AI Voice Agent For Business: A Complete Guide 2025

Rajeshwari Published On April 11th, 2025 Share it on

The world is turning towards AI. 

Businesses have started building their own AI voice agents to speed up response times, reduce the workload for human agents, and deliver consistent, helpful service around the clock.

If you’re ready to bring all these benefits to your business in 2025, this guide will walk you through everything you need to get started with building your own AI Voice Agents.

Get ready for an exciting read!

What Are AI Voice Agents?

Voice agents are AI-powered virtual assistants that communicate with users through voice. They use technologies like voice recognition and natural language processing (NLP) to understand what users say, figure out their intent, and respond in a natural, conversational way.

Key Features Of AI Voice Agents

AI Voice agents come with a wide range of features, in fact, with advanced technologies that make support operations easy and quick. 

In this section, I’ll walk you through some of the most popular AI Voice agent features and capabilities. Grab your pen or your keyboard to make a quick checklist so you can add them to your AI Voice Agent app development. 

High Priority:  Core Functionalities

1. Speech Recognition & ASR: This feature accurately converts the words you speak into machine-understandable text.
   
2. Natural Language Processing (NLP): Understand the natural language of a human to interpret the intent they are speaking with and the actual context of the conversation, rather than some random assumption.
   
3. Speech Synthesis & Voice Output: A voicebot does not sound robotic anymore. It synthesises the text and converts into natural, human-like speech. This is how voicebots like Alexa or Siri mimic human voice and tone.
   
4. Context Awareness: AI audio agents can analyse an user’s past interactions within a fraction of seconds, so that it can deliver more accurate and relevant responses.
   
5. Seamless Human Escalation: When the AI agent understands that it can’t handle a query or issue anymore, it transfers the call to a human agent, while retaining context as notes.
   
6. Real-Time Processing: With AI agents, there’s no delay, really. Bots can quickly answer user queries in real-time, as they have answers automated in them already. 

7. Integration with Existing Systems: AI agents can connect pretty much easily with any third-party tools – CRM, ERP, and backend databases, just anything you want for your business operations.
   
8. Scalability: Voicebots can handle unlimited interactions without performance issues. They are built for automation and can handle any scale of AI calls/ support operations.
   
9. Cost Efficiency: A voicebot can do the work of 100 support resources at the same time. This means you’ll invest for 1 resource in the place of 100 resources, saving both time and money.
   

Enhanced Efficiency: Carries out routine tasks like scheduling, FAQs, and troubleshooting.

Medium Priority: Advanced Capabilities

11. Personalization: Voicebots throw the right questions and understand user preferences better. This way, they can deliver a customized experience to users.
    
12. Multi-Language Support: Not just 1 language, your voicebots can communicate with your customers in any language. This means you can reach global customers even without having human resources from a multi-lingual background.
    
13. Advanced Data Analytics: These bots can keep a track of customer behavior on your platform and use these insights for support operations and recommendations based on their preferences.
    
14. Proactive Engagement: You don’t need to instruct a voicebot with daily huddles. It can initiate calls/messages for reminders, follow-ups, and promotions on its own.
    
15. AI-Powered Recommendations: AI agents understand customer preferences well. It suggests relevant products, services, or solutions at the right time!
    
16. Predictive Analytics: This is one of the key features in an AI voice call app that can anticipate the needs and preferences of your customer and provide proactive solutions.
    
17. Dynamic Call Routing: It can easily direct calls to the right department or agent.
    
18. Fraud Detection & Security: Your AI audio agent can identify suspicious activities on your platform and take corresponding security measures immediately.
    
19. Voice Biometrics: Your human agents or customers do not need a thumb print or an OTP to access your platform. They can use voice recognition for secure authentication.
    

Omnichannel Integration: It just works everywhere – across phone calls, messaging apps, web platforms, and smart devices.

Lower Priority: Specialized Features

21. Industry-Specific Customization:  You can customize a voice bot for any industry and any use case – for healthcare, finance, sales or edtech. Employ wherever you need and train it just the way you want.
    
22. Automated Survey & Feedback Collection: These bots are capable of gathering customer feedback via voice interactions.
    
23. Virtual Receptionist: It easily manages call screening, scheduling, and inquiries. It just acts as a receptionist to your customers.
    
24. Multimodal Interaction: Not just voice, these bots can work with text inputs too. It is not limited to only audio conversation.
    
