development. The successful implementation of the first Clean Skin program provided validated evidence of scalability, which was subsequently demonstrated in 2023 through the replication of the model via the incorporation of female safety spotters for auxiliary equipment operations. Conclusions The implementation of the autonomous haul truck fleet at Quellaveco represents a pioneering case of large-scale digital mining transformation made possible through the strategic alignment between Anglo American’s vision and STRACON’s implementation capabilities. The sharing of core institutional values facilitated effective communication between leadership teams, ensuring collective understanding and the long-term sustainability of jointly developed processes. The experience confirmed that successful autonomy deployment depends not only on technological readiness, but also on structured training models, continuous feedback mechanisms, and the capacity to adapt global standards to local operational and cultural contexts. The customized training architecture designed for the workforce—based on structured development plans and evidence-based performance enabled the acquisition of specialized technical knowledge while strengthening adaptive competencies required in digitally enabled mining environments. Overall, the project demonstrated that the successful implementation of autonomous mining systems requires a fundamental rethinking of conventional deployment approaches. Rather than focusing solely on technology, autonomy must be implemented as an integrated socio-technical system in which operational processes, workforce development, and change management evolve together to achieve sustainable and scalable results. REFERENCES Deloitte. (2024). Digital maturity assessment for mining companies. Deloitte Development LLC. SAMMI Andean Mining Cluster, Centre for Competitiveness and Development (CCD), & Linkminers. (2021). Peru 190
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