10 Best AI Platforms for Multilingual Customer Support in 2025

Your customers speak different languages. Your support tools should too. According to CSA Research, 76% of online shoppers prefer buying products with information in their native language, and 40% will never purchase from websites in other languages. That's not a preference you can ignore.

Building a multi-language support operation used to mean hiring bilingual agents across every time zone. Today, AI has changed the math. The right combination of translation engines, AI chatbots, and voice agents like Dialzara can deliver 24/7 coverage in dozens of languages at a fraction of traditional costs.

This guide breaks down the best platforms for serving global customers in 2025, explains how the technology actually works, and shows you where each solution fits in your tech stack.

How Multilingual AI Powers Modern Customer Support

Multilingual AI refers to artificial intelligence systems that understand, translate, and respond across multiple languages without human intervention. These tools have evolved far beyond basic word-for-word translation. Modern platforms can detect language automatically, understand context and intent, and even switch languages mid-conversation without losing track of the discussion.

The global AI chatbot market reached $15.6 billion in 2024 and is projected to hit $46.6 billion by 2029. That growth reflects how quickly businesses are adopting these tools. Here's what modern multi-language platforms can do:

• Translate customer messages instantly during live conversations
• Answer common questions consistently across all supported languages
• Route and summarize calls from international customers automatically
• Deliver 24/7 support without hiring proportionally more staff

Traditional Support vs. AI-Powered Support

The old approach required hiring bilingual agents in every time zone. That model is slow, expensive, and nearly impossible for small and mid-sized businesses to scale. Research from Intercom shows that while 88% of support teams offer service in more than one language, just 28% of customers actually see support in their native language.

Modern support stacks combine three key elements:

• AI chatbots that handle routine questions across dozens of languages
• AI translation engines that help monolingual agents serve global customers effectively
• AI phone agents like Dialzara that answer, triage, and resolve calls in multiple languages around the clock

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Covering Every Channel Your Customers Use

Customers don't think about channels. They just want answers in their language. A complete strategy covers text, voice, and everything in between:

• Chat: Real-time translation and AI chatbots for instant messaging
• Email: AI translation integrated into your helpdesk and CRM
• Voice: AI receptionists and call handling in multiple languages

Most content about multilingual AI focuses on chat and text. But for service businesses like healthcare providers, law firms, and home service companies, phone calls remain the primary contact channel. That's where voice-specific solutions become essential.

The 10 Best Platforms for Multilingual Customer Support

Here's an overview of the most effective platforms supporting global customer interactions in 2025. Each serves different needs, budgets, and channel priorities.

1. Avaamo - Supports 114 languages with automatic detection and personalized omnichannel experiences
2. Helpshift - Real-time translation for 150+ languages with AI-powered chatbots and customizable workflows
3. Summa Linguae Technologies - Translation, localization, and human language services tailored to specific industries
4. Lokalise AI - GPT-4 powered translations in 30+ languages with localization workflow tools
5. ChatGPT - Fast conversational translations in 50+ languages with API access for custom integrations
6. DeepL - Industry-leading accuracy for natural-sounding translations, especially European languages
7. Google Translate - Broadest language coverage at 130+ with easy integration options
8. Microsoft Translator - 100+ languages including many less common ones, plus image translation
9. Smartling - Translation management combining machine and human translation services
10. Intercom - Automated support in 45 languages through its Fin AI chatbot

Platform Comparison: Languages, Strengths, and Limitations

Use this comparison table to evaluate each platform based on language coverage, strengths, and limitations. Consider which channels matter most to your business when making your decision.

Platform	Languages Supported	Key Strengths	Potential Drawbacks
Avaamo	Over 100	Conversational AI, omnichannel support	Limited customization transparency
Helpshift	Over 150	AI-powered chatbot, customizable workflows	Complex enterprise configuration
Summa Linguae Technologies	Over 150	Advanced language processing, human translation	Higher costs for human services
Lokalise AI	Over 30	AI-driven translation, localization workflows	Limited Asian language support
ChatGPT	Over 50	Conversational AI, flexible integration	Requires prompt engineering expertise
DeepL	Over 30	Neural network accuracy, natural output	Fewer non-European languages
Google Translate	Over 130	Widest language support, easy integration	Lower accuracy for specialized content
Microsoft Translator	Over 100	Wide coverage, image translation	Variable quality across language pairs
Smartling	Over 100	Translation management, hybrid AI + human	Premium pricing for human services
Intercom	45	AI chatbot (Fin), strong messaging features	Not a standalone translation tool

1. Avaamo - Enterprise Conversational AI

Avaamo delivers conversational AI across chat, messaging, and voice channels. The platform automatically detects customer language and responds appropriately without manual intervention.

