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Voice-based conversations have remained the most effective way for businesses to reach customers. From lead qualification to appointment setting, customer service, and feedback collection, voice communication builds trust, drives conversions, and fosters enduring business relationships. However, the handling of massive volumes while retaining the needed qualities, rapidness, and adherence has continued to be a problem for businesses.

What Is an AI Virtual Agent?

An AI Virtual Agent is an intelligent, voice-enabled system that can handle customer calls on its own. Apart from normal IVRs or rule-based bots, AI virtual agents understand intent and context, maybe even sentiment, and thereby respond naturally, asking follow-up questions and completing end-to-end tasks.

AI virtual agents can make outbound calls, receive inbound calls, qualify leads, book appointments, collect feedback, and even assist with sales without any human intervention. When designed correctly, they sound natural, respond dynamically, and continuously improve through learning from honest conversations.

In simple terms, an AI virtual agent is a digital voice representative trained to speak with customers like a skilled human agent. It combines:

  • Speech-to-Text (STT) to understand spoken language
  • Natural Language Understanding (NLU) to interpret intent
  • Dialogue Management to guide the conversation
  • Text-to-Speech (TTS) to respond naturally
  • Machine Learning to improve accuracy over time

SquadStack’s AI Virtual Agent is purpose-built for business-critical voice workflows, ensuring accuracy, scalability, and reliability across industries.

Features of AI Virtual Agent

Virtual Agents, Chatbots, and Virtual Assistants: Key Differences

While often used interchangeably, these tools serve different purposes:

  • Chatbots primarily operate on text channels, such as websites or messaging apps. They handle simple, scripted interactions.
  • Virtual Assistants (like Alexa or Siri) are consumer-focused and designed for personal productivity tasks.
  • AI Virtual Agents are enterprise-grade systems built to handle complex, real-world business conversations, especially on voice calls.

SquadStack’s AI Virtual Agent is optimized for high-stakes, high-volume voice interactions, where accuracy, compliance, and conversion rates matter most.

Feature/Aspect

AI Virtual Agent

Chatbots

Virtual Assistants

Primary Purpose

Handle end-to-end, business-critical conversations—especially voice calls—at scale

Answer basic queries or guide users through simple workflows

Assist individuals with personal tasks and daily productivity

Communication Channels

Voice calls (inbound & outbound), IVR replacement, in-app voice, call center workflows

Text-based channels like websites, WhatsApp, SMS, and live chat

Voice-enabled consumer devices (smartphones, smart speakers)

Conversation Complexity

High — can manage multi-step, contextual, and decision-driven conversations

Low to medium — mostly scripted or rule-based flows

Medium — optimised for commands rather than long business conversations

Natural Language Understanding (NLU)

Advanced NLU trained on honest human conversations and industry-specific data

Basic to moderate NLU, often intent-based

Strong NLU for general commands, but not business workflows

Human-Like Interaction

Designed to sound natural, empathetic, and conversational on phone calls

Limited—responses often feel robotic or predefined

Natural voice, but not intended for enterprise customer engagement

Task Completion Ability

Can complete complex tasks like lead qualification, appointment booking, onboarding, and sales

Limited to simple actions like FAQs, form filling, or ticket creation

Performs personal tasks like setting reminders or playing music

Learning & Improvement

Continuously improves using call analytics, QA insights, and machine learning

Minimal learning unless manually retrained

Learns user preferences but is not optimised for business KPIs

Human Agent Handoff

Seamless, real-time handoff with the whole conversation context

Often lacks smooth escalation to human agents

Not applicable for business handoffs

Scalability

Highly scalable—can handle thousands of concurrent voice conversations

Scales well for chat but is limited for voice-heavy operations

Scales for individual users, not enterprise operations

Industry Customization

Deep customization for BFSI, healthcare, real estate, logistics, education, etc

Generic use cases with limited industry depth

No industry-specific customization

Compliance & Security

Built for enterprise compliance, data privacy, and regulated industries

Basic compliance, depending on the platform

Consumer-grade privacy controls

Analytics & Reporting

Detailed call analytics, sentiment analysis, QA scoring, and performance insights

