Mahindra Group has entered the execution phase of its artificial intelligence strategy, using AI to reduce costs, improve productivity and strengthen margins across its automotive, farm and financial services businesses. The June-quarter earnings presentation was the first to quantify AI-led gains across manufacturing, engineering, customer acquisition and lending, signalling that the focus has shifted from capability building to measurable business outcomes.AI strategy gives way to AI scorecardThree months after outlining its ambition to become “a tech leader in every industry”, Mahindra has begun backing that vision with measurable operating metrics. Instead of discussing AI capabilities, the company presented what is effectively an AI scorecard, showing how artificial intelligence is helping offset cost pressures through faster engineering, lower operating costs, improved manufacturing quality and more efficient customer acquisition.For investors, the message is clear: AI is evolving into an operating lever to protect margins, improve capital efficiency and drive long-term business returns. “The goal is to reduce the time for product development, which translates directly back into revenue and cost,” Group CEO and MD Anish Shah said.Savings across the value chainThe company said Paint.ai has helped achieve a 90.6 per cent first-time buy-off rate in the paint shop, reducing rework, paint consumption and improving throughput, while Simulation.ai has cut the time required to predict vehicle drag coefficients from more than 10 hours to just two minutes, accelerating vehicle development.Beyond manufacturing, AI agents have booked more than 91,000 test drives, handled over 500,000 customer service requests, lowered customer acquisition costs by 30 per cent and processed 65 per cent of Mahindra Finance’s loan files in July. More than 2,600 workshop employees now use AI assistants, extending AI from engineering teams to frontline operations.Building the AI foundationMahindra’s AI initiatives now span its Auto, Farm and Finance businesses through its Quality.ai, Experience.ai, Reach.ai and Efficiency.ai framework. To support the rollout, the Group has built an AI ecosystem comprising more than 50 AI experts, 19 proprietary AI models, over 1,900 employees trained through the Mahindra AI Academy and 15 enterprise-wide transformation projects.“The foundation is really helping us gain this leadership in the AI space,” Shah said, adding that shop-floor employees are increasingly using AI to improve quality and speed of execution.Published on July 30, 2026