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Imagine a customer looking for a loan calling your contact center. They’re eager to discuss rates and options, but your agents are busy with other calls. Frustrated, the customer hangs up and moves to a competitor, taking their business. Now, enter your AI-powered voice bot agent. When the customer calls, the bot steps in with a warm, natural greeting. It asks about the customer's loan preferences, provides tailored information about interest rates and repayment options, and even pre-qualifies the customer on the spot. It seamlessly schedules a callback with a human agent if further assistance is required, ensuring a smooth handoff.

Voice bots are revolutionizing contact centers across industries like real estate, banking, and customer support industries. These conversational AI-based Voice bot solutions enhance telecalling campaigns by increasing efficiency and reducing costs by up to 50%. Unlike human agents, voice bots don’t experience fatigue, allowing them to handle high call volumes and maintain consistent performance.

By automating repetitive tasks in contact centers, voice bots free human agents to focus on complex, value-driven interactions, increasing productivity and customer satisfaction. An automated debt collection Voice bot accelerates cash collection while minimizing the need for manual follow-ups.

The Humanoid Voice Bot by SquadStack supports communication in 8+ languages, enabling businesses to connect with a diverse customer base effortlessly. This multilingual capability ensures personalized and culturally relevant interactions, making it ideal for industries like BFSI, real estate, and consumer goods. Whether handling cross-selling, presales, sales, or customer support calls, the bot delivers consistent, high-quality experiences while breaking language barriers and driving customer engagement.

Also Check: How to train Voice Bot?

What is a Voicebot Solution?

Voice bot solutions are AI-powered systems designed to interact with users through voice-based communication. Traditional chatbots rely on text inputs, whereas voice bots use speech-to-text (STT) and text-to-speech (TTS) technologies to enable real-time, conversational interactions with customers in call centers.

These systems are often integrated with advanced NLP models to understand context, intent, and sentiment, allowing for human-like dialogue. Voice bot solutions are revolutionizing the way businesses interact with customers. They are trained on thousands of use case interactions to ensure that every conversation feels authentic.

As technology evolves, voice bots in call centers have become more refined, to cater to diverse industries and drive innovation. With unmatched scalability, they effortlessly handle surges in call volume and adapt to varying demands, ensuring consistent, high-quality service whether managing 100 or 100,000 calls daily.

Also Check: Top Conversational AI Solutions in 2025

Key Features of SquadStack's Humanoid Agent

Technology/ Software Behind Building and Deploying GenAI Chat and Voice Agents

Building and deploying generative AI chat and voice agents requires the integration of various technologies and frameworks. From Natural Language Processing (NLP) and Machine Learning to Speech-to-Text and Text-to-Speech systems, robust data infrastructure, API and platform integrations, and advanced capabilities every component plays a crucial role.

Additionally, ethical considerations, bias mitigation, and continuous monitoring and optimization are essential to ensure fairness and efficiency. These AI-driven systems represent innovation, enabling businesses to enhance operational efficiency and deliver exceptional user experiences by leveraging the right tools and methodologies.

Steps to Build and Deploy Generative AI Agents

Creating a voice bot or a generative AI agent tailored to specific use cases and requirements is not easy. However, by following the steps shared below and selecting the appropriate model, you can successfully deploy generative AI voice bots.

Step 1: Choose the Right Model

Select a generative AI model based on your requirements or use cases:

  • For text-based-only interactions: GPT, T5, or LLaMA.
  • For multilingual capabilities: BLOOM or M2M-100.
  • For specialized tasks: Fine-tuned versions of base models.

Step 2: Fine-tune the Model as Per Requirements

Fine-tuning involves training the model on domain-specific data and using cases to improve accuracy and relevance. For example:

  • Customer support voice-based agents can be fine-tuned on human agents' past support tickets.
  • Sales agents can be trained in successful sales conversations with human agents.