Language Coverage

Avaamo supports 114 languages and dialects, including Albanian, Greek, Malagasy, and hybrid languages like Spanglish, Hinglish, and Singlish.

Core Features

• Automatic language detection and native-language responses
• Global personalization for localized customer experiences
• Pre-built enterprise connectors for rapid deployment
• Conversation analytics and validation tools

Limitations

May need additional training data for industry-specific terminology. Pricing and customization details require direct inquiry.

2. Helpshift - Multi-Language Support for Mobile Apps

Helpshift specializes in AI-powered support for in-app, web, and cross-device experiences. The platform combines real-time translation with intelligent automation, making it popular with mobile-first businesses.

Language Coverage

Provides real-time translation for over 150 languages, making it one of the broadest coverage options available.

Core Features

• AI chatbot with natural language understanding
• Customizable workflow automation
• In-app messaging with instant translation
• Self-service knowledge base in multiple languages

Limitations

Enterprise-scale configuration can be complex. There's a learning curve for advanced workflow customization.

3. Summa Linguae Technologies - Human + AI Translation

Summa Linguae combines AI translation with human expertise for businesses requiring high-accuracy results. They specialize in localization beyond simple word-for-word translation, with expertise in technical, legal, and medical terminology.

Core Features

• Hybrid AI and human translation workflows
• Industry-specific terminology databases
• Cultural localization consulting
• Quality assurance and review processes

Limitations

Human translation services carry premium pricing. Turnaround times are longer than pure AI solutions.

4. Lokalise AI - AI-Powered Localization Workflow

Lokalise AI uses large language models including GPT-4 to deliver high-quality translations integrated into development and content workflows. It's designed for teams managing ongoing localization at scale.

Core Features

• GPT-4 powered translation engine
• Integration with development tools (GitHub, GitLab, Figma)
• Translation memory and glossary management
• Collaborative review workflows

Pricing

Plans start at $120/month for small teams, with enterprise pricing available for larger organizations.

5. ChatGPT - Flexible AI for Custom Integrations

ChatGPT provides conversational AI capabilities that can be integrated into support workflows through API access. It handles translation, response generation, and conversation management in multiple languages.

Core Features

• Natural conversational responses in multiple languages
• API integration for custom applications
• Context-aware translation and response generation
• Flexible prompt customization for brand voice

Pricing

API pricing is usage-based. GPT-4 costs approximately $0.03 per 1K input tokens and $0.06 per 1K output tokens.

6. DeepL - Premium Translation Accuracy

DeepL is widely considered the most accurate machine translation service available, particularly for European languages. Many businesses use it to power multi-language emails and chat responses.

Core Features

• Neural network translation with natural phrasing
• API for helpdesk and CRM integration
• Document translation preserving formatting
• Glossary support for consistent terminology

Pricing

DeepL Pro starts at $8.74/month for individuals. API access begins at $5.49/month plus usage fees.

7. Google Translate - Broadest Language Coverage

Google Translate offers the widest language support of any translation service, making it essential for businesses serving customers in less common languages.

Core Features

• Extensive coverage of 130+ languages
• Cloud Translation API for business integration
• Neural machine translation for major language pairs
• AutoML Translation for custom model training

Pricing

Google Cloud Translation API charges $20 per million characters. First 500,000 characters monthly are free.

8. Microsoft Translator - Enterprise Integration

Microsoft Translator provides translation services integrated with the Microsoft ecosystem, making it ideal for organizations already using Azure, Office 365, and Dynamics.

Core Features

• Deep integration with Microsoft products
• Azure Cognitive Services API
• Custom Translator for domain-specific models
• Real-time speech translation

Pricing

Azure Translator pricing starts at $10 per million characters. Free tier includes 2 million characters monthly.

9. Smartling - Translation Management Platform

Smartling provides a complete translation management system that combines machine translation with human review workflows. It's designed for enterprises managing large-scale localization projects.

Core Features

• Translation management system with workflow automation
• Neural machine translation with human review
• Integration with CMS, marketing automation, and support tools
• Translation memory and terminology management

10. Intercom - AI Chatbot with Built-in Multi-Language Support

Intercom's Fin AI chatbot provides automated support directly within their customer messaging platform. It's a complete solution for businesses focused on chat and messaging channels.

