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◆ Multilingual AI Calling Agent
◆ English, Hindi, Marathi, Telugu, Tamil & More
◆ Code-Switching Ready
◆ Inbound & Outbound Campaigns
◆ Fully Managed Service
◆ Troika Tech
◆ Multilingual AI Calling Agent
◆ English, Hindi, Marathi, Telugu, Tamil & More
◆ Code-Switching Ready
◆ Inbound & Outbound Campaigns
◆ Fully Managed Service
◆ Troika Tech
// Fully Managed Multilingual AI Voice Agents for Indian Businesses
Multilingual AI Calling Agent: Transform Customer Conversations Across Indian Languages
India is not a single-language market. A customer in Mumbai may prefer Marathi, Hindi or English. A buyer in Hyderabad may begin in Telugu and switch to English while discussing prices. Even within the same call, people frequently combine languages — "I am interested, lekin price thoda explain kijiye."
Traditional automated systems depend on fixed recordings or rigid keypad menus, and building separate human calling teams for every region is expensive and operationally complex. A multilingual AI calling agent provides a more scalable solution — an intelligent voice agent that can call and receive calls, understand customers in different languages, respond naturally and complete business actions such as qualifying leads, booking appointments and transferring interested customers to employees. Troika Tech, a fully managed ai calling agency, manages the complete multilingual AI calling journey for Indian businesses — not just software access.
MULTILINGUAL AI · LIVE
87%
Enterprises Using AI, Dec 2025
$131.31B
Projected India AI Market by 2032
42.2%
AI Market CAGR to 2032
300+
AI Language Models on BHASHINI
Definition
What Is a Multilingual AI Calling Agent?
A multilingual AI calling agent is a software-based voice agent that can communicate with customers in two or more languages over telephone calls — for inbound calls, outbound calls or both. Unlike a traditional recorded message, it can listen to the customer's response, understand the meaning, decide what action to take and reply dynamically.
It may support English, Hindi, Marathi, Telugu, Tamil, Gujarati, Bengali, Kannada, Punjabi, Malayalam, Hinglish and other regional languages — exact coverage depends on the speech-recognition models, text-to-speech systems and quality testing built into the underlying AI calling platform.
The important capability is not merely playing recordings in different languages. It is maintaining context while the customer speaks naturally.
AI Agent (English)
"Hello, I am calling regarding your property enquiry. Which language would you prefer: English, Hindi or Marathi?"
Customer
"Hindi mein baat kijiye."
AI Agent (Hindi)
"ज़रूर। आप अपने रहने के लिए प्रॉपर्टी देख रहे हैं या निवेश के लिए?"
Customer (switches back)
"What is the possession date?"
Why It Matters
Why Multilingual AI Calling Matters in India
India's linguistic diversity creates both an opportunity and a challenge. Customers may understand a national language but still prefer discussing important decisions in their mother tongue.
Preference Matters Most When Discussing
→Property purchases & financial documentation
→Medical appointments
→Education admissions
→Insurance renewals & travel bookings
→Service complaints & payment reminders
A familiar language makes it easier to explain a requirement, express objections, give consent or request human assistance. The objective is not simply linguistic translation — it is reducing communication friction.
Regional Expansion Without a Separate Team per City
✗Hiring delays & training costs
✗Shift management & employee turnover
✗Quality variation across regions
✗Inconsistent product explanations
A multilingual AI calling agent lets a business expanding from Mumbai to Hyderabad, Chennai, Bengaluru and Kolkata configure different languages on one coordinated platform — and BHASHINI's push for language-inclusive digital services (22+ Indian languages) is raising customer expectations for this everywhere.
Comparison
Multilingual AI Calling Agent vs Traditional IVR
"For English, press one. हिंदी के लिए दो दबाएं." — a traditional IVR forces keypad menus. A multilingual AI calling agent lets the person speak naturally.
Capability
Traditional IVR
Multilingual AI Agent
Natural speech understanding
Limited
Yes
Open-ended conversations
No
Yes
Language switching
Usually no
Possible
Dynamic answers
No
Yes
Lead qualification
Basic
Advanced
Appointment booking
Limited
Yes
CRM updates
Limited
Yes
Interruption handling
No
Possible
Knowledge-base answers
No
Yes
Call summary generation
No
Yes
Human transfer
Yes
Yes
Personalised conversation
Minimal
Yes
← swipe to see full table →
Traditional IVR remains useful for predictable menu-based routing. Multilingual AI calling is more suitable when the business needs actual dialogue, qualification, information exchange or decision-making.