25. Call Summarization & Transcription: It can automatically log and summarize conversations.
    
26. Cloud-Based Operation: Ensures easy updates and remote access.
    
27. Low-Latency Response: There’s no delay when it processes user input  and gives a response. 

28. Noise Cancellation: Filters all the background noise so it can understand inputs clearly.
    
29. Sentiment Analysis: Detects customer emotions and adjusts its responses accordingly.
    
30. Crisis & Emergency Handling: It’s never sluggish. Bots provide quick support in urgent situations.
    
31. Customizable Voice & Tone: Adjusts voice style to match your brand’s identity.
    
32. Hands-Free Operation: You can control the bot with only voice, without having to touch your device.
    
33. Compliance & Data Security: Most bots are built to be compatible with industry laws and regulations like GDPR and HIPAA.
    
34. Processing & Decision Making: Uses AI-driven logic for giving customers quick resolutions to their queries.
    
35. Real-Time Network & Threat Analysis: Monitors and prevents any unusual security threats or activities with its built-in encryption system.
    
36. Audio Capture & Speech Input: It can accurately process voice commands.
    
37. Voice-Based Shopping & Transactions: Supports processes like purchases, payments, and order tracking.
    
38. AI Voice Assistants in Healthcare: It simply acts as a front-desk assistant to schedule appointments, reminds on medication and assessments.
    
39. Automatic Speech Recognition (ASR): Accurately recognises the voice of a person and understands the context.
    
40. Multi-Device Compatibility: You can employ a voice agent on literally any device – IVR, smartphones, and smart speakers.

How Does An AI Voice Agent Work?

The working process of an AI Voice agent depends on a number of technologies. In this section, we’ll explore the step by step process of how these voicebots work and which technique/ protocol is used to establish a successful conversation. 

1. Capturing The User’s Voice (Speech Input & Signal Acquisition)

• Microphone Array and ADC:
  

When a user picks up a phone, opens your app and taps the voicebot icon, their device’s microphone starts prompting the user to speak. It starts recording the voice (which is an analog audio signal) and then converts into digital signal using an ADC (Analog-to-Digital Converter).

• Pre-processing:

Do you think the captured voice signals will be super-clear? No right? There are going to be a lot of background noise and reverberations that need to be eliminated so the command is clear for the bot. This is where the technology uses spectral subtraction or adaptive filtering to perform noise reduction, echo cancellation  and normalization. 

2. Converting Speech to Text (ASR – Automatic Speech Recognition)

• Understanding Sounds (Acoustic Modeling)
  

Since this is going to be a two-way conversation, the AI needs to understand the speech pattern of the user. For this, it uses Deep Neural Networks (DNNs) such as Convolutional Neural Networks (CNNs) or Recurrent Neural Networks (RNNs) to listen and analyse short frames of speech (about 25 milliseconds each). 

These networks extract acoustic features like Mel-frequency cepstral coefficients (MFCCs) or log-Mel filter banks to understand the sounds better. 

• Guessing the Right Words (Language Modeling)

Some sounds are really confusing. For example, a bot may confuse “there” for “their”. In these cases, the AI needs to decide on the exact word that makes sense in the sentence. 

For this it uses probabilistic models such as n-gram models or Transformer-based language models to compare the language rules and past conversations to predict the right words.

• Turning Sounds into Text (Decoding)

In the next step, the AI puts everything together using a technique like beam search to pick the most likely words that match what your users said. It typically creates a transcript so that it can arrange the content with the most probable phonemes to words that are spoken by the user. 

A few of the bots achieve language mappings and learn the acoustics accurately by using end-to-end models (like Listen, Attend, and Spell or Transformer-based models).

3. Natural Language Understanding (NLU)

• Intent Detection:

After decoding, the bot needs to understand what exactly your user wants. Are they for a query? Do they need the bot to perform any particular action or do they need to make a payment? To understand all these, the bot uses BERT or RoBERTa to categorize the intent of the user. I understand these details by analyzing the voice-to-text data and categorizing them as query, command or a transaction.

• Entity Recognition:

Now that the bot knows why the user is here, it needs further details to proceed the conversation further and serve the user better. It starts collecting information such as dates, locations, or product names, sequences them and maps them using Named Entity Recognition (NER) approaches like BiLSTM-CRF or transformer-based architectures.

• Semantic Parsing:

Now that the bot has all the details it needs from the user, it starts to relate each of these information to understand the context better. So, it starts analysing them by creating dependency trees and semantic graphs. 