Core Features

• AI chatbot trained on your help content
• Automatic language detection and response
• Smooth handoff to human agents
• Unified inbox for all customer conversations

Pricing

Plans start at $39/seat/month. Fin AI chatbot has additional per-resolution pricing.

Where Voice Support Fits In

Most platforms above focus on text-based channels. But what about phone calls? For businesses in healthcare, legal services, home services, and financial services, phone remains the primary customer contact channel.

That's where AI phone agents like Dialzara come in. While the platforms above handle written communication, Dialzara provides:

• AI-powered phone answering in English and Spanish
• 24/7 availability without staffing multiple time zones
• Call routing, appointment scheduling, and FAQ handling
• Integration with your existing CRM and business tools

A complete strategy combines text-based tools with voice AI. You might use DeepL for email support, Intercom for chat, and Dialzara for phone calls - covering every channel your customers use.

The ROI of Multi-Language Support

The business case is straightforward. According to Unbabel research, 68% of consumers would switch brands if another brand offered support in their native language. And 29% of businesses report losing customers because they don't offer support in multiple languages.

Here's a simple cost comparison:

Traditional model: 100,000 interactions × $5 average cost = $500,000/month

AI-hybrid model: 80,000 AI interactions × $0.50 + 20,000 human × $5 = $140,000/month

That's a 72% cost reduction while potentially improving customer satisfaction. Most businesses see measurable improvements in satisfaction scores and retention within three to six months of adding multi-language support.

How to Choose the Right Platform

Selecting the right platform depends on several factors specific to your business:

1. Identify Your Priority Languages

Start with the languages your customers actually speak. Check your website analytics, support ticket data, and sales records. In the United States alone, residents speak over 350 languages. Don't pay for 130 languages if you only need five.

2. Map Your Customer Channels

Where do customers contact you most? If 80% of inquiries come through phone, prioritize voice AI. If chat dominates, focus on AI chatbot solutions. According to recent research, 64% of customers find 24/7 availability the best feature of a chatbot.

3. Consider Integration Requirements

The best platform integrates with your existing tools. Check compatibility with your CRM, helpdesk, and phone system before committing.

4. Evaluate Accuracy vs. Coverage

More languages doesn't always mean better support. AI translation currently delivers 70% to 85% accuracy, while human translators hit 95% to 100%. DeepL covers fewer languages than Google Translate but delivers higher accuracy for the languages it does support.

5. Calculate Total Cost of Ownership

Factor in API costs, per-seat licensing, implementation time, and ongoing maintenance. A cheaper tool that requires more human oversight may cost more long-term.

Building Your Multi-Language Support Stack

Most businesses need multiple tools working together. Here's a practical framework:

For text channels (chat, email, messaging):

• Choose a primary AI chatbot (Intercom, Helpshift, or Avaamo)
• Add a translation API (DeepL or Google Translate) for agent assistance
• Implement a knowledge base in your top customer languages

For voice channels (phone calls):

• Deploy an AI phone agent like Dialzara for 24/7 coverage
• Configure language routing based on caller preferences
• Set up escalation paths to bilingual human agents when needed

For content localization:

• Use a translation management platform (Smartling or Lokalise) for help articles
• Maintain terminology glossaries for consistent brand voice
• Review and update translated content regularly

Compliance Considerations

Some regions require multi-language support by law. Canada mandates English and French support. The EU enforces GDPR-related language requirements. Before expanding internationally, check the regulatory requirements in your target markets.

Key Takeaways

Effective multilingual customer support requires matching the right tools to your specific channels, languages, and customer expectations. Here's a quick summary:

• For broadest language coverage: Google Translate or Microsoft Translator
• For highest translation accuracy: DeepL
• For complete chat/messaging automation: Intercom or Helpshift
• For enterprise conversational AI: Avaamo
• For translation management at scale: Smartling or Lokalise
• For multilingual phone support: Dialzara

The best solution for your business depends on your customer base, preferred channels, and budget. Start by mapping where your customers need language support most, then build your stack accordingly.

Ready to add multilingual voice support to your customer service operation? Explore Dialzara's pricing plans to see how AI phone agents can help you serve customers in multiple languages around the clock.

