At Myntra, AI is moving beyond pilots to rewrite the speed of enterprise execution
Enterprise AI is clearly entering a new phase. After two years dominated by proofs of concept and generative AI pilots, the challenge for technology leaders is no longer whether AI works, but where it creates measurable business value and how it can be embedded into core enterprise workflows without driving unsustainable costs.
For digital-native companies, where customer interactions, engineering velocity and operational efficiency directly influence growth, AI is increasingly becoming part of the operating model itself.
Speaking to Express Computer, Pramod Adiddam, Chief Technology Officer at Myntra, said the company’s AI investments are guided less by technology adoption than by business outcomes. “We don’t start with AI. We start with the business problem. The hypothesis is always around scale, quality and efficiency,” he says.
That philosophy has resulted in an AI strategy spanning customer engagement, seller operations, enterprise workflows and software engineering, with every deployment expected to demonstrate measurable impact...
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