Bharat Aluminium Company Ltd (BALCO), a unit of Vedanta Aluminium, has deployed ALAISA (Aluminium AI Support Agent), a humanoid, AI-powered assistant designed to enhance shop-floor capability, operational efficiency, and industrial safety in aluminium manufacturing.
Currently operational at BALCO’s smelter complex in Chhattisgarh, ALAISA functions as an on-ground training, knowledge, and decision-support interface for shop-floor teams. The system integrates conversational AI with plant-specific operational intelligence to deliver contextual, real-time guidance on standard operating procedures, standard maintenance practices, and critical safety protocols, directly at the point of operation.
Quoting Rajiv Kumar, CEO of Vedanta Aluminium, a media statement said: “Digitalisation is fundamentally reshaping manufacturing, and at Vedanta Aluminium, we are embedding advanced technologies into the core operations. The deployment of ALAISA reflects our commitment to building intelligent, future-ready systems that enhance human capability. By combining AI-led insights with shop-floor expertise, we are strengthening safety, improving process reliability, and enabling a more skilled and confident workforce.”
Standardising processes
In its initial phase, ALAISA has trained over 100 employees. It supports structured learning modules, real-time query resolution, and built-in, assessment-driven evaluations that enable supervisors to monitor comprehension levels and skill progression. By embedding continuous, data-driven learning into the shop-floor environment, the system is helping standardise processes, strengthen safety compliance, and enhance workforce readiness in high-intensity industrial settings. Early employee feedback indicates improved access to technical knowledge, faster resolution of operational queries, and greater confidence in decision-making during live operations, the statement said.
The company is among the first in India, and one of the few globally, to implement digital smelter technologies, enabling predictive and prescriptive analytics. Its operations are supported by AI-led predictive maintenance across over 2,000 equipment points, IoT-enabled monitoring across 600 machines. In mining operations, the use of autonomous drones with geofencing has further strengthened safety, surveillance, and operational oversight, the statement added.