Step 3: Build Conversational Flows

Design interaction flows to guide users effectively:

  • Use state machines or dialogue trees for structured interactions.
  • Implement fallback mechanisms for ambiguous queries.

Step 4: Integrate with External Systems

Connect the agent to essential systems like CRMs, knowledge bases, and analytics platforms to enrich interactions.Step 5: Enable Voice CapabilitiesIntegrate ASR and TTS components for voice agents to handle spoken queries and generate lifelike responses.Step 6: Test and IterateThoroughly test the agent across various scenarios:

  • Conduct user testing for feedback.
  • Use A/B testing to evaluate different approaches.

Step 7: Deploy and Monitor

Deploy the AI-based voice agent using scalable infrastructure and monitor its performance using analytics tools:

  • Use Kubernetes or Docker for containerized deployments.
  • Leverage logging and monitoring tools like Prometheus and Grafana.

Also Cheack: AI Voice Bot For Contact Centers

Suqdatsck Humanoid AI Agent can reduce Costs up to 60%

How AI Voice Bots are Transforming Customer Support Experiences?

According to a report by The Business Research Company, the conversational AI market has experienced exponential growth in recent years. This market serves a wide range of industries, including Healthcare and Life Sciences, Travel and Hospitality, Telecom, Media and Entertainment, BFSI, and Retail and E-commerce.

Conversational AI Voice solutions are categorized as Intelligent Virtual Assistants (IVA), such as Voice-Activated Assistants, Personal Assistants, Enterprise Virtual Assistants, Rule-Based Chatbots, AI-Powered Chatbots, and Hybrid Chatbots. The market is projected to grow from $11.28 billion in 2024 to $13.64 billion in 2025, reflecting a robust compound annual growth rate (CAGR) of 20.9%.

how ai based voice bot work
How AI Based Voice Bot Work?

AI voice bots are transforming customer support by offering faster, more efficient, and highly personalized service. By automating routine tasks, providing 24/7 availability, and delivering actionable insights, these bots enhance customer satisfaction while reducing operational costs. Despite challenges like setup costs and accuracy limitations, the future of AI voice bots is bright, with innovations poised to make them even more intelligent, empathetic, and versatile.

Enhanced Customer Experience

  • 24/7 Availability: AI voice bots ensure round-the-clock support, enabling customers to get assistance anytime, anywhere.
  • Personalization: By analyzing customer data, bots provide tailored solutions and recommendations.
  • Multilingual Support: Advanced bots can communicate in multiple languages, making them suitable for global audiences.
  • Empathetic Interactions: Modern voice bots can detect emotions in a customer’s tone and respond with empathy, creating a human-like experience.

Operational Efficiency

  • Scalability: Unlike human agents, AI voice bots can handle thousands of interactions simultaneously, ensuring no customer is left waiting.
  • Consistency: Bots deliver uniform quality in responses, eliminating variability caused by human factors like fatigue or mood.
  • Speed: Routine queries, such as password resets or account inquiries, are resolved in seconds, reducing average handling time (AHT).

Cost Savings

  • Reduced Staffing Costs: Automating repetitive tasks allows businesses to optimize their workforce and reduce operational costs.
  • Lower Training Costs: Unlike human agents, AI bots do not require extensive training or onboarding.

Actionable Insights

  • Data Collection: Bots collect valuable data during interactions, offering insights into customer preferences, pain points, and behavior.
  • Performance Analytics: Businesses can track metrics like customer satisfaction (CSAT), resolution rates, and call volumes in real-time.

Also Check: Conversational AI vs Generative AI

cta voice bot technoloy

Essential Features Every AI Voice Bot Should Have In 2025

The rapid evolution of conversational artificial intelligence (AI) has significantly transformed the customer experience landscape. In 2025, AI-based voice bots are no longer just tools for automating interactions, they play a crucial role in enhancing customer engagement, reducing operational costs, and creating new revenue opportunities. To remain competitive and relevant, here are 10 essential features every AI voice bot must possess:

1. Advanced Natural Language Processing (NLP)

AI voice bots need to understand and respond to human conversations with high precision. Advanced NLP enables bots to grasp nuances, detect emotions, and interpret colloquialisms, regional dialects, and mixed languages seamlessly. This ensures human-like interactions that improve customer satisfaction.