For more insights on AI customer service tools and automation strategies, visit our blog or check our FAQs for answers to common questions about building your support stack.10 Best AI Platforms for Multilingual Customer Support in 2025

Your customers speak different languages. Your support tools should too. According to CSA Research, 76% of online shoppers prefer buying products with information in their native language, and 40% will never purchase from websites in other languages. That's not a preference you can ignore.

Building a multi-language support operation used to mean hiring bilingual agents across every time zone. Today, AI has changed the math. The right combination of translation engines, AI chatbots, and voice agents like Dialzara can deliver 24/7 coverage in dozens of languages at a fraction of traditional costs.

This guide breaks down the best platforms for serving global customers in 2025, explains how the technology actually works, and shows you where each solution fits in your tech stack.

How Multilingual AI Powers Modern Customer Support

Multilingual AI refers to artificial intelligence systems that understand, translate, and respond across multiple languages without human intervention. These tools have evolved far beyond basic word-for-word translation. Modern platforms can detect language automatically, understand context and intent, and even switch languages mid-conversation without losing track of the discussion.

The global AI chatbot market reached $15.6 billion in 2024 and is projected to hit $46.6 billion by 2029. That growth reflects how quickly businesses are adopting these tools. Here's what modern multi-language platforms can do:

• Translate customer messages instantly during live conversations
• Answer common questions consistently across all supported languages
• Route and summarize calls from international customers automatically
• Deliver 24/7 support without hiring proportionally more staff

Traditional Support vs. AI-Powered Support

The old approach required hiring bilingual agents in every time zone. That model is slow, expensive, and nearly impossible for small and mid-sized businesses to scale. Research from Intercom shows that while 88% of support teams offer service in more than one language, just 28% of customers actually see support in their native language.

Modern support stacks combine three key elements:

• AI chatbots that handle routine questions across dozens of languages
• AI translation engines that help monolingual agents serve global customers effectively
• AI phone agents like Dialzara that answer, triage, and resolve calls in multiple languages around the clock

Covering Every Channel Your Customers Use

Customers don't think about channels. They just want answers in their language. A complete strategy covers text, voice, and everything in between:

• Chat: Real-time translation and AI chatbots for instant messaging
• Email: AI translation integrated into your helpdesk and CRM
• Voice: AI receptionists and call handling in multiple languages

Most content about multilingual AI focuses on chat and text. But for service businesses like healthcare providers, law firms, and home service companies, phone calls remain the primary contact channel. That's where voice-specific solutions become essential.

The 10 Best Platforms for Multilingual Customer Support

Here's an overview of the most effective platforms supporting global customer interactions in 2025. Each serves different needs, budgets, and channel priorities.

1. Avaamo - Supports 114 languages with automatic detection and personalized omnichannel experiences
2. Helpshift - Real-time translation for 150+ languages with AI-powered chatbots and customizable workflows
3. Summa Linguae Technologies - Translation, localization, and human language services tailored to specific industries
4. Lokalise AI - GPT-4 powered translations in 30+ languages with localization workflow tools
5. ChatGPT - Fast conversational translations in 50+ languages with API access for custom integrations
6. DeepL - Industry-leading accuracy for natural-sounding translations, especially European languages
7. Google Translate - Broadest language coverage at 130+ with easy integration options
8. Microsoft Translator - 100+ languages including many less common ones, plus image translation
9. Smartling - Translation management combining machine and human translation services
10. Intercom - Automated support in 45 languages through its Fin AI chatbot

Platform Comparison: Languages, Strengths, and Limitations

Use this comparison table to evaluate each platform based on language coverage, strengths, and limitations. Consider which channels matter most to your business when making your decision.

Platform	Languages Supported	Key Strengths	Potential Drawbacks
Avaamo	Over 100	Conversational AI, omnichannel support	Limited customization transparency
Helpshift	Over 150	AI-powered chatbot, customizable workflows	Complex enterprise configuration
Summa Linguae Technologies	Over 150	Advanced language processing, human translation	Higher costs for human services
Lokalise AI	Over 30	AI-driven translation, localization workflows	Limited Asian language support
ChatGPT	Over 50	Conversational AI, flexible integration	Requires prompt engineering expertise
DeepL	Over 30	Neural network accuracy, natural output	Fewer non-European languages
Google Translate	Over 130	Widest language support, easy integration	Lower accuracy for specialized content
Microsoft Translator	Over 100	Wide coverage, image translation	Variable quality across language pairs
Smartling	Over 100	Translation management, hybrid AI + human	Premium pricing for human services
Intercom	45	AI chatbot (Fin), strong messaging features	Not a standalone translation tool

1. Avaamo - Enterprise Conversational AI

Avaamo delivers conversational AI across chat, messaging, and voice channels. The platform automatically detects customer language and responds appropriately without manual intervention.