4. Processing & Decision-Making

• Retrieval-Augmented Generation (RAG):
  At this point, your bot will understand why the user has started the conversation and what they need. Now is the time for response. There are 2 ways it can answer the user query:
• Retrieval Component: It can search the answer from a knowledge base you have uploaded or trained it with. 
• Generative Component: To come up with a good answer, it works kind of like how tools like GPT do. It looks at what the user asked and matches that with helpful information it finds using a search tool. Then, once it has what it needs, it puts together a clear and helpful response for the user.
  

5. How Responses Are Created

• Large Language Models (LLMs)

Big AI systems like GPT come up with replies based on huge amounts of text they’ve read during training. They use something called attention layers to figure out which parts of the conversation matter most, so their answers stay relevant and on point.

• Post-Processing

Before the final response reaches you, there’s usually a quick clean-up stage. The system checks to make sure everything sounds okay, that it’s appropriate, and that it actually makes sense.

6. From Text to Speech (TTS)

• Breaking Down Speech

To sound more natural when talking, TTS (Text to speech) systems first chop up the text into tiny sound pieces (called phonemes) and figure out the rhythm and pitch. That’s what helps it feel more like real, flowing speech instead of something robotic.

• How It All Comes Together

Some of the popular tools like Tacotron and Transformer TTS help figure out how the speech should actually sound. They consider timing, pacing, and transitions to keep everything smooth.

• Creating the Voice of the AI 

Once everything’s mapped out, tools like WaveNet or WaveGlow step in to generate the actual voice  and this is where the AI really starts to sound human.

Why Your Business Might Want an AI Voice Agent

Some people think AI voice tools are just out to replace real people. But that’s not really the case. At least not when they’re used right. In many everyday situations, they’re more like an extra pair of hands.

Here’s why bringing one into your business could be a smart call:

• Works Round the Clock

Humans need a break, sometimes. But your AI voice agents do not. They simply can work all the time. Whatever time it is, your customers will have assistance and continuous support. They need not stare blankly at the chats without responses, or listen to the boring IVR queue. Human touch is necessary. 

Still, it’s good to give your people a few hours of rest while you have your own AI voice calling app with bot-agents to take care of things in their absence.

• Fast and Helpful Responses

Since you’ll feed in all the relevant responses and data to your voicebot, it can be quick and accurate. At least for basic/ regular questions, you can confidently employ a bot while utilizing your human resources to complex issues. 

Your bot can do the pre-checks, appointment scheduling, order tracking, and basic troubleshooting before connecting to a human agent. This saves you a lot of time and resources. 

• Cuts Support Costs

You’ll need human agents in your team for efficiency. However hiring or training a staff for the basic support operations might cost you billions of dollars. 

Another point to consider is that a human can handle only one call at a time, while a bot can handle 100s of calls at the same time. This is why automating call handling saves you time and money for basic operations. 

• Scales Easily

To handle unlimited interactions and in multiple languages at the same time, you need an army of multi-lingual support staff. As your business expands, you’ll need to bring in more resources. That’s a lot of investment. 

On the other hand, if you need to pause the support operation for a time period, you’ll still have your resources, without having anything to work on. You can put them up in other departments. 

During such scaling operations, you can easily deploy an AI voice agent, without having to mess up with resource management. 

• Understands Customers Better

AI voice agents have a checklist of customer preferences, common complaints, and trends. They collect every detail, which sometimes would be missed in ‘human err’. They use almost all of them to understand the customer better and provide solutions accordingly. 

With these bots, there’s no room for errors or wrong judgement, it simply works on the fed-in algorithms. 

• Helps Everyone Communicate

AI-powered voice agents make customer service more inclusive for everyone. Even individuals with disabilities can get assistance with voice-based communication. These also allow hands-free interactions, which are helpful in situations like driving or gardening, where typing is not really convenient.

• Learns and Improves Over Time

A human agent has to understand the customer by reading their past call histories for at least a few minutes. Practically, the agent might not have a 100% understanding of the customer, as they had to do this simultaneously while speaking on the phone. 

Contrastingly, an AI voice assistant uses advanced technologies like retrieval-augmented generation (RAG) to understand context better and provide accurate answers. They can also integrate with external APIs, access real-time business data, and remember past interactions to make conversations more natural and personalized.

Which Businesses Use AI Voice Agents?