2. Multilingual Support

With globalization and diverse customer bases, an AI voice bot must support multiple languages. In 2025, this feature will extend to real-time language translation and the ability to understand regional accents, ensuring inclusivity and accessibility across geographies.

3. Contextual Awareness and Memory

A voice bot’s ability to remember past interactions and understand the context is crucial for personalized and efficient conversations. Customers expect continuity, whether they’re following up on an issue or engaging in repeat transactions.

4. Emotional Intelligence

An AI voice bot must recognize customer emotions such as frustration or satisfaction and adapt its responses accordingly. Emotional intelligence ensures empathetic and appropriate communication, creating a positive customer experience.

Evolution of Contact Centers
Evolution of Contact Centers by SquadStack

5. Scalability and High Call Volume Handling

To cater to fluctuating demands, voice bots should be able to handle thousands of simultaneous interactions without performance drops. Scalability ensures businesses can meet peak-hour demands without compromising quality.

7. Real-Time Analytics and Insights

AI voice bots must provide real-time data on customer interactions, such as sentiment analysis, response effectiveness, and call outcomes. These insights empower businesses to make informed decisions and optimize their operations.

8. Omnichannel Capability

In 2025, customers interact across multiple phone, chat, email, and social media channels. A robust AI voice bot must provide a unified experience by seamlessly transitioning and syncing conversations across these channels.

Also Check: Best Voice Bot Solution Provider in India

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How AI-Powered Agents are Revolutionizing Call Centers?

AI-powered voice agents transform key business operations such as Sales, Support, and Collections by automating critical tasks like lead engagement, customer service, and payment reminders. Beyond automation, these agents enhance customer interactions, improve operational efficiency, and deliver actionable insights. Here's a closer look at how conversational AI agents elevate the customer experience across various domains:

Category

Key Benefits

Description

Sales

Increased Sales Opportunities

AI agents engage in persuasive, human-like conversations to identify and convert leads, boosting revenue generation.

24/7 Availability

AI agents operate round-the-clock, ensuring no missed opportunities regardless of time zones or working hours.

Personalized Sales Pitches

AI uses customer data to tailor conversations, improving engagement and closing rates.

Support

Enhanced Customer Experience

AI agents provide quick, accurate, and consistent answers to customer queries, reducing wait times.

Multilingual Support

AI agents communicate seamlessly in multiple languages, catering to diverse customer bases.

Real-Time Escalation

AI identifies complex queries and escalates them to human agents with full context, improving resolution speed.

Collections

Improved Debt Recovery Rates

AI agents effectively remind and follow up on payments while maintaining a professional and empathetic tone.

Scalability for High Call Volumes

AI handles thousands of debt recovery calls simultaneously without compromising quality.

Customized Payment Plans

AI suggests tailored payment plans for debtors, increasing recovery chances while maintaining goodwill.

Onboarding

Streamlined Processes

AI-powered agents guide customers through onboarding steps, ensuring accuracy and reducing drop-offs.

Faster Verification

AI agents verify customer credentials quickly, accelerating the onboarding process.

Retention

Proactive Retention Strategies

AI analyzes customer behavior to predict churn and initiates conversations to retain high-value customers.

Loyalty Program Assistance

AI agents recommend loyalty program benefits and upgrades based on customer preferences.

Feedback

Actionable Insights from Feedback Collection

AI agents gather structured feedback during calls, providing businesses with data for product/service improvement.

Sentiment Analysis

AI interprets customer sentiment during interactions, offering insights into satisfaction levels.

Operations

Reduced Operational Costs

AI minimizes the need for human agents, reducing staffing costs by up to 60% while maintaining high efficiency.

