Decision Cases for divisional productivity in mining
How a mining operator improved visibility, simulation, and operating control across 12 divisions without exposing sensitive systems.
Digital Twin Network · 12 Divisions · Real-time Simulation
Context and critical decision
The operation had abundant data, but productivity decisions still depended on aggregated reports and fragmented operating judgment. The question was not "which model to use", but how to turn operational signals into defensible decisions by shift, division, and scenario.
xStryk structured the problem as Decision Cases: each relevant decision was connected to approved evidence, operating constraints, accountable owners, comparable scenarios, and observed outcomes.
The public value is not exposing internal architecture; it is showing that each recommendation can be defended with evidence, simulation, and traceability.
xStryk approach
- Governed evidence layer for approved enterprise sources and operating context.
- Scenario simulation to compare consequences before approving operational changes.
- Governed review of recommendations with limits, owners, and approval criteria.
- Audited decision and outcome records to improve operating judgment over time.
Assurance before production
Before activating recommendations, the Decision Cases ran in a controlled mode to compare scenarios, review evidence quality, and calibrate adoption with operating teams. Deployment happened without replacing existing systems or publishing proprietary logic.
Results
In the first months of operation, the organization recorded +23% average divisional productivity and -31% unplanned stoppages, with decision-level traceability and sustained operational adoption.
- +23% average divisional productivity.
- -31% unplanned stoppages in critical equipment.
- More frequent planning based on scenarios and evidence.
- Executive traceability without exposing internal logic or sensitive data.
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