Parlo Blog
Practical insights for CX leaders, ops teams, and developers building with voice AI.
Hiring multilingual agents is slow, expensive, and doesn't scale. Here's how CX teams are covering 50+ languages with voice AI — no headcount, no language premium.
Language barriers don't show up as a line item. They show up as churn, low CSAT, and handle times that don't scale. Here's the full picture — with numbers.
Real multilingual speakers switch languages mid-sentence. Most voice AI fails the moment they do. Here's the technical reason — and why it matters for your CX.
IVR systems are expensive, frustrating, and monolingual. Voice AI agents handle 50+ languages natively — no menu trees, no hold music, no $200k setup bill. Here's the full picture.
Sub-400ms response time. 50+ languages. 94% code-switching accuracy. Here's what teams are seeing in their first 30 days with Parlo.
Enterprise deals happen in Devanagari, Arabic, and Mandarin — not translated English. Here's how native-script voice AI handles register and transliteration. Live samples on /sales-scripts.
Enterprise deals happen in Hindi Devanagari and Arabic that reads right-to-left — not translated English. Look at the native-script dialogs from /regional-scripts and the persona-led sales samples on /sales-scripts, side-by-side.
Qualify for a paid pilot. We'll deploy a voice agent against your live traffic — measure latency, intent match, and language coverage end-to-end.
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