Basic metrics like response rate or resolution time

Minimal analytics focused on user behavior

Best Use Cases

Sales calls, customer support, appointment scheduling, feedback collection, and onboarding

Website support, FAQs, lead capture

Personal productivity and smart home control

Example

SquadStack’s AI Virtual Agent

Website FAQ chatbot

Google Assistant, Alexa, Siri

Chatbots and virtual assistants may be helpful for specific tasks, but AI virtual agents aim to enable high-impact voice conversations. Companies with products and services sourced via phone calls can benefit from AI-powered virtual agents such as the SquadStack Voicebot.

How SquadStack’s AI Virtual Agent Delivers Better Voice Interactions

Modern businesses don’t just need automation—they need reliable, human-like voice conversations that drive outcomes. SquadStack’s AI virtual agent is built to handle real-world sales and customer experience scenarios, not demo conversations. It combines advanced voice AI with deep workflow intelligence, analytics, and human oversight to deliver consistently better voice interactions at scale.

Trained on Real, High-Volume Voice Interactions

Unlike generic voice bots trained on scripted IVRs or public datasets, SquadStack’s AI virtual agent is trained on millions of real sales and support calls across BFSI, e-commerce, healthcare, education, logistics, and marketplaces. This ensures it understands authentic accents, speech patterns, objections, and buying signals—leading to more natural and effective conversations.

This real-world training enables the AI virtual agent to:

As a result, conversations feel natural and human-like—leading to higher connectivity, better engagement, and improved conversion rates even at very high call volumes.

Seamless Human Handoff for Complex Conversations

When conversations become too complex or sensitive, SquadStack’s AI Virtual Agent can seamlessly transfer the call to a trained human agent—along with full context and conversation history,ensuring a smooth customer experience.

Not every conversation should be fully automated—and SquadStack’s AI virtual agent is designed with this reality in mind. When a call requires deeper persuasion, sensitive handling, or exception management, the AI virtual agent:

  • Instantly identifies complexity or high intent
  • Transfers the call to a trained human agent in real time
  • Passes full conversation context, CRM data, and intent signals

This AI + human orchestration ensures zero customer frustration, no repetition, and no revenue leakage—making automation safe for high-stakes business workflows.

Built-In Analytics, Quality Checking, and Continuous Learning

Every interaction handled by SquadStack’s AI virtual agent is automatically analyzed across multiple dimensions, including:

  • Call quality and script adherence
  • Customer sentiment and intent
  • Drop-off points and objections
  • Conversion and outcome mapping

The platform uses dual-layer quality assurance (AI + human review) to improve conversation flows continuously. Insights from real calls feed directly into training, scripts, and workflows—allowing the AI virtual agent to improve every week, not remain static like traditional bots.

Industry-Specific Customization

SquadStack does not offer one-size-fits-all automation. Each AI virtual agent is custom-built for the industry and use case. SquadStack customizes AI Virtual Agents for specific industries, including BFSI, real estate, healthcare, logistics, education, and e-commerce—ensuring compliance, domain accuracy, and higher conversion rates.

Industry customization includes:

  • Domain-specific language, terminology, and objections
  • Tailored workflows for BFSI, healthcare, education, logistics, automotive, and marketplaces
  • CRM-aware personalization using lead, product, and customer data

This deep customization enables the AI virtual agent to behave like a trained industry expert, not a generic voice bot.

Compliance, Security, and Data Privacy

For enterprises, compliance and data security are non-negotiable. SquadStack’s AI virtual agent is built with enterprise-grade governance and security from day one, including call recording governance, consent handling, and secure data storage—making it suitable for regulated industries.

