The BPO sector is facing a significant change, and AI is one of the main reasons. In the past, BPOs relied heavily on large teams of human agents to perform repetitive, routine tasks. But as we move through 2025, AI-based Voice Agents have evolved as a powerful tool that enables faster, more innovative, and more cost-efficient operations for BPO companies. From AI-powered voice bots managing customer service calls to intelligent agents qualifying leads automatically, AI is fundamentally changing how outsourcing functions at every level.
Recent research underscores just how widespread AI agents have become in the BPO industry. The Global AI in BPO Market is projected to reach a substantial value of USD 49.6 billion by 2033, a significant leap from USD 2.6 billion in 2023. This impressive growth represents a Compound Annual Growth Rate (CAGR) of 34.3% throughout the forecast period from 2024 to 2033. (Market)
In this article, we’ll understand how AI Agents in BPO are transforming business process outsourcing, from automating workflows to elevating customer experiences.

Page Overview
Here’s a short Page Overview of how AI is transforming the BPO Industry in 2025:
- What is AI for BPO? Key Features and Benefits
- Find Real-world use cases in inbound/outbound support, sales outreach, data processing, and compliance monitoring.
- How the SquadStack AI Agent plays a vital role in replacing legacy systems
- Find Future trends: agentic AI systems, multilingual AI at scale, voice AI dominance, predictive workflows, and zero-touch onboarding.
What is AI For the BPO Industry?
AI (Artificial Intelligence) for the BPO industry refers to the use of intelligent technologies like chatbots, voice AI agents, predictive analytics, robotic process automation (RPA), and machine learning to improve outsourcing services.
AI-based systems can automate repetitive and rule-based workflows like data entry, lead qualification, and email response handling. More advanced applications include voice-based customer support agents that can engage in real-time, human-like conversation, or fraud detection engines that analyse transaction patterns in milliseconds.
Unlike Robotic Process Automation (RPA), which is limited to rule-based tasks, AI in BPO goes further by understanding context and making decisions in uncertain environments. For example, a traditional BPO agent had a fixed script. Still, an AI-powered voice bot is better because it can adjust its tone, language, and responses dynamically based on a caller’s mood, history, or intent.
Some of the most common use cases of AI in BPO include:
- Conversational AI, voice bots, and chatbots handle inbound/outbound calls and chats.
- Process Automation AI systems that automate form processing, document classification, and backend workflows.
- Sentiment Analysis AI tools that detect customer emotions in real-time to assist agents.
- Predictive Routing: Direct calls or tickets to the best-suited agents based on behaviour patterns.

Top Benefits of Using AI-Based Voice Agents For the BPO Industry
AI offers significant benefits for BPO companies. It handles routine work, so teams can concentrate on bigger goals and help the business grow faster. That's why it's an essential part of BPO services today. Below are some benefits listed for BPO:
24/7 Availability and Faster Response Times
AI systems like voice bots can handle customer queries, support tickets, and sales calls 24/7. According to a 2024 report, businesses that have implemented AI in their BPO have seen a reduction of 40% in response time and a 25% growth in customer satisfaction scores.
Significant Cost Reduction
In conventional BPO models, labour makes up significant overall costs. But with AI stepping in to handle repetitive, rule-based tasks, companies no longer need to depend on large teams for routine work. While AI doesn’t eliminate the need for human talent, it does take over low-value tasks, allowing skilled employees to focus on strategic and customer-centric work instead.
Higher Accuracy and Fewer Errors
Manual processes in BPO are prone to human error, especially during data entry, claims processing, and ticket routing. AI systems excel at performing repetitive, rule-based tasks with nearly 100% accuracy, minimising costly mistakes. For instance, SquadStack’s AI Agent can process thousands of customer interactions daily with consistent logic and language, something even the most experienced agent can struggle to maintain at scale.
Scalability Without Complexity
Whether your BPO handles 500 or 50,000 customer interactions daily, AI tools can easily scale up whenever needed, without hiring more staff or adding extra systems. Solutions like SquadStack AI Agent are built on the cloud, so you can quickly adjust to busy seasons or sudden spikes in demand without stressing over staff burnout, training time, or employee turnover.
Improved Customer Experience
These days, customers expect more than just basic support; they want a personalised experience. AI helps BPOs make that happen by tailoring replies, suggesting what to do next, and even guessing what a customer might need based on past conversations. According to Salesforce’s 2024 State of Service Report, 71% expect this personal touch. With AI, delivering on those expectations through voice and chat is easy.
Smarter Decision-Making Through Data
AI isn’t only about automating work; it also helps you understand it better. With AI analytics and machine learning, BPOs can spot patterns, predict future demand, and improve agents' performance. For example, tools can detect when a conversation is going in a bad direction, allowing supervisors to step in before it becomes a bigger issue.

