Voice AI in India: 31% of firms in limited production, 13% at scale — Nasscom-Krisp report

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Voice AI in India: 31% of firms in limited production, 13% at scale — Nasscom-Krisp report

Synopsis

A new Nasscom-Krisp report shows Indian enterprises are moving past pilots: 31% are in limited Voice AI production and 13% have scaled across multiple customer journeys. With 61% cutting interaction costs by over 20% and two-thirds planning to raise investments by up to 50%, Voice AI is shifting from experiment to operational backbone — and India's multilingual edge could make it a global hub for AI-driven customer operations.

Key Takeaways

31% of Indian organisations have moved Voice AI to limited production; 13% are scaled across multiple customer journeys, per the Nasscom-Krisp report dated 8 October 2026 .
BFSI, telecom, e-commerce, retail, CPG, travel and logistics are the leading sectors for Voice AI adoption.
61% of organisations reported more than 20% reduction in cost per eligible interaction.
68% realised ROI within 6 to 24 months ; two-thirds plan to increase Voice AI investment by up to 50% .
Over one-third of organisations already support at least three Indian languages in production, with 39% eyeing global multi-region customer operations.

Voice AI adoption in India is rapidly crossing the pilot threshold, with 31 per cent of organisations now in limited production and 13 per cent already scaled across multiple customer journeys, according to a joint report by Nasscom and Krisp released on 8 October 2026. The findings signal that enterprises are increasingly treating voice AI as an operational transformation — not merely a software upgrade.

Where Deployments Are Happening

Companies are rolling out voice agents across inbound and outbound calls, automated quality checks, speech analytics, and agent-assist tools, the report notes. Sector-wise, BFSI, telecom, e-commerce, retail, CPG, travel, and logistics are leading adoption, driven by high interaction volumes and repetitive workflows. However, enterprise-wide scale remains at an early stage, the report cautions.

How Firms Are Structuring the Rollout

Nearly 41 per cent of organisations are using a hybrid model that combines internal teams with external technology partners, while 29 per cent are co-developing solutions alongside partners. The prevalence of shared ownership models suggests enterprises are cautious about going fully in-house at this stage of maturity.

Business Impact and ROI

The numbers on returns are striking: 61 per cent of respondents reported a reduction of more than 20 per cent in cost per eligible interaction. Around 30 per cent of organisations that have scaled also reported a positive impact on revenue. Notably, 68 per cent realised return on investment within 6 to 24 months, and two-thirds expect their Voice AI investments to grow by up to 50 per cent.

Multilingual Capability as a Strategic Edge

More than one-third of organisations already support at least three Indian languages in production, with use cases handling four or more languages also growing. The report identifies this as a potential competitive differentiator for India in global customer operations. Among organisations with broader Indian-language capabilities, 39 per cent see global or multi-region customer operations as a major opportunity.

Rajesh Nambiar, President of Nasscom, said: 'Voice AI is creating a significant opportunity for India's BPM sector to move beyond traditional voice operations towards AI-enabled, multilingual customer operations with greater ownership of outcomes.'

Davit Baghdasaryan, Co-founder and CEO of Krisp, added: 'The future of Voice AI will be defined not by how many languages a system supports, but by how reliably it performs in real-world conversations.'

As adoption matures, the sector's next challenge will be whether organisations can translate early ROI gains into enterprise-wide deployment at scale — while sustaining quality across India's vast linguistic diversity.

Point of View

It repositions the country's BPM sector from a cost centre to a capability exporter. The caveat is that cost reduction and revenue impact figures are self-reported, and enterprise-wide scale is still the exception. The real test will come when organisations move from hybrid co-development models to full in-house ownership — that is where most enterprise AI transformations have historically stalled.
NationPress
8 Oct 2026

Frequently Asked Questions

What does the Nasscom-Krisp Voice AI report say about adoption in India?
The report, released on 8 October 2026, finds that 31% of Indian organisations have moved Voice AI to limited production and 13% have scaled it across multiple customer journeys. It concludes that enterprise adoption is transitioning from early pilots to production-led deployments, though enterprise-wide scale is still at an early stage.
Which sectors are leading Voice AI adoption in India?
BFSI, telecom, e-commerce, retail, CPG, travel, and logistics are the front-runners, according to the report. These sectors are ahead primarily because of high interaction volumes and repetitive workflows that make voice automation economically attractive.
What business returns are Indian firms seeing from Voice AI?
61% of organisations reported a reduction of more than 20% in cost per eligible interaction, while around 30% of scaled firms also reported a positive revenue impact. Additionally, 68% said they realised ROI within 6 to 24 months of deployment.
How are Indian companies structuring their Voice AI investments?
Nearly 41% are using a hybrid model combining internal teams and external technology partners, while 29% are co-developing solutions with partners. Fully in-house deployments remain less common at this stage of market maturity.
What role does multilingual capability play in India's Voice AI opportunity?
More than one-third of organisations already support at least three Indian languages in production, with four-or-more-language use cases growing. Among those with broader language capabilities, 39% identify global or multi-region customer operations as a major opportunity, potentially positioning India as a hub for AI-driven multilingual customer services.
Nation Press
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