Kumar Gaurav Gupta is the CEO of Verdantis, an AI-native software company built for asset-intensive industries including oil and gas, mining, utilities, and manufacturing. Enterprise Asset Management is one of the largest, least-digitized parts of the industrial economy. Companies spend hundreds of billions a year on maintenance, reliability, and spare parts, most of it still running on systems designed in the 1990s, where the people doing the work are held back by data that's fragmented, dirty, and reactive. Kumar's view is that the unlock was never a better interface on top of legacy data. It's rethinking the underlying workflow and agentic AI is what finally makes that possible. That conviction is what Verdantis is built on. He brings two decades of building enterprise software across India and APJ, including twelve years at SAP leading P&L as Managing Director of SAP Concur India, and Spend Management strategy for APJ. PGP, IIM Indore. B.E., Delhi College of Engineering.
Most MRO operations still set stocking and maintenance decisions on static rules that ignore equipment criticality, leaving teams overstocked on parts that never fail and exposed on the spares that halt production. This session shows how a network of purpose-trained AI agents changes that. MRO360, the AI-native platform from Verdantis, scores parts by asset criticality, reads demand from real maintenance signals, and confirms every required spare is available before a work order is released, working above existing ERP, EAM, and CMMS systems rather than replacing them. Attendees see what these agents do today, where a human still decides, and where the model is headed: an autonomous orchestrating layer that augments maintenance and supply chain teams rather than replacing their judgment. Honest about the limits, specific about the gains.
Check out the incredible speaker line-up to see who will be joining Kumar Gaurav.
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