From Industrial AI and the Mining AGI Platform to a Causal Neuro-Symbolic Mine-to-Market Framework: An Integrated Engineering Architecture for Mining Enterprises (Industrial Reference Edition)

Mining AGI Platform: Industrial Reference Architecture and Implementation Package for AI-Enabled Mining Operations (Frozen pre-pilot baseline) This archive contains the complete engineering package accompanying the Mining AGI Platform concept, developed as an industrial framework for the practical deployment of trustworthy AI and agent-based decision support in mining enterprises. Rather than presenting Artificial General Intelligence as an autonomous replacement for engineering judgment, the proposed approach defines AGI as a supervisory coordination layer operating above existing geological, mining, processing and business systems while preserving deterministic engineering calculations, regulatory compliance and human accountability. The package consists of three complementary documents: Industrial Reference Architecture — conceptual architecture of the Mining AGI Platform, including Knowledge Graph, Digital Twin, multi-agent orchestration, deterministic verification, explainable AI (XAI), Mine-to-Market integration, governance, uncertainty management, economic evaluation and phased industrial deployment. Industrial Implementation Specification — engineering requirements for industrial implementation, including Verification Layer, Golden Engineering Cases, controlled datasets, deterministic recalculation, tolerance management, K1–K4 decision gates, cybersecurity, configuration management, acceptance criteria, pilot methodology and mandatory implementation requirements. Pilot and Change Management Handbook — practical guidance for introducing the platform into operating mining enterprises through readiness assessment, historical replay, shadow mode, constrained pilots, organizational change management, training, governance and industrial scaling. A central principle of the architecture is the separation between AI-generated recommendations and deterministic engineering verification: Golden engineering cases → controlled dataset versions → agent execution → deterministic calculations → tolerance check → XAI evidence trace → K1–K4 decision gate → human approval → simulation / digital twin → production action The proposed framework is intended for open-pit and underground mining operations and covers the complete Mine-to-Market value chain, including exploration, geological modelling, mine planning, production, mineral processing, stockpile management, metal accounting, geometallurgy, maintenance, environmental monitoring and business decision support. The package is intended for researchers, mining companies, software developers, digital transformation teams and engineering organizations evaluating trustworthy AI architectures for industrial deployment.