Workflow
How Does a Multilingual AI Calling Agent Work?
A multilingual voice call depends on several technologies working together with low delay.
1Telephony Infrastructure. The call may be triggered by a website enquiry, CRM lead creation, missed call or marketing campaign, and connects the AI agent with the customer via an authorised business number.
2Language Identification. Either explicit selection ("Would you prefer English, Hindi, Marathi or another language?") or automatic detection from the audio — some implementations combine both, detecting and then confirming.
3Speech-to-Text Conversion. Must understand regional pronunciation, Indian English, mixed-language speech, local names and numbers — e.g. "Budget around पचास लाख है, but location Thane side chahiye" should resolve to ₹50 lakh, Thane.
4Intent & Meaning Detection. "मुझे जानकारी चाहिए," "Details bhejo" and "Can you send the brochure?" should all be recognised as the same information request.
5Conversation Management. The agent must maintain context — remembering a customer said "MBA, full-time" while interpreting a follow-up Hindi pricing question about fees.
6Response Generation. Avoiding word-for-word translation where it would sound unnatural — appropriate vocabulary, correct politeness level, short sentences and consistent brand terminology.
7Text-to-Speech Generation. Evaluated for clarity, pronunciation, tone, pacing and regional words — a voice that sounds impressive in a studio demo can perform poorly over real, compressed telephony audio.
8Business Action & Integration. Transfer the call, schedule an appointment, send a WhatsApp message, update a CRM, create a support ticket or notify a sales manager — a core strength of AI calling agents with CRM integration.
9Transcription & Analytics. Original-language transcript, translated transcript, call summary, detected language, sentiment indicators — managers can review calls across languages using translated summaries while original recordings stay available.
Managers may review calls across languages using translated summaries while retaining original recordings for accuracy.
The Core Challenge
Code-Switching: The Most Important Multilingual AI Challenge
Indian customers frequently switch languages during a sentence or conversation — a behaviour called code-switching. A basic translation engine may process one language at a time and fail when two languages appear together.
A production-ready agent should be designed for Hinglish, Tanglish, Telugu-English, Marathi-Hindi, Gujarati-English and Bengali-English combinations, plus industry-specific English words used inside regional languages — budget, price, site visit, appointment, EMI, admission, insurance, renewal, demo are commonly spoken in English even mid-sentence in a regional language.
Forcing complete translation may make the call sound less natural. The agent should speak the way the target customer segment actually communicates.
Code-Switched Example
"Price final hai ya negotiable?"
Code-Switched Example
"मुझे brochure WhatsApp पर भेज दीजिए."
Code-Switched Example
"Site visit kal possible hai kya?"
Code-Switched Example
"Course online है या classroom?"
Language Coverage
Which Languages Can It Support?
Available coverage depends on the provider and technical stack — every language should be tested independently.
LANGUAGE 01
English
Widely used in B2B sales, software, finance, premium real estate and professional services — must handle Indian English accents and industry terminology.
LANGUAGE 02
Hindi
Important for nationwide consumer communication. The AI should understand both formal Hindi and the more natural conversational register actually used in sales calls.
LANGUAGE 03
Marathi
Useful across Mumbai, Thane, Pune, Nashik, Nagpur — the voice should correctly handle local names and common Marathi-English code-switching.
LANGUAGE 04
Telugu
Supports Telangana and Andhra Pradesh customers — Hyderabad real estate, hospital appointments, automobile reminders, education admissions.
LANGUAGE 05
Tamil
Supports Chennai, Coimbatore, Madurai and other Tamil Nadu markets — pronunciation and politeness levels must be tested carefully for the audience.
LANGUAGE 06
Gujarati
Useful for Ahmedabad, Surat, Vadodara, Rajkot campaigns across retail, manufacturing, finance, real estate and events.
LANGUAGE 07
Bengali
Used for West Bengal and Bengali-speaking communities elsewhere — tested for names, numbers and mixed English terminology.
LANGUAGE 08
Kannada
Supports Bengaluru, Mysuru, Hubballi and other Karnataka markets — many Bengaluru conversations include Kannada-English switching.
LANGUAGE 09
Malayalam & Punjabi
Malayalam supports Kerala across healthcare, education, tourism, finance and retail. Punjabi supports sales, agriculture, education, finance, automobile and service campaigns across Punjab and nearby markets.
