Why Multilingual AI Support Is Essential for Growing Businesses

In the United States alone, over 67 million people speak a language other than English at home. Globally, businesses are increasingly serving customers across borders. If your phone system only speaks English, you're leaving money on the table.

The Numbers Don't Lie

Consider these statistics:

• 72% of consumers are more likely to buy a product with information in their native language
• 56% of consumers say the ability to obtain information in their own language is more important than price
• The Hispanic market in the US alone has a $1.9 trillion buying power
• Businesses with multilingual support see 25% higher customer satisfaction scores

How AI Makes It Possible

Hiring multilingual staff is expensive and logistically challenging. You'd need separate employees for Spanish, Mandarin, Vietnamese, Korean, and every other language your customers speak.

AI voice agents like Ask Averie can automatically detect incoming language and respond fluently in 30+ languages—all with a single subscription. The AI switches languages mid-conversation if needed, providing a seamless experience.

Real-World Impact: A Case Study

Maria's Dental Clinic in Houston serves a diverse community. Before implementing multilingual AI:

• Spanish-speaking patients often hung up when greeted in English
• Booking errors were common due to language barriers
• The clinic missed an estimated 15-20 appointments per week

After implementing Ask Averie with Spanish and Vietnamese support, the clinic saw a 35% increase in bookings within the first month and significantly improved patient satisfaction scores.

Languages That Matter Most

For US businesses, the most valuable languages to support include:

Getting Started Is Easy

With Ask Averie, multilingual support is included in every plan. There's no additional setup required—the AI automatically detects the caller's language and responds appropriately. Your business becomes instantly accessible to millions of potential customers who previously faced language barriers.