Thirty per cent of scaled organisations report that Voice AI has increased revenue, while 61 per cent of organisations report a reduction of more than 20 per cent in cost per eligible interaction, according to the India Voice AI Readiness 2026 report released by Nasscom in partnership with Krisp. Voice AI automates real-time, two-way spoken phone conversations: it listens to callers speaking naturally, identifies their intent, accesses business systems and responds with a human-like voice.

The report says 68 per cent of organisations realise returns within six to 24 months. Two-thirds expect to raise their Voice AI allocations by up to 50 per cent over the next two years. Adoption remains uneven: 31 per cent of surveyed organisations have moved to limited production, while 13 per cent have scaled deployments across multiple customer journeys. The sectors leading scaled deployments include banking, financial services and insurance (BFSI), telecom, e-commerce, retail and logistics.

More than one-third of organisations support at least three Indian languages in production. Among organisations with broader Indian-language capabilities, 39 per cent identify global or multi-region customer operations as a major opportunity, naming North America, Latin America, Europe, the United Kingdom, the Middle East and Africa as target regions. Nasscom President Rajesh Nambiar said Voice AI could help India’s business process management (BPM) sector move toward multilingual customer operations with greater responsibility for outcomes. He also identified multilingual performance, workflow integration, governance and continuous optimisation as capabilities organisations need as they move from pilots to production.

Krisp Co-Founder and CEO Davit Baghdasaryan said reliable performance in real-world conversations is a key measure of enterprise readiness. He pointed to India’s multilingual, multi-accent and often noisy contact centres as demanding conditions for Voice AI. According to Baghdasaryan, 63% of organisations rank language accuracy among their top three Voice AI spending priorities. The report links broader Indian-language capabilities with organisations’ interest in serving customer operations across multiple regions.

Thirty per cent of scaled organisations report that Voice AI has increased revenue, while 61 per cent of organisations report a reduction of more than 20 per cent in cost per eligible interaction, according to the India Voice AI Readiness 2026 report released by Nasscom in partnership with Krisp. Voice AI automates real-time, two-way spoken phone conversations: it listens to callers speaking naturally, identifies their intent, accesses business systems and responds with a human-like voice.

The report says 68 per cent of organisations realise returns within six to 24 months. Two-thirds expect to raise their Voice AI allocations by up to 50 per cent over the next two years. Adoption remains uneven: 31 per cent of surveyed organisations have moved to limited production, while 13 per cent have scaled deployments across multiple customer journeys. The sectors leading scaled deployments include banking, financial services and insurance (BFSI), telecom, e-commerce, retail and logistics.

More than one-third of organisations support at least three Indian languages in production. Among organisations with broader Indian-language capabilities, 39 per cent identify global or multi-region customer operations as a major opportunity, naming North America, Latin America, Europe, the United Kingdom, the Middle East and Africa as target regions. Nasscom President Rajesh Nambiar said Voice AI could help India’s business process management (BPM) sector move toward multilingual customer operations with greater responsibility for outcomes. He also identified multilingual performance, workflow integration, governance and continuous optimisation as capabilities organisations need as they move from pilots to production.

Krisp Co-Founder and CEO Davit Baghdasaryan said reliable performance in real-world conversations is a key measure of enterprise readiness. He pointed to India’s multilingual, multi-accent and often noisy contact centres as demanding conditions for Voice AI. According to Baghdasaryan, 63% of organisations rank language accuracy among their top three Voice AI spending priorities. The report links broader Indian-language capabilities with organisations’ interest in serving customer operations across multiple regions.