More than half of new retail NPAs in India are now emerging from unsecured lending such as personal loans and credit cards, and microfinance delinquency has climbed above 13% in some segments, according to M2P Fintech<\/a>.<\/p>\n\n\n\n That volume is exactly why voice AI has moved from a pilot project to a core part of how Indian lenders manage early-stage delinquency. A collections call is not a sales call, it needs a compliant, consistent tone, careful language around repayment, and a clean escalation path when a conversation gets sensitive.<\/p>\n\n\n\n The strongest platforms in this category are built specifically around that constraint. The best ones handle repetitive EMI reminders and payment confirmations at scale, while staying within RBI-aligned communication norms and handing off to a human the moment a call needs judgment rather than a script.<\/p>\n\n\n\n This guide compares eight platforms built for that job, ranked on compliance readiness, language depth, and pricing transparency rather than marketing claims.<\/p>\n\n\n\n The strongest AI voice agents for collections in India combine RBI-aligned calling discipline with genuine Hindi and regional language support, since most delinquency sits in unsecured retail and microfinance segments where borrowers are rarely fluent only in English.<\/p>\n\n\n\n DialNexa, SquadStack, Skit.ai, and Caller Digital lead on collections-specific workflows, Fluid AI and Uniphore suit larger regulated banks, and Vomyra and MyOperator fit lean teams that want a faster, lighter setup.<\/p>\n\n\n\n A collections call carries more regulatory weight than a typical sales or support call. RBI’s fair practices code sets expectations around calling hours, tone, and repeated contact, and a platform that cannot enforce those rules consistently creates real compliance risk, not just a poor customer experience.<\/p>\n\n\n\n That means the evaluation bar for collections voice AI is different from a general-purpose calling tool. Escalation logic, call recording, and audit trails matter as much as language coverage or price per minute.<\/p>\n\n\n\n Every platform on this list was scored against details you can verify yourself, not vendor claims:<\/p>\n\n\n\n DialNexa is a Bengaluru based voice AI platform<\/a> built for high volume Indian calling, with collections and payment reminders as one of its core supported workflows alongside outbound sales and support.<\/p>\n\n\n\n It runs on speech to speech models with sub 1 second p80 latency, and prioritizes English and Hindi with working support for Tamil, Telugu, Kannada, Malayalam, Gujarati, and Marathi, which covers most of the language spread lenders encounter in retail collections.<\/p>\n\n\n\n Pricing starts at Rs 5 per minute and drops to Rs 2.5 per minute for enterprise or committed volume, published openly on its pricing page rather than gated behind a sales call. It connects to existing CRMs and loan management systems, with configurable escalation rules for disputed or sensitive calls.<\/p>\n\n\n\n Best for: <\/strong>Lenders that want transparent pricing and multilingual collections calling without a long enterprise sales cycle.<\/p>\n\n\n\n SquadStack pairs AI voice agents with a human telecalling backup, which matters directly for collections since a borrower dispute or hardship conversation often needs a person, not a script. It handles more than 40 lakh calls daily with 90 percent lead connectivity across Hindi, English, Hinglish, Tamil, Telugu, and other languages.<\/p>\n\n\n\n It holds ISO 27001, SOC 2 Type II, and DPDP compliance certifications, and the company’s collections and lending focus means its escalation workflows are built around exactly this use case rather than adapted from a generic sales product.<\/p>\n\n\n\n Best for: <\/strong>Lenders that want a human safety net behind the AI for hardship or disputed calls.<\/p>\n\n\n\n Skit.ai, formerly Vernacular.ai, builds voice AI focused specifically on collections and lending outbound calling for BFSI and NBFC clients, handling high-volume payment reminders and follow-ups as its primary use case rather than a secondary one.<\/p>\n\n\n\n Implementation is sales-led with a multi-week onboarding process, and pricing is not published, which makes it a slower fit for teams that want to test before committing, but its narrow focus on collections means less configuration work to get a compliant workflow live.<\/p>\n\n\n\n Best for: <\/strong>BFSI and NBFC teams running large-scale collections as their primary calling workload.<\/p>\n\n\n\n Caller Digital focuses on outcome-based outbound calling for Indian businesses, with EMI reminders and payment confirmations as explicit, named use cases alongside COD order confirmation and cart recovery.<\/p>\n\n\n\n Its AI caller is trained on Indian telephony audio to support 13 or more Indian languages, and pricing is pay-per-outcome rather than per minute, with platform fees starting at roughly Rs 5 per connected minute.<\/p>\n\n\n\n Best for: <\/strong>Lenders that want outcome-based pricing tied to confirmed payments rather than raw call minutes.