns when commodity prices, costs or cut‑off assumptions change.
- For similar projects, the approach suggests shorter feedback loops between resource modelling, mine design and financial evaluation.
Our Take
The one-working-day turnaround from block model to schedule in this Planning Agent demo suggests a potential fit with testbed environments like Wolfram Bergbau und Hütten AG’s Mittersill tungsten mine, where rapid iteration on designs and sequences is already being trialled for new underground equipment.
International Mining’s recurring coverage of Wolfram Bergbau und Hütten AG—from green hydrogen supply in Styria to tailings retreatment offtake with Almonty—signals that AI-based planning tools could be most attractive to vertically integrated or long-contract operators needing to frequently re-optimise mine plans against downstream commitments.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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