Key compliance capabilities include:

  • ISO 27001 & SOC 2 Type II certifications
  • India data residency with encrypted storage
  • Role-based access controls and audit trails
  • PII redaction in call recordings and transcripts
  • Regulatory-ready workflows for BFSI and regulated industries

This makes SquadStack’s AI virtual agent safe to deploy across highly regulated, large-scale environments.

SquadStack's AI Virtual Agent

Real-World AI Virtual Agent Use Cases with SquadStack Voicebot

Across industries and customer touchpoints, SquadStack’s AI virtual agent is deployed to solve real, high-impact business challenges that demand scale, speed, and consistency. Unlike generic voice bots limited to basic scripts and interactions, SquadStack Voicebot caters to the entire customer lifecycle, from initial interaction and lead generation to enrollment and servicing, and subsequent feedback collection.

The solution is known to process over a million inbound and outbound conversations per month. It is programmed to ensure fully human-like conversations by understanding global customers’ intentions and preferences and tailoring responses at different stages of interaction.

Whether it is enhancing disbursement of loans for the BFSI business vertical, generating appointments for the health-tech business vertical, on-boarding new vendors for marketplace business verticals, and gathering customer feedback about a business vertical, the AI voice agent is programmed to ensure the delivery of measurable outcomes such as increased connectivity, accelerated turn-around times, increased conversion achievement, and reduced operating costs via the AI virtual assistant solution.

SquadStack's Use Cases

For Appointment Booking and Service Scheduling

The AI virtual agent from SquadStack is widely used to automate appointments, confirmations, reminders, and rebookings, particularly in healthcare, automotive, and service-oriented sectors, since no-shows affect their bottom line. The AI virtual agent is also adept at handling large volumes of calls, confirming availability, and following up on follow-up activities.

The AI virtual agent handles:

  • Appointment booking, confirmations, and rescheduling
  • Automated reminders to reduce no-shows
  • Service follow-ups and slot optimization

This ensures faster turnaround times, better resource utilization, and a seamless customer experience—without manual calling teams.

Example from SquadStack:

Medfin used SquadStack’s AI-led voice workflows to securely and reliably scale appointment bookings. The AI virtual agent achieved 85% connectivity and drove a 25% increase in appointments booked, while maintaining compliance and quality at scale. This allowed Medfin to manage patient outreach efficiently without overloading human teams.

For Loan, Credit Card, and Financial Product Sales

In BFSI use cases, SquadStack’s AI virtual agent:

  • Qualifies leads based on eligibility and intent
  • Explains product benefits clearly and compliantly
  • Handles common objections and FAQs
  • Routes high-intent customers to human closers

This significantly improves lead conversion, CAC efficiency, and sales team productivity.

Qualify leads, explain product offerings, handle objections, and route high-intent customers to human closers—boosting sales efficiency in BFSI campaigns.

Examples from SquadStack:

  • A leading brokerage platform used SquadStack’s AI virtual agent to re-engage dropped leads, resulting in 3× higher conversion rates and 3.2× lower average handling time than human-only calling.

  • Kissht leveraged AI-driven calling and analytics to scale lending operations, achieving an 82% increase in loan disbursals, 86% connectivity, and a 50% reduction in CAC.

These outcomes highlight how an AI virtual agent can directly impact revenue, not just automate calls.

For Seller, Partner, and Workforce Onboarding

For marketplaces and logistics platforms, the AI virtual agent automates:

  • Seller and partner onboarding calls
  • Workforce hiring and verification workflows
  • Training reminders and activation nudges

This enables businesses to scale onboarding operations without increasing operational overhead.

Examples from SquadStack:

  • Shiprocket deployed AI-driven voice outreach for seller onboarding and engagement, achieving a 4× increase in outreach scale, 5× higher seller identification accuracy, and 5× growth in first-time recharge rates.
  • Delhivery used SquadStack’s AI-led hiring and onboarding workflows to reduce rider hiring costs by 70%, with an average handle time of just 53 seconds per call.