<\/p>\n\n\n\n Fluid AI is a Mumbai based enterprise platform built for banks and financial institutions, deploying voice agents across voice, chat, and WhatsApp for onboarding, cross-sell, and collections-adjacent workflows.<\/p>\n\n\n\n It connects directly to core banking systems including Fiserv, Jack Henry, Temenos, and Infosys Finacle, with SOC 2 Type II and ISO 27001 certification, which suits banks that need collections calling tied into the same platform as their broader customer operations.<\/p>\n\n\n\n Best for: <\/strong>Banks that need collections calling integrated with core banking systems.<\/p>\n\n\n\n Uniphore was founded in India in 2008 and now runs a dual headquarters in Palo Alto and Chennai. It raised a 260 million dollar Series F in October 2025 at a 2.5 billion dollar valuation, and reports more than 1,500 enterprise customers globally.<\/p>\n\n\n\n Its Business AI Cloud combines emotion AI, generative AI, and workflow automation, which can be relevant for collections since tone and sentiment detection matter more in a repayment conversation than in most other call types.<\/p>\n\n\n\n Best for: <\/strong>Large enterprises that want collections voice AI bundled with a broader business AI suite.<\/p>\n\n\n\n Vomyra is a no-code voice AI platform built for startups and lean teams, running on Indian mobile numbers by default and offering multi-engine model support including AWS Nova 2 Sonic and OpenAI GPT Realtime.<\/p>\n\n\n\n It has DPIIT Startup India recognition and states it has clients including Tata Motors, Apollo Tyres, and MRF, with production deployment reported since February 2025. Its collections tooling is less mature than platforms built specifically for BFSI, but the fast setup suits smaller lenders testing automation for the first time.<\/p>\n\n\n\n Best for: <\/strong>Smaller lending teams that want a founder-configurable setup without an engineering team.<\/p>\n\n\n\n MyOperator started as a cloud telephony and IVR platform and has since added AI voice agents on top, handling inbound and outbound calls in English, Hindi, Hinglish, and nine major Indian languages.<\/p>\n\n\n\n It supports dynamic mid-call language switching and unifies AI voice, WhatsApp AI chat, and human agents into a single view of each customer, which helps when a payment reminder call needs to continue over WhatsApp rather than a callback.<\/p>\n\n\n\n Best for: <\/strong>Teams that want collections calling alongside WhatsApp reminders in one dashboard.<\/p>\n\n\n\n The pattern holds here too. Platforms built specifically around BFSI and collections tend to keep pricing behind a sales call, while the more horizontal, self-serve tools publish rates but ask you to verify compliance tooling yourself.<\/p>\n\n\n\n Start with compliance, not price. A platform that cannot enforce calling-hour restrictions or produce a clean audit trail creates risk that outweighs any savings on a per-minute rate.<\/p>\n\n\n\n It also helps to check whether the CRM and telephony integrations<\/a> you already use, especially your loan management system, are supported natively rather than needing a custom build.<\/p>\n\n\n\n Ask any vendor these questions before signing:<\/p>\n\n\n\nTL;DR<\/strong><\/h2>\n\n\n\n
Why Collections Needs a Different Kind of Voice AI<\/strong><\/h2>\n\n\n\n
How We Compared These Platforms<\/strong><\/h2>\n\n\n\n
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Top 8 Platforms for Collections Calling in India<\/strong><\/h2>\n\n\n\n
1. DialNexa<\/strong><\/h3>\n\n\n\n
2. SquadStack<\/strong><\/h3>\n\n\n\n
3. Skit.ai<\/strong><\/h3>\n\n\n\n
4. Caller Digital<\/strong><\/h3>\n\n\n\n
5. Fluid AI<\/strong><\/h3>\n\n\n\n
6. Uniphore<\/strong><\/h3>\n\n\n\n
7. Vomyra<\/strong><\/h3>\n\n\n\n
8. MyOperator<\/strong><\/h3>\n\n\n\n
Comparison Table: How These Platforms Differ<\/strong><\/h2>\n\n\n\n
Platform<\/strong><\/th> Best For<\/strong><\/th> Pricing<\/strong><\/th> Public Pricing<\/strong><\/th> Compliance Tooling<\/strong><\/th><\/tr><\/thead> DialNexa<\/td> Multilingual collections with public pricing<\/td> Rs 2.5 to 5\/min<\/td> Yes<\/td> Configurable escalation<\/td><\/tr> SquadStack<\/td> Collections with human backup<\/td> Enterprise<\/td> No<\/td> ISO 27001, SOC 2, DPDP<\/td><\/tr> Skit.ai<\/td> BFSI collections as primary use case<\/td> Enterprise<\/td> No<\/td> Sales-led setup<\/td><\/tr> Caller Digital<\/td> Outcome-based EMI reminders<\/td> ~Rs 5\/connected min<\/td> Yes<\/td> Pay-per-outcome<\/td><\/tr> Fluid AI<\/td> Bank core system integration<\/td> Enterprise<\/td> No<\/td> SOC 2, ISO 27001<\/td><\/tr> Uniphore<\/td> Enterprise business AI bundle<\/td> Enterprise<\/td> No<\/td> Enterprise-grade<\/td><\/tr> Vomyra<\/td> Startup self-serve setup<\/td> Not public<\/td> No<\/td> Basic<\/td><\/tr> MyOperator<\/td> Voice plus WhatsApp reminders<\/td> Custom<\/td> No<\/td> Managed onboarding<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n How to Choose the Right Collections Voice AI<\/strong><\/h2>\n\n\n\n