The short answer is – ALL. Yet here is a list of industries and the corresponding use cases where AI Voice Agents are used for daily business operations. Check out each one of them to understand which of these operations you can use the bots for your business.

Industry	AI Voice Agent Use Cases
Customer Service	Supports 24/7 Provides FAQs Schedules appointments Processes orders Manages accounts Handles refunds Troubleshoots issues Offers personalized recommendations Escalates to human agents
Interactive Voice Response (IVR) Systems	Automates call routing Enhances self-service support
E-commerce	Provides personalized product recommendations Enables voice-based shopping Tracks orders Processes payments Handles returns
Finance & Banking	Performs credit checks Processes loan applications Detects fraud Provides real-time assistance Handles balance inquiries Facilitates fund transfers Analyzes market trends
Healthcare	Schedules appointments Provides health information Sends medication reminders Monitors vitals Conducts triage Assesses symptoms
Telecommunications	Troubleshoots network issues Manages billing inquiries Activates services Upgrades plans
Internal Business Operations	Automates data entry Manages documents Handles HR queries Schedules tasks Automates workflows
Sales & Marketing	Generates leads Qualifies prospects Cross-sells products Upsells services Runs personalized marketing campaigns
Cybersecurity	Analyzes networks in real time Detects threats Responds to fraud automatically

If you are already here, this is a good sign you are committed to building your AI voice agent platform. The internet has ample information that might overwhelm you. 

But we’d like to make this easy for you by explaining the quick steps to build an AI voice platform. 

So this is how it goes:

• You’ll get a reliable solution to build voice AI agents
• Integrate it into your platform 
• Get your AI agent live! 

That’s simple, right?

Now, if you are uncertain about which provider to choose, here is our carefully curated list of solutions that will not disappoint you!

Ranked🥇: 2025’s Best AI Voice Agent Providers

The Top 05 AI Voice Aent Solutions are 1.MirrorFly, 2.Sendbird, 3.Botpress, 4.Salesforce, and 5.Twilio is based on features, trail, experience, customizable, reviews, etc.

1. MirrorFly

The 100% Customizable AI Voice Agent

MirrorFly is a highly secure communication solution that offers a voice SDK & API with AI capabilities to build custom AI voice agents for any size of business. The key reason why MirrorFly stands out from any other solution in the market is its reliability. 

With over 16+ years of experience in the field, MirrorFly understands developer needs more specifically, and has built its voice solutions. It gives you full data control and all the freedom to deploy your AI voice agency or platform on any server. 

Alongside its advanced voice communication capabilities, it also offers pre-built security encryptions with the leverage to add any layer of security and privacy standards as per your business requirements. 

Key Features Of MirrorFly AI Voice Agent:

• Real-Time Messaging & Voice
• WebRTC capabilities
• 1000+ features 
• Hire experts to develop your AI Voice Agent
• Topic-based Chat
• Video Conferencing
• Upload Huge Files
• Live Streaming
• Voice Broadcasting
• Geolocation Sharing
• Threaded Conversations
• Chatbot Integration
• Rich Media Support
• Message Reactions and Emojis
• Integration with Other Services
• Real-time Chat Translation

What is the cost of MirrorFly Voice Agent?

• Custom Pricing Model: 

MirrorFly is a solution that’s carefully built for Developers, considering the balance of both features and budget. It is available for a one-time license cost and the pricing depends on your usage volume, features you need, and size of business.

But, if you’d like to go with a monthly subscription, that’s available as well. The pricing starts from $0.002 (0.2 cents) per user per day.

Reasons to Choose MirrorFly:

• 100% customisation: Everything from features to workflow is customizable with MirrorFly. You can train your voice agent with AI capabilities just the way you want according to your business needs.
  
• Data ownership: Only you’ll have all the access to your data. Not even MirrorFly will be able to read the conversations or peek into your user information, although you build with it.
  
• Custom security: MirrorFly is closely the only provider that can customize the security encryptions and privacy layers. 

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2. Sendbird

Feature-rich AI Voice Agent

You need to try Sendbird if you are looking for an AI agent platform that’s both feature-rich and intuitive. Many customer service and e-commerce businesses already use this solution for their ability to extend beyond the basic integrations. You can develop an end-to-end AI agent for your business just exactly how you want it to be without any limitations. 

Key Features Of Sendbird AI Voice Agent:

• AI Agent Platform & Builder
• End-to-End Development
• Omni-Channel Support
  

What is the cost of Sendbird Voice Agent?