For Customer Feedback and Voice Surveys

Traditional IVRs struggle with engagement. SquadStack’s AI virtual agent conducts natural, conversational voice surveys to collect:

The result is higher response rates, better insights, and faster feedback loops.

Examples from SquadStack:

  • RedBus used SquadStack’s AI-powered feedback operations to scale surveys efficiently, achieving a 75% survey completion rate, a 15% successful completion rate, and a 50% reduction in survey costs.
  • Udaan collected vendor feedback at scale using AI-led outreach, completing 56K+ calls with 77% connectivity and 36% successful surveys, unlocking actionable CX insights.

For Regional Language and Tier 2–3 Market Outreach

SquadStack’s AI virtual agent is built for India-first scale, supporting:

This unlocks growth in regions where traditional automation and chatbots fail to perform.

Example from SquadStack:

STAGE, a regional content platform, used SquadStack’s AI virtual agent to handle customer support queries in local languages across Bharat. The result was a 50% reduction in resolution time, 70% lower support costs, and a 55% containment rate, with most queries resolved entirely by AI.

For Peak Traffic and High-Volume Campaigns

During festive seasons, product launches, or extensive marketing campaigns, the AI virtual agent can:

  • Handle sudden spikes in call volumes
  • Maintain consistent quality and response times
  • Scale instantly without hiring or training delays

This makes it ideal for high-growth, high-variability business environments.

Examples from SquadStack:

  • Aakash BYJU’s reached 15 lakh leads in just one week, achieving 77% connectivity and rescheduling 35% of tests during peak admission periods.
  • Classplus booked 46K+ demos with 87% connectivity using AI-led lead qualification and fast outreach—helping sales teams focus only on high-intent prospects.

These real-world deployments demonstrate how SquadStack’s AI virtual agent goes beyond basic automation—delivering measurable business outcomes across sales, onboarding, support, and feedback at enterprise scale.

SquadStack In-App AI Voice Assistant for Websites and Apps

Beyond phone calls, SquadStack also offers an in-app AI voice assistant that can be embedded directly into websites and mobile applications.

The in-app AI virtual agent helps:

  • Guide users through complex forms and onboarding flows
  • Resolve queries instantly without navigating FAQs
  • Reduce drop-offs caused by confusion or form fatigue
  • Drive conversions at critical decision points

By bringing voice assistance into digital experiences, SquadStack enables businesses to combine conversational AI with real-time user intent, creating smoother, more intuitive journeys.

Conclusion: Get Started with an AI Virtual Agent for Smarter Voice Calls

AI Virtual Agents are redefining how businesses expand their voice conversations—making them faster, more innovative, and more economical. The AI-powered Virtual Agent Solution of SquadStack can automate calls to thousands of customers every single day and deliver quality to their business.

Whether you want to minimize operation costs, maximize conversions, and ensure seamless voice experiences, SquadStack’s AI Virtual Agent is the future-ready solution for your business.

FAQ's

What is an AI virtual agent?

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An AI virtual agent is an intelligent voice-based system that can autonomously conduct phone conversations, understand customer intent, and complete tasks without human intervention.

How is an AI virtual agent different from a chatbot?

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Chatbots primarily handle text-based interactions, while AI virtual agents are designed for voice conversations, offering more natural, real-time engagement over phone calls.

Can AI virtual agents handle customer phone calls?

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Yes, AI virtual agents can handle inbound and outbound phone calls, manage conversations end-to-end, and transfer to human agents when needed.

What are the benefits of using an AI virtual agent for businesses?

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Key benefits include lower operational costs, 24/7 availability, faster response times, consistent quality, scalability, and improved conversion rates.

Is an AI virtual agent suitable for small and large businesses?

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Absolutely. AI virtual agents scale based on demand, making them suitable for startups, mid-sized businesses, and large enterprises alike.

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