Zero Error in Data Entry

AI eliminates errors in data collection and entry, ensuring accurate records for business analysis.

Upselling/Cross-Selling

Increased Revenue Per Customer

AI identifies opportunities to upsell or cross-sell products/services by analyzing customer preferences and needs.

Quality Assurance

Consistent Call Monitoring

AI agents ensure every interaction meets compliance and quality standards, reducing legal risks and errors.

Training

Reduced Training Time

AI assists in training new human agents by simulating real-life scenarios and providing feedback.

Surveys

Improved Survey Completion Rates

AI conducts surveys in an engaging, conversational manner, increasing completion rates and data quality.

voice bot software conversation

Selecting the Right AI Voice Agent Solution Platform

Traditional systems relying on human agents alone are now giving way to intelligent, AI-driven Voice software platforms that promise to improve customer interactions. From improving operational efficiency to enhancing customer experience, Conversational Artificial Intelligence Software has become crucial in call centers.

However, with numerous Voice AI platform options available in the market, how do businesses select the right Call Center AI software? Below, we check nine key criteria that can guide organizations in making the best choice for their needs.

Customization and Flexibility

Every business is unique, and so are its requirements. Opt for AI software that tailors workflows, dialogue flows, and integrations to align with your business processes. Flexible solutions enable you to fine-tune the AI system for different industries, use cases, and customer demographics, ensuring a personalized and practical approach.

Integration with Existing Systems

Most businesses already have some form of CRM, ERP, or contact center infrastructure in place. The ideal AI software should integrate seamlessly with these existing systems to avoid data silos and enhance operational efficiency. Integration ensures a smooth transition, allowing the AI to leverage historical customer data and provide more accurate, context-aware responses.

Real-time Analytics and Reporting

Actionable insights are essential for improving customer service strategies. Look for software with advanced analytics and reporting capabilities that provide real-time data on call performance, customer sentiment, and resolution rates. These insights help businesses identify trends, optimize processes, and measure the effectiveness of their customer engagement strategies.

Automation of Repetitive Tasks

AI-powered automation can handle mundane, repetitive tasks such as answering FAQs, scheduling callbacks, or updating customer records. This frees up human agents to focus on more complex, value-driven interactions. By reducing the manual workload, automation also minimizes errors and accelerates service delivery.

Intelligent Routing

Efficient call routing ensures that customer queries are directed to the right agent or department. AI software with intelligent routing capabilities uses customer data, interaction history, and sentiment analysis to match callers with the most suitable agents. This improves first-call resolution rates and overall customer satisfaction.

Compliance and Data Security

Call centers often handle sensitive customer data, making compliance and security non-negotiable. Ensure the software meets industry standards and regulations such as GDPR, HIPAA, or PCI DSS. Features like data encryption, access control, and audit trails are critical for protecting customer information and maintaining trust.

Continuous Learning and Improvement

AI technology evolves rapidly, and so should your chosen software. Systems with machine learning capabilities can improve over time by analyzing past interactions and adapting to new customer needs. Continuous learning ensures the software remains relevant and effective in addressing evolving business challenges.

Cost-effectiveness

While AI solutions offer significant benefits, they should also be cost-effective. Evaluate the total cost of ownership, including licensing fees, setup costs, and maintenance expenses. Compare these costs against the potential ROI in terms of operational savings, enhanced customer satisfaction, and revenue generation.

Vendor Support and Training

Adopting AI technology can be complex, especially for teams unfamiliar with it. Choose a vendor that provides comprehensive support, including onboarding, training, and ongoing assistance. Reliable support ensures a smoother implementation process and helps your team maximize the software’s potential.

Also Check: Conversational AI Lead Scoring

How Does SquadStack’s Humanoid AI Agent Work?

SquadStack is an AI-powered, tech-first platform for managing telesales and customer support outsourcing. It enhances customer experience. It has processed lakhs of calls to develop its AI-based voice agent, the Humanoid Agent.