Industry Spotlight
Multilingual AI Calling for Real Estate
Real estate businesses generate enquiries from customers with widely different language preferences, and partnering with an established ai calling company in India helps convert that diversity into more site visits. A multilingual agent contacts new leads, asks the preferred language, confirms project interest, captures configuration and budget, identifies location and timeline, books site visits, sends brochures and transfers qualified buyers.
Property purchases involve detailed questions about location, price, payment plans, possession, amenities and financing — customers may understand these details far better in their preferred language.
AI Agent
"नमस्ते, आपने हमारे प्रॉपर्टी प्रोजेक्ट के बारे में जानकारी मांगी थी। क्या आप हिंदी में बात करना चाहेंगे या English?"
Customer
"Hindi is fine. 2 BHK ka price kya hai?"
AI Agent
"दो बेडरूम अपार्टमेंट की कीमत उपलब्ध यूनिट और फ्लोर के अनुसार अलग हो सकती है। आपका approximate budget कितना है?"
Use Cases
Multilingual AI Calling Across Industries
INDUSTRY 01
Healthcare
Appointment scheduling, reminders, doctor availability and department routing in the patient's familiar language, handled by AI voice agents for customer support. Sensitive or clinical discussions must be transferred to authorised staff.
INDUSTRY 02
Education
The student may prefer English while the parent prefers Hindi, Marathi or Telugu — a multilingual workflow supports both audiences without separate campaigns.
INDUSTRY 03
Banking, Finance & Insurance
Renewal reminders, KYC follow-up, loan qualification and branch scheduling — with strict controls: the AI should never guarantee approval, promise returns or make unauthorised financial claims.
INDUSTRY 04
E-Commerce
COD confirmation, address verification, delivery rescheduling and abandoned-cart follow-up — confirming orders in the customer's preferred language can reduce failed deliveries.
INDUSTRY 05
Automobile
Test-drive scheduling, service reminders and insurance renewals are well suited to AI calling agents for automated follow-ups, with the initial call in the local language transferring to a matching sales executive.
INDUSTRY 06
Hotels & Travel
Reservation confirmation, travel-package enquiries and guest feedback — valuable when serving domestic tourists across multiple states.
INDUSTRY 07
Events & Manufacturing
Event organisers can call different database segments in different languages while results flow to one dashboard; manufacturers use it for dealer onboarding, order follow-up and distributor surveys.
INDUSTRY 08
Public & Political Outreach
Authorised public-information, survey and outreach workflows — event invitations, volunteer coordination and feedback surveys. Requires careful review of consent, telecom rules and applicable public-communication regulations.
Call Direction
Inbound & Outbound Multilingual AI Calling
Inbound Capabilities
✓Answer calls outside office hours
✓Route callers by language
✓Capture enquiries & schedule appointments
✓Create support tickets & arrange callbacks
Customer
"मुझे service appointment book करना है."
AI Agent
"ज़रूर। कृपया बताइए, आपकी गाड़ी का मॉडल क्या है?"
Outbound Workflows
✓Lead qualification & sales follow-up
✓Appointment reminders & renewals
✓Payment reminders & event promotions
✓Order verification, surveys & reactivation
Language can be assigned from a customer profile, CRM field or real-time detection — but location should not be an absolute assumption (a Bengaluru customer may prefer Hindi, Tamil, Telugu, Kannada or English). Always offer an easy way to change language.
Benefits
Benefits of a Multilingual AI Calling Agent
1. Wider Customer Reach
Engage customers who may not respond comfortably to English-only campaigns.
2. Improved Understanding
Customers receive important information in a familiar language.
3. Faster Regional Expansion
Launch calling workflows in multiple cities without a separate operation per language.
4. Consistent Messaging
Every customer receives approved information regardless of language.
5. Reduced Repetitive Work
AI handles first-level qualification while humans focus on complex conversations.
6. Better Lead Qualification
Structured capture of product interest, budget, location and preferred language.
7. Improved Call Routing
Customers transferred to employees who speak the required language.
8. Scalable Campaigns
Multiple language campaigns can run simultaneously, subject to compliance controls.
9. Searchable Data & Extended Availability
Call transcripts and summaries reviewed across languages, and inbound agents can answer routine enquiries beyond standard working hours.
