April 25, 2025

Multilingual Customer Support: In-house, Outsource, Or AI?

Medha Mehta
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Providing multilingual customer support is one of the most complex and resource-intensive challenges for businesses. Hiring fluent speakers—often across different countries—can quickly become costly and difficult to manage. That’s why having a clear strategy for multilingual support is essential. In this article, we explore the most widely used approaches—including in-house teams, outsourcing, AI-powered solutions, and hybrid models—breaking down their pros and cons to help you choose the best fit for your business. Let’s begin. 

Strategy 1: Fully Managed Multilingual Support 

This is one of the most straightforward strategies for delivering multilingual customer support. In this model, you outsource the entire support operation to a specialized fully-managed multilingual customer service provider, like Crescendo.ai, who handles everything end-to-end, including:

  • AI-powered tools (chatbots, voice assistants, etc.)
  • A global team of multilingual support representatives
  • Ticketing systems and software licenses
  • Quality assurance (QA) processes
  • Compliance and regulatory management
  • Knowledge base creation and management
  • Real-time insights and analytics
  • CSAT score tracking
  • Sentiment analysis
  • A team of CX specialists

Instead of managing complex workflows, hiring multilingual agents, or paying per-agent software fees, you simply pay a fixed or per-resolution rate, making this a hands-free and highly scalable solution.

Pros

1. Simple Budgeting

Managed support providers typically charge a fixed amount per resolved ticket. This allows for clear budgeting based on your monthly or annual ticket volume.

Example:
Let’s say your managed partner, Crescendo.ai, charges $2.99 per resolution, and your business receives an average of 30,000 tickets annually. Your total multilingual support cost would be around $90,000/year—this is less than hiring just two full-time support agents in the U.S.

This fee includes complete 24/7 multilingual support in over 50 languages, seamless AI-to-human agent transitions, QA, compliance, CSAT, and sentiment analysis, and 20+ other support features, all without you lifting a finger.

2. Flexibility with a Hybrid Model

Worried about replacing your in-house team? You don’t have to. A fully managed multilingual support provider can work alongside your internal team. You can retain your existing staff to focus on local support, strategic tasks, or high-priority customers, while outsourcing only the multilingual portion to a specialized provider. You can also use this outsourced team to help clear ticket backlogs during peak times. Since the pricing is based on per-resolution, it’s a highly flexible model—you only pay for the tickets you choose to delegate.

3. Avoid Complicated AI Implementations and Workflow

While AI is one of the best ways to handle multilingual support, it is quite challenging to create workflows and a huge inventory of support documents from which AI understands your business policies and solves the issues. It generally requires a dedicated IT staff to do that. But with a fully managed support partner, this entire implementation process is taken over, from creating workflows to integrating an entire AI system to the chatbots, AI voice assistants, and automatic email ticket support. 

4. Eliminate Hiring and Management Hassles

Hiring and managing a multilingual support team across different regions can be incredibly resource-intensive. It often requires:

  • Recruiters find qualified candidates

  • HR teams to manage payroll, benefits, and staffing issues

  • Trainers to onboard and upskill new hires

  • QA specialists to ensure consistent service quality

  • Legal and compliance teams need to navigate global regulations

With a fully managed service, all of this is handled for you. There’s no need to build or maintain a team. You simply pay per resolved ticket, and everything from hiring to training, compliance, and quality assurance is included.

Cons

1. Risk of Overdependence on Your Managed Support Provider

When you outsource a wide range of support operations—from AI implementation and compliance to QA and knowledge base management—it’s easy to feel like you’ve lost visibility and control. You may not know who is handling your customers or where they are located. This level of dependency can make it difficult to transition back to an in-house team in the future. That’s why it’s important to view this as a long-term partnership, not just a temporary solution, when selecting a managed support provider.

2. Hidden Costs in “Per Resolution” Pricing

Some providers advertise low per-resolution rates but charge extra for essential services like AI onboarding, staff training, sentiment analysis, QA processes, or software licenses. These hidden fees can significantly increase your total cost. Always ask for a full breakdown of what’s included.

With Crescendo.ai, you get transparent pricing—a flat per-resolution fee that includes everything: AI tools, 50+ language support, QA, compliance, CSAT tracking, sentiment analysis, reporting, and more. No add-ons. No surprises.

Strategy 2: In-house Multilingual Customer Support + AI Tools

In this strategy, you already have an in-house team providing multilingual support, but they are overloaded due to business growth or seasonal demand spikes. To ease their workload, you integrate AI solutions—such as multilingual AI chatbots, AI voice assistants, and automated email ticketing—into your existing system.

Here’s how it works:

  • Step 1: AI tools manage repetitive, straightforward queries automatically.

  • Step 2: More complex queries that require human judgment and empathy are seamlessly transferred to your in-house support team.

Caution with Multilingual AI: AI technology can effortlessly respond to customer queries in 50+ languages, helping businesses expand their global reach. However, escalations are a challenge. When a bot cannot resolve an issue and a customer requests a human agent, they expect support in their own language. This means businesses still need to hire human representatives for each language to handle escalated tickets—a task that can be particularly difficult for small businesses. 

That’s why businesses have started to adopt the first strategy of partnering with a fully managed support providers that handle multilingual support agents along with AI bots. 

Example: In the retail industry, most support tickets revolve around returns and order status. These are straightforward inquiries that AI bots can easily manage, significantly reducing the workload on support staff

Best Multilingual AI Providers.

