The supply chain is getting an AI execution layer: What comes after copilots?
By Lalit Das, Founder & CEO, Agentra
A supply chain copilot can explain, within seconds, why a consignment is late and what ought to be done about it. Acting on that explanation is another matter entirely. Somewhere downstream, a planner still opens the ERP, revises the order, and works the phones until the disruption is contained. This is the quiet inefficiency of the copilot era. Intelligence was distributed generously across the enterprise, while the execution burden stayed exactly where it had always been.
In India, the gap is visible in its own numbers. According to EY’s Outlook 2026 report, 47 per cent of surveyed enterprises now run multiple AI use cases in production, while only 10 per cent report enterprise-wide deployment. A structural correction is underway. Beneath the conversational interface, an execution layer is taking shape, designed to carry decisions across systems to completion rather than return them for manual...
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