Market Data
Multilingual AI Calling Statistics & Market Insights
→India's AI market grew from ~US$2.97 billion to US$7.63 billion between 2020 and 2024, and is projected to reach US$131.31 billion by 2032 — a 42.2% CAGR, per a Government of India publication.
→The NASSCOM AI Adoption Index scored India at 2.45 out of 4, with 87% of enterprises actively using AI solutions as of December 2025.
→Industrial/automotive, consumer goods/retail, BFSI and healthcare together contributed around 60% of AI's total value.
→India had more than 1,800 global capability centres, including 500+ focused on AI, and 6 million+ people in the technology and AI ecosystem.
→BHASHINI already hosted more than 300 AI-based language models as of a January 2026 government document, part of its mission to enable citizens to access digital services in their own languages.
These statistics indicate substantial growth. They do not mean every multilingual AI calling project succeeds automatically — success depends on accurate speech recognition, natural voice quality, strong code-switching support, reliable integration, compliance and continuous optimisation.
Under the Hood
Technical Architecture of a Multilingual AI Calling Agent
A reliable voice agent is not one single AI model — it is a coordinated real-time system.
LAYER 01
Telephony Layer
Inbound/outbound calls, number management, routing, transfers, audio streaming and recording.
LAYER 02
Voice Activity Detection
Determines when the customer begins and stops speaking — poor detection causes premature responses or interrupted sentences.
LAYER 03
Speech Recognition Layer
Recognition accuracy, language detection speed, code-switching support, and number/proper-noun accuracy.
LAYER 04
Conversation Orchestration
Prompt instructions, business rules, conversation state, qualification logic, transfer conditions and error handling.
LAYER 05
Language & Translation Layer
Direct multilingual reasoning or separate translation models, language-specific prompts and terminology dictionaries.
LAYER 06
Text-to-Speech Layer
Generates the AI agent's voice and should stream audio quickly instead of waiting for the entire response.
LAYER 07
Integration Layer
Connects with CRM platforms, calendars, WhatsApp, helpdesks, payment tools and analytics platforms.
LAYER 08
Monitoring Layer
Tracks call failures, latency, language detection, transfer success and customer disconnections in production.
Challenges
Challenges of Multilingual AI Calling
Accent Variation
The same language sounds different across regions — Mumbai Hindi carries Marathi/English influence; Indian English accents vary substantially.
Background Noise
Traffic, markets, factories and homes with television noise — recognition must handle real telephone conditions.
Mixed-Language Speech
Code-switching is one of the hardest challenges — the system must recognise both languages without losing context.
Proper Nouns
Names of people, locations, companies and products may be misrecognised — a custom vocabulary can improve performance.
Translation Accuracy
Literal translation can change meaning — business-approved translations should be reviewed by native speakers.
Politeness & Cultural Context
A sentence professional in English may sound overly formal translated directly — design should be localised, not merely translated.
Response Latency
Separate detection, translation, reasoning and speech-generation systems can add delay — architecture must balance accuracy and speed.
Maintaining Multiple Knowledge Bases
When pricing or policies change, every language version must remain aligned — a central structured knowledge source reduces inconsistency.
Compliance
Compliance for Multilingual AI Calling in India
Language automation does not remove the need for responsible commercial communication. TRAI's consumer guidance treats promotional voice calls as commercial communications requiring explicit consent, and allows consumers to register preferences through the National Customer Preference Register (the DND Registry). The 2025 amendments to TRAI's commercial-communications regulations strengthened customer-protection provisions.
SAFEGUARD 01
Identify the Business Clearly
Explain the call purpose and avoid misleading statements.
SAFEGUARD 02
Respect DND & Consent
Review customer consent, DND preferences and permitted communication category before contacting.
SAFEGUARD 03
Stop & Record Opt-Outs
Stop promotional conversation after refusal and record the opt-out request immediately.
SAFEGUARD 04
Transfer Sensitive Matters
Follow approved scripts, avoid collecting unnecessary personal data, and avoid contacting suppressed numbers.
The Process
How to Implement a Multilingual AI Calling Agent
1Choose One Business Use Case. New lead qualification, appointment reminder, order confirmation or event invitation.
2Identify Required Languages. Use existing customer records, sales regions and CRM language preferences — not assumptions.
3Define Language Behaviour. Ask customers to select, detect automatically, switch mid-call, or route language-specific calls.