Language Coverage

Avaamo supports 114 languages and dialects, including Albanian, Greek, Malagasy, and hybrid languages like Spanglish, Hinglish, and Singlish.

Core Features

• Automatic language detection and native-language responses
• Global personalization for localized customer experiences
• Pre-built enterprise connectors for rapid deployment
• Conversation analytics and validation tools

Limitations

May need additional training data for industry-specific terminology. Pricing and customization details require direct inquiry.

2. Helpshift - Multi-Language Support for Mobile Apps

Helpshift specializes in AI-powered support for in-app, web, and cross-device experiences. The platform combines real-time translation with intelligent automation, making it popular with mobile-first businesses.

Language Coverage

Provides real-time translation for over 150 languages, making it one of the broadest coverage options available.

Core Features

• AI chatbot with natural language understanding
• Customizable workflow automation
• In-app messaging with instant translation
• Self-service knowledge base in multiple languages

Limitations

Enterprise-scale configuration can be complex. There's a learning curve for advanced workflow customization.

3. Summa Linguae Technologies - Human + AI Translation

Summa Linguae combines AI translation with human expertise for businesses requiring high-accuracy results. They specialize in localization beyond simple word-for-word translation, with expertise in technical, legal, and medical terminology.

Core Features

• Hybrid AI and human translation workflows
• Industry-specific terminology databases
• Cultural localization consulting
• Quality assurance and review processes

Limitations

Human translation services carry premium pricing. Turnaround times are longer than pure AI solutions.

4. Lokalise AI - AI-Powered Localization Workflow

Lokalise AI uses large language models including GPT-4 to deliver high-quality translations integrated into development and content workflows. It's designed for teams managing ongoing localization at scale.

Core Features

• GPT-4 powered translation engine
• Integration with development tools (GitHub, GitLab, Figma)
• Translation memory and glossary management
• Collaborative review workflows

Pricing

Plans start at $120/month for small teams, with enterprise pricing available for larger organizations.

5. ChatGPT - Flexible AI for Custom Integrations

ChatGPT provides conversational AI capabilities that can be integrated into support workflows through API access. It handles translation, response generation, and conversation management in multiple languages.

Core Features

• Natural conversational responses in multiple languages
• API integration for custom applications
• Context-aware translation and response generation
• Flexible prompt customization for brand voice

Pricing

API pricing is usage-based. GPT-4 costs approximately $0.03 per 1K input tokens and $0.06 per 1K output tokens.

6. DeepL - Premium Translation Accuracy

DeepL is widely considered the most accurate machine translation service available, particularly for European languages. Many businesses use it to power multi-language emails and chat responses.

Core Features

• Neural network translation with natural phrasing
• API for helpdesk and CRM integration
• Document translation preserving formatting
• Glossary support for consistent terminology

Pricing

DeepL Pro starts at $8.74/month for individuals. API access begins at $5.49/month plus usage fees.

7. Google Translate - Broadest Language Coverage

Google Translate offers the widest language support of any translation service, making it essential for businesses serving customers in less common languages.

Core Features

• Extensive coverage of 130+ languages
• Cloud Translation API for business integration
• Neural machine translation for major language pairs
• AutoML Translation for custom model training

Pricing

Google Cloud Translation API charges $20 per million characters. First 500,000 characters monthly are free.

8. Microsoft Translator - Enterprise Integration

Microsoft Translator provides translation services integrated with the Microsoft ecosystem, making it ideal for organizations already using Azure, Office 365, and Dynamics.

Core Features

• Deep integration with Microsoft products
• Azure Cognitive Services API
• Custom Translator for domain-specific models
• Real-time speech translation

Pricing

Azure Translator pricing starts at $10 per million characters. Free tier includes 2 million characters monthly.

9. Smartling - Translation Management Platform

Smartling provides a complete translation management system that combines machine translation with human review workflows. It's designed for enterprises managing large-scale localization projects.

Core Features

• Translation management system with workflow automation
• Neural machine translation with human review
• Integration with CMS, marketing automation, and support tools
• Translation memory and terminology management

10. Intercom - AI Chatbot with Built-in Multi-Language Support

Intercom's Fin AI chatbot provides automated support directly within their customer messaging platform. It's a complete solution for businesses focused on chat and messaging channels.