Top AI Use Cases in Modern BPOs
AI is not just an idea for the future; it’s already transforming BPOs across customer service, back-office tasks, and sales as time passes. AI agents are helping BPOs make their operations fast, flexible, and affordable. Here are some ways AI is used in BPOs:
Inbound and Outbound Customer Support
Traditional call centres rely on human operators to handle every call. But AI, intelligent voice bots can take care of thousands of calls, both incoming and outgoing, at the same time. These bots can:
- Answer routine questions
- Collect customer information
- Route calls based on the customer’s mood or request
- Follow a script while still sounding natural and human-like
A 2025 IBM study found that companies using AI voice assistants for customer support achieved a 31% drop in average handling time (AHT) and a 22% increase in first-call resolution (FCR).
Lead Qualification and Sales Outreach
AI agents like SquadStack’s AI Agent can run automated outbound campaigns, call leads, ask qualifying questions, capture intent, and schedule follow-ups for human reps. This ensures your sales team only talks to warm, verified prospects.
"Our AI Agent qualifies over 100,000 leads daily across BFSI and real estate verticals, cutting human dialling effort by 80%."
Data Entry & Document Processing
Tasks include processing refund or return claims, generating tax invoices, and extracting data. AI simplifies all of this using technologies like Optical Character Recognition (OCR) and Natural Language Processing (NLP)
- Scan and handle thousands of documents in just minutes
- Automatically pull out key information from forms filled by users, or just by entering the email or mobile phone number
- Fill in databases with high accuracy and minimal human input
This has cut processing time by up to 70% in major outsourcing hubs, according to Deloitte’s 2025 Intelligent Automation Brief.
Fraud Detection & Compliance Monitoring
In sectors such as finance and insurance, AI can detect and analyse fraud patterns and ensure all communications comply with regulations. For example:
- AI can scan 100% of customer interactions for keywords or tone shifts for a better customer experience
- Predict and prevent security breaches before they happen or escalate
This use case is especially valuable in voice-based BPOs, where real-time transcription and auditing are crucial.
Multilingual Customer Interactions
AI tools speak many languages, like English, Hindi, Tamil, and local regional languages. This means one bot can communicate with people in different languages, eliminating the need for companies to hire separate teams for each language. This is especially helpful for businesses in India and Southeast Asia, where many languages are spoken.
Training and Performance Monitoring
AI can analyse agent calls and chats to provide instant feedback, scoring, and coaching. This eliminates the need for manual QA audits and accelerates agent ramp-up time. Some systems even auto-suggest better responses during live calls.
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How is SquadStack AI Voice Agent Making BPO Automation?
Many BPO companies still rely on simple tools that lack flexibility and are not very helpful as the industry becomes more digital. These old tools are incompatible with other systems and fail to provide useful information. SquadStack AI Agent is different. It’s not just another basic tool; it’s a complete solution designed to automate and solve the real problems BPOs face today.
Built for Scale, Speed, and Smart Conversations
Unlike traditional IVRs or basic chatbots, SquadStack’s AI Agent combines Conversational AI, Natural Language Processing (NLP), and voice intelligence to conduct intelligent interactions across voice and text channels. It can simultaneously engage thousands of leads or customers, qualify prospects, handle objections, collect structured data, and hand over hot leads to your sales or support teams without any manual intervention.
What makes it especially effective in BPO environments:
- Multilingual Voice Support: Operates natively in English, Hindi, and other regional languages.
- Intent Recognition: Understands and adapts to user inputs dynamically.\
- CRM & Workflow Integration: Seamlessly connects to tools like Salesforce, Zoho, or your in-house stack.
- Real-Time Analytics: Every interaction is logged, transcribed, and analysed for quality, compliance, and sentiment.
Replacing Legacy Systems with Real-Time Intelligence
Traditional BPO systems rely on static scripts, large QA teams, and manual audits. SquadStack AI Agent flips that model by using AI to optimise every step of the interaction lifecycle:
- Call outcomes are auto-tagged.
- Objections are categorised and flagged for training loops.
- Escalations are routed intelligently, based on tone, not just content.
This approach helps agents do their jobs better and speeds up feedback, from taking weeks to just seconds. For example, one client in the banking and finance sector used SquadStack’s AI Agent to grow from managing 10,000 to over 100,000 calls each month, all without needing to hire any new agents.

