Enlight Metals Unveils Agentic AI Platform for Autonomous Decisions

04 Dec 2025 CW Team

Unlike conventional chatbots that merely respond to user prompts, the Agentic AI engine orchestrates end-to-end workflows, handles documentation, triggers actions across connected systems and resolves operational issues in real time. According to the company, nearly 80 per cent of incoming operational queries were closed within five minutes, driven largely by autonomous execution rather than manual intervention. More than 60 per cent of routine procurement and logistics processes were automated, enabling teams to focus on strategic and exception-driven work.

The platform also improved forecasting and inventory accuracy by 40 per cent through real-time demand modelling, while automated document checks, compliance validation and order matching reduced manual verification effort by half. End-to-end transaction traceability has been built into the system, offering complete visibility from sourcing to delivery.

Integrated directly with the company’s CRM, ERP and logistics networks, the Agentic AI engine monitors consumption patterns, predicts disruptions, reallocates supply, reroutes shipments and provides proactive updates to stakeholders. Functioning as a continuous coordination layer, it operates 24×7 to keep industrial workflows aligned and responsive.

“Industrial metals do not lack data, they lack actionable intelligence,” said Dhananjay Goel, Director, Enlight Metals “Our Agentic AI compresses the gap between insight and action, enabling continuous learning and self-optimisation to elevate metal supply operations into a cognitive system.”

Positioned as a core operational layer, the platform aims to build a future where metal sourcing, procurement and delivery function with minimal friction.

Enlight Metals, a leading AI-driven metal aggregator in India, has introduced its Agentic AI-powered operational chatbot, a next-generation intelligence system built to autonomously manage procurement, sourcing and logistics within the industrial metals supply chain. Developed entirely by Enlight Lab, the company’s deep-tech research division, the platform marks a significant shift from traditional conversational tools to a system capable of interpreting intent and executing decisions on its own.Unlike conventional chatbots that merely respond to user prompts, the Agentic AI engine orchestrates end-to-end workflows, handles documentation, triggers actions across connected systems and resolves operational issues in real time. According to the company, nearly 80 per cent of incoming operational queries were closed within five minutes, driven largely by autonomous execution rather than manual intervention. More than 60 per cent of routine procurement and logistics processes were automated, enabling teams to focus on strategic and exception-driven work.The platform also improved forecasting and inventory accuracy by 40 per cent through real-time demand modelling, while automated document checks, compliance validation and order matching reduced manual verification effort by half. End-to-end transaction traceability has been built into the system, offering complete visibility from sourcing to delivery.Integrated directly with the company’s CRM, ERP and logistics networks, the Agentic AI engine monitors consumption patterns, predicts disruptions, reallocates supply, reroutes shipments and provides proactive updates to stakeholders. Functioning as a continuous coordination layer, it operates 24×7 to keep industrial workflows aligned and responsive.“Industrial metals do not lack data, they lack actionable intelligence,” said Dhananjay Goel, Director, Enlight Metals “Our Agentic AI compresses the gap between insight and action, enabling continuous learning and self-optimisation to elevate metal supply operations into a cognitive system.”Positioned as a core operational layer, the platform aims to build a future where metal sourcing, procurement and delivery function with minimal friction.

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