Core Features

• AI chatbot trained on your help content
• Automatic language detection and response
• Smooth handoff to human agents
• Unified inbox for all customer conversations

Pricing

Plans start at $39/seat/month. Fin AI chatbot has additional per-resolution pricing.

Where Voice Support Fits In

Most platforms above focus on text-based channels. But what about phone calls? For businesses in healthcare, legal services, home services, and financial services, phone remains the primary customer contact channel.

That's where AI phone agents like Dialzara come in. While the platforms above handle written communication, Dialzara provides:

• AI-powered phone answering in English and Spanish
• 24/7 availability without staffing multiple time zones
• Call routing, appointment scheduling, and FAQ handling
• Integration with your existing CRM and business tools

A complete strategy combines text-based tools with voice AI. You might use DeepL for email support, Intercom for chat, and Dialzara for phone calls - covering every channel your customers use.

The ROI of Multi-Language Support

The business case is straightforward. According to Unbabel research, 68% of consumers would switch brands if another brand offered support in their native language. And 29% of businesses report losing customers because they don't offer support in multiple languages.

Here's a simple cost comparison:

Traditional model: 100,000 interactions × $5 average cost = $500,000/month

AI-hybrid model: 80,000 AI interactions × $0.50 + 20,000 human × $5 = $140,000/month

That's a 72% cost reduction while potentially improving customer satisfaction. Most businesses see measurable improvements in satisfaction scores and retention within three to six months of adding multi-language support.

How to Choose the Right Platform

Selecting the right platform depends on several factors specific to your business:

1. Identify Your Priority Languages

Start with the languages your customers actually speak. Check your website analytics, support ticket data, and sales records. In the United States alone, residents speak over 350 languages. Don't pay for 130 languages if you only need five.

2. Map Your Customer Channels

Where do customers contact you most? If 80% of inquiries come through phone, prioritize voice AI. If chat dominates, focus on AI chatbot solutions. According to recent research, 64% of customers find 24/7 availability the best feature of a chatbot.

3. Consider Integration Requirements

The best platform integrates with your existing tools. Check compatibility with your CRM, helpdesk, and phone system before committing.

4. Evaluate Accuracy vs. Coverage

More languages doesn't always mean better support. AI translation currently delivers 70% to 85% accuracy, while human translators hit 95% to 100%. DeepL covers fewer languages than Google Translate but delivers higher accuracy for the languages it does support.

5. Calculate Total Cost of Ownership

Factor in API costs, per-seat licensing, implementation time, and ongoing maintenance. A cheaper tool that requires more human oversight may cost more long-term.

Building Your Multi-Language Support Stack

Most businesses need multiple tools working together. Here's a practical framework:

For text channels (chat, email, messaging):

• Choose a primary AI chatbot (Intercom, Helpshift, or Avaamo)
• Add a translation API (DeepL or Google Translate) for agent assistance
• Implement a knowledge base in your top customer languages

For voice channels (phone calls):

• Deploy an AI phone agent like Dialzara for 24/7 coverage
• Configure language routing based on caller preferences
• Set up escalation paths to bilingual human agents when needed

For content localization:

• Use a translation management platform (Smartling or Lokalise) for help articles
• Maintain terminology glossaries for consistent brand voice
• Review and update translated content regularly

Compliance Considerations

Some regions require multi-language support by law. Canada mandates English and French support. The EU enforces GDPR-related language requirements. Before expanding internationally, check the regulatory requirements in your target markets.

Key Takeaways

Effective multilingual customer support requires matching the right tools to your specific channels, languages, and customer expectations. Here's a quick summary:

• For broadest language coverage: Google Translate or Microsoft Translator
• For highest translation accuracy: DeepL
• For complete chat/messaging automation: Intercom or Helpshift
• For enterprise conversational AI: Avaamo
• For translation management at scale: Smartling or Lokalise
• For multilingual phone support: Dialzara

The best solution for your business depends on your customer base, preferred channels, and budget. Start by mapping where your customers need language support most, then build your stack accordingly.

Ready to add multilingual voice support to your customer service operation? Explore Dialzara's pricing plans to see how AI phone agents can help you serve customers in multiple languages around the clock.

For more insights on AI customer service tools and automation strategies, visit our blog or check our FAQs for answers to common questions about building your support stack.