The Future of BPO with AI
The future of BPO with AI will have rapid growth, which will focus on intelligent and autonomous systems, and here are the new versions to look out for in 2025:
Agentic AI Systems
AI in BPO is moving beyond just automating individual tasks. In the future, advanced AI agents can plan, make decisions, and handle whole processes from beginning to end. These intelligent agents will manage customer experiences across different channels, raise issues to humans only when needed, and even make real-time campaign changes. This allows businesses to work smarter and respond quickly to changing needs.
Multilingual AI at Scale
Real-time translation and multilingual voice AI will become normal as companies expand into global markets. Companies will use bots that can easily converse in more than 20 languages, including regional and local dialects, making customer interactions much smoother and more inclusive.
Voice AI Dominance
While chatbots have been popular, voice AI is set to take the lead. Voice bots provide a more natural, human-like interaction, which is especially important in regions like India and Southeast Asia, where talking is the preferred way to communicate.
Predictive & Sentiment-Driven Workflows
AI will not only respond to events but also predict them. It will foresee customer churn, help prioritise leads based on mood and attitude, and embed predictive analytics into every part of BPO operations.
Zero-Touch Onboarding & Deployment
Modern AI tools will offer zero-code, self-service onboarding so BPOs can launch new campaigns in days rather than months. Platforms like SquadStack are already moving in this direction.
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Final Thoughts: Time to Upgrade Your BPO with AI
AI is not an ordinary tool; it is changing and reshaping the future and how the BPO industry works. AI makes customer service smoother, cuts costs, and helps companies work more efficiently. Businesses that still rely on manual work or outdated automation are starting to lag. With customers now expecting faster help and support in different languages, it’s the perfect time to switch to AI. That’s where SquadStack’s AI Agent helps. It’s made just for BPO companies and is designed to make life easier for your teams.
Whether automating voice and chat, syncing with your CRM, or qualifying leads in real time, it does the heavy lifting so your team can focus on what matters. It also supports multiple languages, meets compliance standards, and gives live analytics to keep things on track. No matter your size, whether you’re just starting or running a full-scale call centre, SquadStack helps you grow without cutting corners.

Commonly Asked Questions
How can I replace BPO with AI callers?
You can replace BPOs with AI callers by utilising advanced voice AI systems that can handle customer calls just like a human agent. These AI callers can answer questions, collect information, follow scripts, and even understand different languages. They work 24/7 without breaks, reducing costs and improving speed.
What is the role of AI in BPO?
AI in BPO helps automate and speed up tasks like answering customer queries, processing data, and handling repetitive calls or chats. It can understand customer needs, give quick and accurate responses, and work across multiple channels like phone, email, and chat. AI also analyses large amounts of data to find patterns, improve service quality, and reduce costs.
What are the best AI Voice tools for BPO operations?
AI voice tools in BPO help automate calls, improve efficiency, and cut operational costs. SquadStack Humanoid AI delivers human-like, multilingual conversations that boost sales and reduce costs. Osno.ai offers fast, low-latency voice agents with CRM integrations and real-time analytics for lead qualification.
What are the top benefits of implementing AI in BPO?
AI in BPO cuts costs by automating manual work, improving data accuracy, and delivering faster customer responses. It scales easily to handle changing workloads, predicts resource needs, reduces training time, and gives managers real-time performance insights. AI also keeps service quality consistent, lowers risk, and frees agents to focus on tasks that need human empathy.
Which platform is best for AI-powered BPO services?
The best platform for AI-powered BPO services depends on your needs. SquadStack is great for human-like sales and support voice agents with multilingual capabilities. Osno.ai offers fast, low-latency voice bots with CRM integrations and analytics for lead engagement. Synthflow, powered by Genesys Cloud AI and Google Dialogflow CX, excels in omnichannel and complex workflows. Together, these platforms help BPOs cut costs, scale faster, and deliver superior customer experiences.