Intelekt AI hits 2M voice minutes. Here are 5 hard-earned lessons on scaling multilingual voice AI that every enterprise should know.

Parul Chouhan
Chief of Staff
When voice AI clocks over 2 million real-world minutes, it stops being a pilot—it becomes enterprise-grade infrastructure.
Intelekt AI recently crossed 2 million live minutes of voicebot usage across sectors like BFSI, Retail, energy, lending, and collections. That’s 33,000+ hours of AI conversations deployed across India’s multilingual, mobile-first customer base.
But this isn’t just a brag-worthy metric. It’s a window into what it takes to run voice AI at real production scale—and what others can learn from it.
TL;DR: Here are 5 takeaways every CX head, digital leader, or ops owner should steal from Intelekt’s journey.
1. Latency is game over
Every extra millisecond adds friction. At scale, sub-500ms latency is not optional—it’s table stakes.
Intelekt’s infrastructure delivers lightning-fast and most importantly real-time responses in real-world call center environments. That means fewer drop-offs, better NPS, and customer interactions that feel human.
Why low latency is the most important aspect of Voice AI is because, other platforms optimize for demo conditions. Real scale needs infra tested in messy, telco-grade environments.
2. Multilingual Support Needs More Than Translation
India isn’t just a multilingual market—it’s a multi-accent, multi-context market. A simple translation layer doesn’t cut it.
Intelekt voicebots are trained on regional speech patterns, cultural syntax, and fallback flows that adapt to local nuance—across 7+ languages.
Why it matters: You’re not building for English-first users. You’re building for India-first experiences.
3. POCs Don’t Prepare You for Production. Ops Pipelines Do.
Voicebot pilots look great in isolation. But real volume reveals what breaks—be it SIP routing, call retries, or no-code ops tooling.
Intelekt’s maturity shows in its operational layer: live dashboards, QA tools, fallback handling, and enterprise SLAs.
4. Trust Compounds With Time, Not Just Tech
Clients didn’t just test us. They scaled with us. From handling 100 calls/day to managing entire outbound CX volumes, Intelekt AI earned trust through consistent delivery.
The result? Repeat usage, deeper integrations, and delegated accountability to AI voice agents.
A Testimonial from one of the lending clients: "We replaced 40% of outbound call volume in 3 weeks. Intelekt’s voice just works."
5. Voice AI Is Now an Ops Layer—Not a Fancy Add-On
The biggest lesson? Voice AI isn’t an innovation project anymore. It’s an ops imperative.
The companies that win in CX and collections in 2025 are not the ones that pilot the most tech—they're the ones that productionize or commoditize it the fastest.
Voice AI at scale replaces headcount, reduces costs, and drives better KPIs.
From POC to 2 Million Minutes
Capability | Intelekt Today |
|---|---|
Latency | <200ms roundtrip |
Languages | 7+ (Indian vernacular) |
Infra | SIP-ready, SOC 2, ISO 27001 |
Volume | 2M+ live voice minutes |
Use Cases | CX, Collections, Onboarding, Inbound and outbound Support |
Want to Hear What 2M Minutes of Voice Sounds Like?
Hear Intelekt’s AI voice tackle your CX or collections flow—live, in your preferred language here.
Don’t Just Read. Benchmark.
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