  1. Crescendo.ai: It offers multilingual support in 50+ languages with AI chatbots, AI-backed voice assistants, automated email ticket handling, knowledgebase article translations, multilingual reports and insights, and 20+ other features that easily integrate with your existing system.
  2. Zendesk: It provides multilingual support with AI-driven chatbots, automated ticket routing, and real-time translation features to help global teams manage customer interactions seamlessly.
  3. Freshchat: It delivers multilingual customer support through AI-powered bots, automated messaging flows, and live chat translations, making it easier to engage users across different languages.
  4. Intercom: Supports over 40 languages in its Help Center and live chat, ensuring consistent multilingual experiences across multiple communication channels.
  5. Tidio: Combines live chat and AI chatbots to offer multilingual support, enabling businesses to communicate effectively with customers worldwide.
  6. Zoho Desk: Features a multilingual knowledge base and real-time ticket translation, supporting over 50 languages to cater to a diverse customer base. ​
  7. Ada Support: Provides AI-powered chatbots with real-time translation and multilingual capabilities, allowing businesses to automate responses across various languages.

Strategy 3: Outsourcing Multilingual Support

There are three main approaches to outsourcing multilingual customer support:

1. 100% Outsourcing 

Businesses fully outsource their support operations to one or more third-party agencies that offer multilingual customer service through a global network of support representatives. Here are some top outsourcing companies that offer cost-efficient multilingual customer support on a global scale. 

  • PartnerHero: Offers multilingual customer support with a global team fluent in various languages, providing 24/7 coverage across email, phone, and chat channels to enhance customer experience worldwide.
  • Teleperformance: A global leader offering multilingual customer support in over 170 markets with a workforce fluent in 265+ languages and dialects.
  • Concentrix: Provides multilingual customer experience services across 40+ countries, covering a wide range of industries and languages.
  • Sitel Group (now Foundever): Delivers multilingual customer support across 100+ locations worldwide, specializing in personalized CX solutions.
  • TTEC: Offers multilingual contact center services in 80+ languages with a focus on AI-enhanced and human-driven support models.
  • Alorica: Provides multilingual customer service across 17 countries, helping brands support global customers with native language agents.

2. Hybrid Model

In the hybrid model, businesses maintain an in-house team to handle support in their primary language while outsourcing support for additional global languages to specialized agencies. The agencies mentioned earlier can also be used for this hybrid setup.

The main advantage of this approach is that you retain greater control over customer support quality and customer insights. However, you will still incur additional costs for:

  • Software licensing

  • Surcharge rates for extra hours, seasonal peaks, and holiday coverage

  • Training expenses

  • Quality assurance (QA)

  • International compliance specialists

Additionally, outsourcing partners rely heavily on your internal knowledge base and training materials. It’s crucial to ensure that these resources are always updated, comprehensive, aligned with your branding guidelines, and reflect any changes in your services or policies.

Pros:

  • Greater Control: You maintain direct oversight of customer support quality, processes, and customer insights.

  • Cost Efficiency: Outsourcing only specific languages reduces the need for full-scale global hiring while managing core operations internally.

  • Flexibility: You can quickly scale multilingual support up or down based on business needs without disrupting your in-house team.

Cons:

  • Higher Hidden Costs: You still bear expenses like software licensing, training, surcharge rates for seasonal demand, and compliance specialists.

  • Knowledgebase Dependency: Outsourcing agencies rely on your internal resources and training material; gaps or outdated information can hurt service quality.

  • Coordination Challenges: Managing two teams—internal and external—can complicate workflows, consistency, and communication.

3. In-house + Outsourcing + AI Tools

In this model, businesses combine an in-house team for local language support, third-party agencies for multilingual live agent support, and AI tools to handle simple, repetitive multilingual queries—creating a balanced, scalable support system.

AI handles routine queries, reducing the workload for both the in-house and outsourced teams. However, this approach requires a sizable internal staff, including:

  • An IT team to manage AI workflows and integrations,

  • A human resources team to oversee recruitment, payroll, leave management, and internal HR issues,

  • A coordination team to manage communication, training, QA, and reporting with outsourcing partners.

Pros:

  • Workload Optimization: AI handles basic queries, allowing human teams to focus on complex, high-value interactions.

  • Global Scalability: Easily expand support operations across languages and regions without fully overloading the internal team.

  • Cost Management: Reduces reliance on expensive full-time multilingual staff by combining automation and selective outsourcing.

Cons:

  • Higher Operational Complexity: Managing AI systems, internal teams, and outsourcing partners simultaneously requires strong coordination.

  • Significant Staffing Needs: You still need a large support infrastructure internally for IT, HR, QA, and vendor management.

  • Dependence on Up-to-date Systems: AI tools and outsourcing quality heavily depend on the accuracy and freshness of your knowledge base, training content, and processes.

Final Words on Multilingual Customer Support

Choosing the right multilingual support strategy depends on your business size, budget, and goals. While in-house teams, outsourcing agencies, and hybrid models all have their advantages, managing them can be complex and costly. Crescendo.ai offers a simpler, smarter solution—combining AI-powered automation with a fully managed global support team across 50+ languages. With transparent pricing, 24/7 coverage, and seamless AI-to-human transitions, Crescendo.ai eliminates the hassle of hiring, training, compliance, and technology management. It is the most efficient and scalable choice for businesses aiming to deliver world-class multilingual customer support.

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