“We are not just automating tasks. We are giving the industrial supply chain a central nervous system,” says Dhananjay Goel, Managing Director, Enlight Metals, who, in an interaction with Enterprise Times, talks about how Multi-AI Agent Platforms can transform procurement, logistics, inventory and finance into intelligent, AI-driven business ecosystems enabling greater resilience, faster decisions and measurable business value.
Enterprise Times: AI adoption in manufacturing has largely focused on automation over the past few years. How do you see the industry evolving from traditional automation to Multi-AI Agent Platforms?
Dhananjay Goel: The Indian supply chain is moving beyond simple task automation. The next major transformation is creating intelligent business ecosystems where AI continuously coordinates decisions across the entire enterprise.
Traditional automation strictly follows predefined rules. Multi-AI Agent Platforms understand context, collaborate across departments, and adapt to volatile market conditions in real time.
We are not just automating tasks. We are giving the industrial supply chain a central nervous system.
At Enlight Metals, we sit at the critical intersection of supply and manufacturing. We believe AI will become the digital workforce that connects procurement, inventory, logistics, and finance into one continuously learning grid. The companies that embrace this shift will not just become more efficient. They will become significantly more resilient in an increasingly unpredictable global market.
Enterprise Times: You have described Multi AI Agent Platforms as the next operating layer for manufacturing enterprises. What differentiates this approach from conventional AI tools or standalone copilots?
Dhananjay Goel:Most AI solutions today function as isolated assistants. They answer questions, summarize information, or help an individual employee perform a singular task. Multi-AI Agent Platforms represent a completely different operating model.
Instead of one assistant helping one person, networks of specialized AI agents work together autonomously. One agent understands procurement dynamics, another monitors inventory thresholds, a third analyzes logistics routing, while a fourth evaluates the exact working capital impact. Together, they continuously exchange data and recommend the most profitable business decisions.
The real value is not just having smarter software. The real value is building an intelligent enterprise where every business function works in absolute synchronization.
Enterprise Times: How can multiple AI agents collaborate across procurement, inventory, logistics, finance, and sales to improve operational efficiency and decision making in manufacturing businesses?
Dhananjay Goel: Supply chain decisions are deeply interconnected. Every procurement choice cascades immediately through inventory, cash flow, and customer commitments.
Imagine global steel prices shift overnight. Under a multi-agent system, a procurement agent instantly identifies the pricing trend. An inventory agent immediately evaluates your available stock of Hot Rolled or Cold Rolled coils. A logistics agent assesses real-time delivery timelines, and a finance agent calculates the immediate margin impact.
Instead of siloed departments taking days to coordinate a response, these agents collaborate instantly. Our vision at Enlight Metals is to build an ecosystem where decisions move at the speed of business, eliminating the friction of manual coordination.
Enterprise Times: In your view, what are the biggest operational challenges faced by steel and manufacturing companies today that Agentic AI is well positioned to solve?
Dhananjay Goel: The industrial metals supply chain is intensely complex. Material prices fluctuate daily, logistics remain unpredictable, and critical business data is fragmented across legacy systems. This forces decision making to be reactive instead of proactive.
You cannot solve modern supply chain complexity simply by buying more software. You need continuous operational intelligence.
Agentic AI monitors every corner of the business, identifies supply risks before they cause production halts, and orchestrates rapid responses. For industries like steel where timing and margins dictate survival, making faster, data-driven decisions creates an absolute competitive advantage.
Enterprise Times: Many enterprises already have ERP, procurement, and supply chain systems in place. How important is seamless integration with these existing platforms for successful AI adoption?
Dhananjay Goel: Integration is the absolute foundation of successful AI adoption. Indian manufacturers and aggregators have already invested heavily in robust ERP and CRM platforms. AI must enhance these investments rather than rip and replace them.
Intelligence should sit above your enterprise systems as an active orchestration layer. It must connect fragmented information, eliminate operational silos, and help businesses execute faster without disrupting daily workflows. The future belongs to organizations where AI works quietly in the background while human leadership makes strategic decisions in the foreground.
Enterprise Times: Enlight Metals has introduced a Multi AI Agent Platform for the metal procurement ecosystem. What business outcomes or efficiencies do you expect customers to achieve through this approach?
Dhananjay Goel: At Enlight Metals, our entire model is heavily execution focused. We are aggressively targeting an annualized revenue of INR 1,200 crore for the upcoming fiscal year while maintaining a strict 24-hour delivery promise. You simply cannot scale an aggregation model to that magnitude using legacy manual coordination.
Our Multi-AI Agent Platform is designed to simplify the overwhelming complexity of supplier reliability, pricing volatility, and inventory planning. We expect our partners to achieve significantly faster procurement cycles, crystal clear supplier visibility, and highly optimized working capital. Ultimately, this is about delivering measurable ROI and building an intelligent metal ecosystem for every participant in the value chain.
Enterprise Times: As organisations increasingly rely on AI for business critical decisions, how can they ensure transparency, governance, and human oversight while deploying multiple AI agents?
Trust is the ultimate currency of enterprise AI. Every recommendation generated by an agent must be explainable, traceable, and fully auditable. Organizations must clearly define which routine decisions AI can execute autonomously and which require executive approval.
The purpose of AI is to elevate human expertise, not replace human accountability.
At Enlight Metals, we position AI as your ultimate strategic advisor. Strong governance ensures organizations can innovate aggressively while maintaining total operational control. Responsible, transparent AI will be the defining competitive advantage of the next decade.
Enterprise Times: What advice would you give to manufacturing leaders who are exploring Agentic AI but are unsure where to begin their AI transformation journey?
Dhananjay Goel: Start with execution. Do not begin with the technology itself. Begin with a specific workflow where delays, manual effort, or fragmented information are actively hurting your profitability.
Implement AI where the business value is clearly measurable. Learn from that initial deployment, prove the ROI, and then expand gradually across the organization. AI transformation is not just an IT initiative. It is a fundamental evolution of how industrial businesses compete, scale, and survive.
Enterprise Times: Looking ahead, how do you see Multi AI Agent Platforms reshaping India’s manufacturing and industrial ecosystem over the next three to five years?
Dhananjay Goel: India is entering the most important industrial growth cycle in its history. As the country rapidly scales its infrastructure and manufacturing capabilities, we need business intelligence that matches the sheer ambition of the nation.
Over the next five years, I believe every leading industrial company will operate with specialized AI agents working alongside their human teams. Supply chains will become highly predictive, and procurement will become largely autonomous. India has an unprecedented opportunity to become the world’s first AI-driven manufacturing economy, and the organizations embracing collaborative AI today will be the undisputed market leaders of tomorrow.
Enterprise Times: Beyond procurement, which other areas of manufacturing do you believe will see the greatest impact from collaborative AI in the coming years?
Dhananjay Goel: Procurement is just the entry point. Collaborative AI will completely reshape demand forecasting, predictive maintenance, warehouse operations, energy optimization, and financial planning.
The real transformation happens when these capabilities operate as one connected brain rather than isolated software tools. Just as ERP systems digitized enterprise operations over the last two decades, Multi-AI Agent Platforms will define the next generation of industrial scale. Organizations that adopt this model early will set new global benchmarks for efficiency and resilience.