4Write the Core Conversation. One approved business conversation before translating — introduction, questions, objections, transfer rules and closing.
5Localise Every Language. Not literal machine translation — natural vocabulary, formality, English loan words and number pronunciation.
6Prepare the Knowledge Base. Product information, pricing, offers, eligibility and escalation conditions.
7Configure Integrations. CRM, website, lead database, calendar, WhatsApp and helpdesk.
8Test Every Language. Accent variation, code-switching, background noise, interruptions, local names and opt-outs.
9Run a Pilot. Launch with a limited, relevant segment and compare results across languages.
10Optimise Language-Wise. Opening lines, speaking speed, question order and transfer thresholds may all need to differ by language.
Measurement
Metrics for Multilingual AI Calling Campaigns
Track overall performance and language-specific performance separately.
METRIC 01
Connection Rate
Connected calls divided by attempted calls.
METRIC 02
Conversation Completion Rate
Connected customers who complete the required call flow.
METRIC 03
Language Detection Accuracy
How often the system correctly identifies the customer's language.
METRIC 04
Qualification & Appointment Rate
Conversations producing qualified leads or resulting appointments.
METRIC 05
Transfer & Acceptance Rate
Calls transferred to employees, and the percentage answered by the human team.
METRIC 06
Code-Switching Accuracy
How accurately the system understands mixed-language statements.
METRIC 07
Average Response Latency
The time between the customer finishing and the AI responding.
METRIC 08
Cost Per Outcome
Campaign cost divided by successful results.
METRIC 09
Opt-Out Rate
A high opt-out rate may indicate poor targeting, excessive frequency or unclear communication.
Avoid These
Common Multilingual AI Calling Mistakes
Translating Instead of Localising
Word-for-word translation often sounds unnatural.
Claiming Too Many Languages
A provider may list many languages but offer inconsistent real-call quality.
Ignoring Code-Switching
Indian customers rarely speak in perfectly separated language categories.
Long Introductions
A customer should understand the purpose quickly.
Failing to Test Numbers
Prices, phone numbers, dates and appointment times are critical to get right.
One Voice Style for Every Audience
A premium property campaign and a service reminder need different tones.
No Language Change Option
Customers should be able to switch language easily mid-call.
Updating Only the English KB
Every language must reflect current information.
Measuring Only Call Volume
Successful multilingual calling must be measured by customer outcomes, not raw dialling volume.
Selection Guide
How to Choose the Best Multilingual AI Calling Company
ASK 01
Which Languages Work on Live Calls?
Request actual calls, not audio samples.
ASK 02
Can It Handle Code-Switching?
Test realistic mixed-language phrases directly.
ASK 03
How Does It Handle Interruptions?
The AI should stop speaking when the customer interrupts.
ASK 04
Can It Detect Language Automatically?
Ask about detection speed and accuracy.
ASK 05
Can Customers Switch Mid-Call?
Important for natural Indian conversations.
ASK 06
Does It Support Live Transfer?
Confirm language and qualification data pass to the employee.
ASK 07
Can It Integrate With Our CRM?
Ask about APIs, webhooks and native integrations.
ASK 08
Are Translated Transcripts Available?
Managers may need English summaries of regional-language calls.
ASK 09
Who Reviews the Translations?
Native-language review is essential for customer-facing campaigns.
ASK 10
Who Optimises the Agent After Launch?
Multilingual performance requires continuous monitoring, not a one-time setup.
The Partner
Why Choose Troika Tech for a Multilingual AI Calling Agent?
Troika Tech provides a fully managed multilingual AI calling service for Indian businesses — the complete AI calling journey, not just software access.
Strategy, Design & Language
✓AI calling strategy & required-language identification
✓Multilingual conversation design (English, Hindi, Marathi, Telugu, Tamil, Gujarati, Bengali, Kannada, Punjabi & more)
✓Localised scripts, not word-for-word translation
✓Inbound & outbound calling on one managed solution
Technology & Ongoing Support
✓Telephony integration & live transfers
✓CRM, Google Sheets, calendar & WhatsApp integration
✓Call recordings & transcripts
✓Continuous optimisation using real call data, language-wise
FAQ
Frequently Asked Questions About Multilingual AI Calling Agents
What is a multilingual AI calling agent?
+
A multilingual AI calling agent is a voice-based software system that can make or receive calls and communicate with customers in multiple languages.
How many languages can an AI calling agent support?
