KELASTAMBANG: Golden Energy Mines (GEMS) has reported a 60 percent reduction in operational response time and a 35 percent improvement in compliance following the deployment of its artificial intelligence (AI) solutions across its mining operations, the company stated in a LinkedIn post published two weeks ago.
The transformation initiative, led by GEMS’ DigiTech division, integrates AI across safety, compliance, finance, marketing, and operational systems. The primary tools—GEMVIS and SiCantik (Sistem Camera Analitik)—aim to eliminate inefficiencies associated with manual processes, disorganized documentation, and slow decision-making.
GEMVIS uses Retrieval-Augmented Generation (RAG) to deliver high-accuracy, instant answers to safety, operational, and compliance-related queries, with the company claiming an accuracy rate exceeding 88 percent. This system reduces reliance on static PDF documents and manual data interpretation, enabling managers to make timely, data-informed decisions.
“GEMVIS streamlines Q&A for safety, compliance, and operations, reducing delays and enhancing workplace productivity,” the company stated.
Complementing GEMVIS, SiCantik upgrades traditional CCTV systems into AI-powered surveillance platforms. Marketed as “Falcon Eyes,” the system incorporates real-time monitoring features such as overspeed detection, contraflow alerts, PPE compliance checks, and smoke detection. These capabilities support both proactive safety enforcement and post-incident analysis.
“SiCantik is the proof that we focus for what is matter in mining: safety and operation,” the company added, noting the enhanced safety and operational visibility delivered by AI-based visual analytics.
GEMS emphasised the synergistic integration of human oversight with machine learning capabilities under its “1 Team and 2 Superpowers: Humans + AI” strategy. According to the company, this approach turns “messy data into clear insights” and shifts decision-making from instinct-based to data-powered.
The impact of these digital tools is further reinforced by their scalability and operational flexibility. Features such as 24/7 monitoring, multi-environment adaptability, and real-time alerting ensure that AI can be deployed across varied mining environments. The company also highlighted secondary benefits such as reduced emissions and lower cost of safety operations due to automation.
These initiatives reflect a growing trend in Indonesia’s mining sector, where companies are leveraging AI and data analytics to improve ESG compliance, workplace safety, and productivity. AI applications such as RAG-powered retrieval systems and AI-driven surveillance are increasingly being adopted as mining operations become more data-intensive and regulatory standards tighten.
Golden Energy Mines’ adoption of AI tools such as GEMVIS and SiCantik demonstrates how digital transformation is redefining operational resilience, especially in high-risk, high-regulation industries such as mining.