If you walk around any big contact centre in India, you’ll see agents juggling too many channels, tougher queries, and increasingly complex customer journeys. Customer expectations and technology have evolved, just not together.

The discussion about artificial intelligence (AI) and human agents is more present than ever within India’s contact centres. The question isn’t if AI is going to replace humans, but how to equip agents with the tools needed to meet the complex, rising expectations of today’s customer.

 

India’s Customer Expectations Have Changed Faster Than Support Operations

Beyond making payments faster, Unified Payments Interface (UPI) reset what consumers consider acceptable waiting time across every digital interaction they have. For customers who are charged for a transaction in two minutes, and food getting delivered in ten, waiting on hold for fifteen minutes at a call centre does a lot of damage.

This frustration compounds when they’re forced to repeat their issue across channels, or worse, reach out multiple times for a resolution. Starting from scratch for every interaction isn’t a minor inconvenience for many customers, it’s the moment they decide to take their business elsewhere.

That gap between what Digital India has trained people to expect and what support operations can actually deliver is getting wider. Customers transition between WhatsApp, chat, email and phone without thinking twice. They have a problem they want it fixed, regardless of where they started the conversation.

However, most contact centres still operate in isolated silos, structured around specific communication channels, individual teams, and separate technology platforms. In addition, agent evaluations are still calibrated for simple phone calls, even though the average customer reaches out to customer service via three separate channels.

The Modern Contact Centre Agent Is Handling More Complexity Than Ever

Automation is an integral part of contact centres. From order tracking and balance inquiries to basic FAQs, bots and IVR handle many routine activities. In many ways, this has made agents’ lives easier. But more and more often, agents are left to handle more nuanced or sensitive interactions, such as   unresolved complaints, irritated repeat callers or complex billing disputes.

Often, they’re expected to simultaneously juggle several chat windows, chase down open email threads, work through knowledge bases that haven’t been refreshed in months, and record notes across siloed systems. Most training programs were designed for predictable, repetitive calls, not for the messy, high-context problems agents deal with now. The outcome is higher burnout, constant attrition and increasing day-to-day operational inefficiency.

What Contact Centres Need To Improve Productivity

To cater to the UPI-minded Indian customer, modern contact centres need capabilities that function together, including:

  • AI and automation tools: AI tools, such as agentic virtual agents, are capable of managing complex customer experiences, driving proactive and genuinely personalized interactions. AI tools can handle routine work, too, including summarizing calls, logging follow-ups and pulling the right information mid-conversation without the agent having to hunt for it, reducing resolution times up to 30%.
  • Modern contact centre software: Agents working with legacy infrastructure often spend several hours each day copying information from one system into another. This creates friction not just for the agent, but also for the customer they are trying to help. A modern contact centre platform unifies communications across channels, supporting business growth, stronger customer loyalty and better employee productivity.
  • Workforce Engagement Management: Agents need practical tools and training to improve service quality. Workforce engagement management covers quality oversight and compliance, coaching, and skill development. When done effectively, it can improve CX operational efficiency and overall business outcomes through more capable agent performance, stronger retention, and higher customer satisfaction.
  • CX orchestration: Cloud-based customer experience or CX orchestration connects every aspect of the customer’s history across channels and interactions. It equips agent with past interaction context before the customer says a single word. Powering omnichannel engagements, intelligent routing and end-to-end journey management, it enables agents to deliver connected, meaningful experiences to every customer across every interaction every time.

The Future Contact Centre Must Be Built Around Coordination

Customer expectations have advanced while many legacy contact centre infrastructures have stood still. The contact centres that succeed at meeting modern customer expectations will be the ones who shift from thinking about issue resolution to journey coordination. Human agents aren’t going anywhere. But their role is almost unrecognizable from what it was five years ago, and the contact centres that provide connected tools and data will be best positioned to adapt faster, scale more efficiently and deliver better customer experiences.

FAQs

Will AI replace contact centre agents in India?

No. Bots handle mundane and repetitive volume contact centre tasks such as call logging and agent scheduling, but complex, judgment-driven customer interactions still need skilled humans. AI can handle many contact centre tasks, including call logging and agent scheduling. But some interactions, especially those that require empathetic or nuanced support, still need skilled humans.

Why is agent burnout rising in Indian contact centres?

Today’s agent is expected to navigate harder queries and more channels using legacy tools that were never updated to reflect the new reality.

What does CX orchestration mean in practice?

CX orchestration is the process of coordinating customer experiences across channels, teams, and systems to deliver seamless, personalized, and actionable interactions in real time. CX orchestration ensures customer context travels across every channel automatically, so agents know the full story before they even say hello.