• Subscription-Based: The pricing of MirrorFly is generally based on usage. It has tiered plans based on the scale of deployment and list of features you need. If you have enterprise-level needs, you can get a custom quote from Sendbird Team.
  

Reasons to Choose Sendbird:

• Versatile Use Cases: Sendbird’s AI voice agent can be used in any type of use case such as customer support and e-commerce apps.
  

Robust AI Capabilities: The platform is well-known to deliver AI solutions with proven results.

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3. Botpress

The User-friendly AI Agent Provider

Botpress is known for its flexibility when building custom AI voice agents. You can integrate any number of third-party tools and launch your custom voice assistant platform quickly. Specifically, if you are a startup and small enterprise, Botpress offers free entry points so you can build your own solutions.

Key Features:

• Custom AI Voice Agents
• Modular Architecture
• Free Entry Point
  

Pricing:

• Freemium Model: Available as a free community edition for initial development.
  

Reasons to Choose:

• Flexibility and Control: This platform will be best for your platform if you want complete control over their AI voice agent’s functionality and behavior.
  

Cost-Effective: The free entry-level offering lets you experiment without a significant upfront investment.

---

4. Salesforce (Agentforce)

Highly secure solution for AI Voice Agent Integration

Salesforce’s Agentforce is a powerful tool for businesses looking to deploy AI-driven voice agents for automating their customer service operations. It enhances customer engagement with advanced features like real-time transcription, AI-driven insights, and multi-channel support.

Key Features:

• Agentforce Platform
• Real-Time Call Transcription
• Omni-Channel Routing
• Conversational Summaries & Next Best Actions
  

Pricing:

• Enterprise-Level Investment: Pricing of Agentforce is subscription-based and it can be customized for large organizations with complex customer service needs.
  

Reasons to Choose:

• Trusted Brand: Salesforce’s extensive experience in CRM and customer service makes it more reliable as an AI Voice Agent solution.
  
• Unified Customer Experience: Its multi-channel capabilities makes sure that customers receive consistent support whatever be the medium of communication.
  

Advanced AI Tools: The built-in AI features help manage all the AI voice support operations and take care of the overall quality of customer engagement.

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5. Twilio

Reliable AI agent solution provider

Twilio is a major player in the AI voice assistant market, providing programmable voice capabilities and easy integration with AI engines like as OpenAI, Google Dialogflow, and AWS Lex. Businesses can now construct intelligent, context-aware voice assistants utilising Twilio’s communication infrastructure.

Key Features:

• Programmable Voice APIs
• AI Integration
• Global Infrastructure
• Flexible Customization
  

Pricing:

• Pay-As-You-Go Model: Twilio’s pricing is usage-based, so you only pay for what you use. This concept is especially attractive for organisations that experience changing phone volumes.
  

Reasons to Choose:

• Developer-Friendly: Twilio is a favorite among developers for building custom communication solutions.
  

Flexible Integration: Ideal for enterprises that need a customisable approach to developing AI voice agents, particularly when combined with additional communication channels.

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Each provider has its unique strengths and pricing models, so the right choice depends on your organization’s specific needs, budget, and desired level of customization. 

Whether you’re a startup experimenting with AI voice agents or an enterprise looking to integrate comprehensive voice solutions into your customer service ecosystem, these platforms offer a wide range of features and flexibility to help you succeed.

Step-by-Step Guide To Build An AI Voice Agent (With MirrorFly)

We’ve reviewed the top 5 AI Voice Agent solution providers. In this section, I’ll explain how to build a complete AI Agent with MirrorFly.

For this, you’ll need to get ready with the following pre-requisites:

• Android Lollipop 5.0 (API Level 21) or above
• Java 7 or higher
• Gradle 4.1.0 or higher
• targetSdkVersion,compileSdk 34 or above

Step 1: Add MirrorFly Repository

Open Android Studio and either create a new project or open an existing one.

Depending on your Gradle version:

Gradle 6.8 or higher:

Add the following configuration to your settings. gradle file.

dependencyResolutionManagement {
   repositories {
       jcenter()
       maven {
           url "https://repo.mirrorfly.com/release"
       }
   }
}

Gradle 6.7 or lower:

Instead, place the configuration in your root build.gradle file.

dependencyResolutionManagement {
   repositories {
       jcenter()
       maven {
           url "https://repo.mirrorfly.com/release"
       }
   }
}

Step 2: Add Dependency

In your module-level build.gradle file (app/build.gradle), add the necessary dependencies under the dependencies block.

dependencies {
    implementation 'com.mirrorfly.sdk:mirrorflysdk:7.13.16'
 }

Step 3: Fix Jetifier

To prevent conflicts between imported libraries, add the following line to your gradle.properties file.

android.enableJetifier=true

Step 4: Add Runtime Permissions

Click here to give runtime permissions to your Mic and Internet. 