+
This depends on the speech-recognition, language and voice systems used. Some platforms support several Indian and international languages, but every language should be tested independently.
Can an AI calling agent speak Hindi?
+
Yes. It can be configured for Hindi conversations and mixed Hindi-English communication.
Can it speak Marathi, Telugu or Tamil?
+
Yes, for all three, subject to voice and speech-recognition quality testing with native speakers for the intended campaign.
Can the AI speak more than one language in the same call?
+
A well-designed system can support language switching and code-switching within a single call.
Can the agent automatically detect a language?
+
Yes, depending on the technology used. Some businesses may still prefer explicit language selection for accuracy.
What is code-switching?
+
Code-switching occurs when a customer moves between two or more languages during the same sentence or conversation.
Can multilingual AI understand Hinglish?
+
Yes, when the speech-recognition and conversation system are configured and tested for Hinglish specifically.
Can the agent transfer calls based on language?
+
Yes. Calls can be routed to employees who speak the detected or selected language.
Can the call transcript be translated into English?
+
Yes. The platform can generate an original-language transcript and an English translation or summary.
Can multilingual AI calling integrate with CRM software?
+
Yes. It can update lead status, language preference, qualification information and follow-up actions.
Can the agent send WhatsApp messages?
+
Yes, when connected with an authorised messaging workflow.
Is multilingual AI calling suitable for small businesses?
+
Yes. Small businesses can begin with one or two languages and a focused workflow.
Is it suitable for enterprises?
+
Yes. Enterprises may deploy multiple languages across departments, regions and customer segments.
Can an AI calling agent replace multilingual employees?
+
It can automate repetitive first-level conversations, but human employees remain important for complex, sensitive and relationship-driven interactions.
How much does multilingual AI calling cost?
+
Cost depends on language, call duration, volume, integrations, voice quality, concurrency and managed-service requirements.
How quickly can a multilingual agent be launched?
+
The timeline depends on the number of languages, conversation complexity, integrations, translations, testing and approvals.
How is multilingual AI calling ROI measured?
+
Measure qualified leads, appointments, transfers, successful reminders, cost per outcome, language-wise conversion and employee time saved.
Does Troika Tech provide only software?
+
No. As a full-stack AI voice agent company, Troika Tech provides a fully managed service including strategy, conversation design, language configuration, voice selection, telephony, integration, testing, deployment, monitoring and optimisation.
What's Next
The Future of Multilingual AI Calling
As speech models improve, multilingual agents are likely to get better at accents, code-switching, real-time translation and maintaining context.
A Customer's Omnichannel Journey
1Submit a website enquiry in English
2Receive a Hindi AI call
3Request a Marathi WhatsApp brochure
4Book an appointment & speak with a human executive
5Receive reminders & give feedback in the preferred language
The companies that succeed will not be those that simply claim the largest number of languages. They will be the companies that provide accurate conversations, natural localisation, fast responses, reliable integrations, human escalation and measurable outcomes.
Conclusion
Why Businesses Need Multilingual AI Calling
A multilingual AI calling agent, delivered through fully managed AI calling services in India, can help a business engage customers in the language they understand and prefer — particularly valuable when the organisation operates across several Indian states, receives enquiries in different languages, or needs scalable, language-based call routing.
The strongest approach is not AI instead of humans — it is AI working alongside humans. The AI agent handles repetitive conversations, first-level qualification, reminders and routing; human employees handle negotiation, empathy and relationship building.
Troika Tech's Fully Managed Service Includes
✓AI calling strategy & language selection
✓Conversation design & script localisation
✓Natural voice selection & telephony
✓CRM integration & WhatsApp workflows
✓Live call transfer, recordings & transcripts
✓Testing, analytics & continuous optimisation
Get StartedDeploy a Multilingual
Deploy a Multilingual
AI Calling Agent With Troika Tech
Speak with Troika Tech about your target languages, call volume, customer segments, integrations and campaign goals. This is especially valuable across real estate, healthcare, education, BFSI, e-commerce, automobile, hospitality, events, manufacturing and public outreach.
English. Hindi. Marathi. Telugu. Tamil. Gujarati. Bengali. Kannada. Punjabi. Fully Managed.
Engage customers in their preferred language, qualify leads faster, book appointments and connect interested prospects directly with your team.
Contact Troika Tech today to deploy a multilingual AI calling agent for your business.
// Request a Multilingual AI Calling Demo Today