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GFF 2026: Mahindra Finance scales Sarvam voice AI partnership to 1 crore calls across 12 languages
Mahindra Finance and Sarvam are deploying voice AI agents across India. These agents have completed over one crore calls in twelve Indian languages. The AI handles customer interactions for sales, collections, and employee feedback. This collaboration aims to scale customer-first financial services
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Mahindra Finance and Sarvam Expand Voice AI Collaboration Across Sales, Collections and Employee Engagement
Expanded collaboration, announced at Global Fintech Fest 2026, extends Sarvam's voice AI across sales, collections and employee engagement in Mahindra Finance's rural and semi-urban markets Mahindra & Mahindra Financial Services Limited today announced an expanded voice AI partnership with Sarvam,
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Mahindra Finance has expanded its voice AI collaboration with Bengaluru-based Sarvam, deploying AI agents that have completed over 1 crore calls across 12 Indian languages. The partnership spans sales, collections, and employee engagement, marking one of India's largest voice AI deployments in financial services.
Mahindra Finance has expanded its voice AI partnership with Bengaluru-based sovereign AI company Sarvam, marking a significant milestone in India's financial services sector. Announced at Global Fintech Fest 2026, where Sarvam serves as the AI Ecosystem Partner, the collaboration has resulted in voice AI agents completing over 1 crore calls across 12 Indian languages
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. This deployment represents one of the largest voice AI implementations in Indian financial services, demonstrating how AI agents can operate at scale while maintaining personalized customer interactions1
.The voice AI collaboration now spans sales, collections, and employee engagement within Mahindra Finance's operations. Developed by Mahindra AI on Sarvam's platform, these AI agents interact with customers in their preferred language and at times convenient to them
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. In sales, the agents engage customers and identify cross-sell opportunities across vehicle and tractor finance, SME and housing loans, insurance, and investment products1
. For collections, voice AI supports the entire repayment lifecycle, from pre-due reminders through write-off and repossession-stage conversations2
. The partnership also extends to employee engagement, where AI agents gather feedback from field teams, providing senior leadership with direct insights into frontline operations1
.Mahindra AI has combined Sarvam's voice agents with proprietary machine learning models to execute targeted campaigns. The models identify relevant customers or required actions, while voice AI agents transform those predictions into conversations at scale in the customer's preferred language
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. Each call is recorded and analyzed through custom AI pipelines, with insights feeding into a continuous improvement loop and downstream systems including CRM, loan servicing, and collections platforms1
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. This integration ensures that customer interactions translate into actionable business outcomes while maintaining the quality of customer-first services.Related Stories
The voice AI partnership proves particularly valuable for Mahindra Finance's extensive reach across rural and semi-urban markets. The NBFC operates 1,348 offices and serves customers across 5.18 lakh villages and 8,000 towns
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. Raul Rebello, Managing Director and CEO of Mahindra Finance, emphasized this impact: "Our customers have always trusted us to stay close to them, whether they are in a city or a village. Voice AI has allowed us to extend that closeness at scale, reaching people proactively, in their own language"1
. As Mahindra Finance diversifies into new business lines, this partnership with Sarvam becomes central to scaling customer-first financial services across Bharat1
.Pratyush Kumar, Co-founder of Sarvam, noted that Mahindra Finance's deployment sets a strong benchmark for AI implementation in the financial services sector. "More than one crore calls across sales, collections and employee engagement show what becomes possible when AI is deeply embedded into the business and continuously learns from customer outcomes"
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. The collaboration demonstrates how voice AI can handle complex customer interactions while operating across multiple Indian languages, a critical capability for serving India's diverse linguistic landscape. Watch for other financial institutions to follow this model, particularly as they seek to balance operational efficiency with personalized customer engagement in underserved markets.Summarized by
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13 Aug 2024

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10 Sept 2026•Business and Economy
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