SquadStack’s AI-powered voice agent transforms telesales with human-like conversations that feel natural and engaging. It has mastered tone modulation, pacing, and strategic silence to deliver highly personalized customer interactions that build trust and drive conversions. More than just understanding, it actively engages, persuades, and sells, making every call more effective than ever.

AI That Connects, Learns, and Drives Results

Feature

Description

Contextual Awareness It uses past human interactions to build context, enabling personalized and empathetic conversations with customers.
Industry Expertise Tailored to your industry with vertical-specific data, understanding nuanced terminology and common challenges.
Continuous Learning Analyzes successful interactions to continuously improve, incorporating rapport-building and active listening skills.
Sales Mastery Utilizes advanced sales techniques to guide customers, fostering trust through genuine connections and rapport building.


Why SquadStack’s AI Agent Leads the Way?

This advanced voice AI Agent not only reduces operational costs by up to 60% but also enhances customer experience by providing human-like conversations that build trust and rapport. Trained on vertical-specific data, the Humanoid Agent seamlessly integrates into existing systems, analyzes customer interactions to provide actionable insights, and identifies opportunities for upselling and cross-selling. It is particularly beneficial for industries with high call volumes, such as BFSI, consumer goods, technology, telecom, and media.

Feature

Description

24/7 Availability

Operates round-the-clock to deliver consistent service quality.

Multilingual Support

Communicates in 135+ languages, including nuanced industry-specific terms.

Intelligent Dialogue

Engages in human-like, empathetic conversations with contextual awareness.

Continuous Learning

Improves through analysis of successful interactions, adapting to new strategies.

Insightful Analytics

Provides actionable data to refine business strategies and customer experience.

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FAQ's

How to create human like voice from machine or bot?

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At SquadStack, creating human-like voices involves using advanced neural Text-to-Speech (TTS) models that mimic natural speech patterns, including tone, pitch, and pace. These models are trained on large datasets, capturing diverse accents, languages, and conversational nuances to make interactions feel authentic. Additionally, we fine-tune the voice for specific use cases, ensuring contextual relevance and emotional resonance.

How to create human like voice from machine or bot?

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To develop a voice chatbot, start by defining its purpose (e.g., customer support or sales) and target audience. Use a technology stack that includes Speech-to-Text (e.g., Google Cloud or Amazon Transcribe) for converting speech into text, Natural Language Processing (e.g., Dialogflow or GPT-based models) for understanding user intent, and Text-to-Speech (e.g., Amazon Polly or Google TTS) for generating natural responses. Integrate these components with a conversational AI platform, train the model with domain-specific data, and optimize for real-time performance and accuracy

How are Voice Bots better than Text Bots?

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Voice bots offer significant advantages over text bots by enabling faster, more natural communication. They allow users to convey information more quickly through speech and create a more personal, human-like experience, which increases engagement. Additionally, voice bots are highly accessible for people with limited literacy, visual impairments, or those who are multitasking, ensuring inclusivity. They can handle multiple languages and accents, making them versatile across different regions. Voice bots also excel in contextual understanding, using tone and intent to offer more empathetic responses, leading to better customer satisfaction.

What is Voice Bot Solution and Software?

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A Voice Bot Solution is an AI-powered system that allows businesses or services to automate voice-based interactions with users. These bots are designed to understand spoken language (via Speech-to-Text technology), process it using Natural Language Processing (NLP), and respond using Text-to-Speech (TTS) technology to generate human-like audio responses.

Which are top Voice Bot Software in market?

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Popular Voice Bot Software includes tools like: SquadStack's Humanoid Agent, Google Dialogflow (for NLP and Voice Integration) Amazon Lex (for building conversational interfaces) Microsoft Azure Bot Services IBM Watson Assistant Rasa (an open-source platform)

The Search of AI-Based Voice Bot Solution Ends Here

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