Step 5: Initialize SDK in Application Class

Before initializing the SDK, make sure the required prerequisites are in place.

In your Application class, override the onCreate() method and call the appropriate method from ChatManager to pass in the necessary configuration data.

ChatManager.initializeSDK("LICENSE_KEY", (isSuccess, throwable, data) -> {
            if(isSuccess){
                Log.d("TAG", "initializeSDK success ");
            }else{
                Log.d("TAG", "initializeSDK failed with reason "+data.get("message"));
            }
        });

Step 6: Register User

Use the method below to register a user in sandbox live mode, depending on the setIsTrialLicenceKey flag provided.

FlyCore.registerUser(USER_IDENTIFIER, (isSuccess, throwable, data ) -> {
        if(isSuccess) {
            Boolean isNewUser = (Boolean) data.get("is_new_user");  // true - if the current user is different from the previous session's logged-in user, false - if the same user is logging in again
            String userJid = (String) data.get("userJid"); //Ex. 12345678@xmpp-preprod-sandbox.mirrorfly.com (USER_IDENTIFIER+@+domain of the chat server)
            JSONObject responseObject = (JSONObject) data.get("data");
            String username = responseObject.getString("username");
        } else {
           // Register user failed print throwable to find the exception details.
        }
   });

Step 7: Setup Call Activity

Configure your activity in AndroidManifest.xml

Set with:

CallManager.setCallActivityClass(YourCallActivity.class);

Step 8: Build the AI Logic for the Voice Agent

To implement the core intelligence of your voice agent, follow these steps:

Speech-to-Text (STT)

• Use an STT engine like Google Speech API, Whisper, or Vosk.
• Capture the audio stream from MirrorFly’s real-time stream.
• Pass the audio buffer to your chosen STT engine.
• Transcribe the user’s speech input to text.

Natural Language Processing (NLP)

With the transcribed text in hand, process it using an NLP engine such as:

• OpenAI GPT
• Dialogflow
• Rasa
• Or your own custom intent handler

Parse the user’s intent and generate an appropriate textual response.

Text-to-Speech (TTS)

Convert the AI-generated response text back into speech using:

• Google Text-to-Speech
• Amazon Polly
• Microsoft Azure TTS

Play the generated audio using Android’s MediaPlayer or AudioTrack.

Step 9: Handling Call Lifecycle for the AI Voice Agent

• MirrorFly manages the call UI and session flow.
• You’ll need to hook your AI logic into the call lifecycle callbacks to ensure it activates and responds appropriately during the call.

Note: These are custom set up, you may need to contact MirrorFly Team to set this up tailored for your team. 

Step 10: Handle Call Events [Optional]

After setting the ChatConnectionListener, you’ll start receiving connection status updates through its callback methods.

Use these callbacks to monitor and handle changes in the chat connection state (e.g., connected, disconnected, reconnecting, etc.).

ChatManager.setConnectionListener(new ChatConnectionListener() {
   @Override
   public void onConnected() {
       // Write your success logic here to navigate Profile Page or
       // To Start your one-one chat with your friends
   }


   @Override
   public void onDisconnected() {
       // Connection disconnected
   }


   @Override
   public void onConnectionFailed(@NonNull FlyException e) {
       // Connection Not authorized or Unable to establish connection with server
   }


   @Override
   public void onReconnecting() {
       // Automatic reconnection enabled
   }
});

Getting Started With MirrorFly AI Voice Agent

Creating an AI voice assistant might sound complicated, but with MirrorFly, it’s actually a smooth and simple process that can be customized just for your business. Whether you want to improve customer service, make certain tasks automatic, or build smart voice features, MirrorFly gives you a platform that you can shape however you need.

You’ll have full control over your data, can set your own security rules, and choose where everything is hosted. It also works with standard calling systems like SIP and VoIP. On top of that, you can put your own branding on everything, get help from a dedicated development team, and even own the entire source code, giving you the freedom to create exactly what you want.

Want to build your own voice assistant? MirrorFly is ready to help. Contact our team today!

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