March 31, 2026
Your support team is likely answering the same five questions every day: ‘Where is my order?’, ‘How do I reset my password?’, or ‘What are your hours?’ When your skilled employees spend hours on repetitive tasks, they burn out, and your customers are left waiting in long queues.
A customer who has to wait ten minutes for a chat response is a customer who is already looking at your competitor. However, it’s not that easy for businesses to scale their support during peak hours and hire a massive and expensive team.
This is where a virtual agent software steps in. It keeps you in your budget and helps resolve customer queries without getting tired.
This blog post is going to discuss in detail everything about virtual agent software, its definition, how it works, and some top virtual agent tools.
Let’s get in.
While a standard chatbot usually follows a very rigid script, a virtual agent uses Conversational AI.
This means it can actually understand what a human is saying, even if they don’t use the exact keywords. It uses Natural Language Processing (NLP) to figure out the intent behind a question.
For example, if a customer asks, ‘Where is my order?’ or ‘Can I get a tracking update?’, a virtual agent knows they both mean the same thing. It doesn’t just give a pre-defined response; it can actually hook into your system, find the order, and give a real-time answer. It never gets tired and can talk to thousands of people at once.
| Feature | Traditional Chatbots | Virtual Agents |
|---|---|---|
| Technology Used | Rule-based scripts | Conversational AI with NLP |
| Understanding Ability | Recognizes specific keywords only | Understands user intent and context |
| Response Type | Pre-defined responses | Dynamic and personalized responses |
| Flexibility | Limited, breaks outside script | Highly flexible and adaptive |
| Task Capability | Provides information only | Can perform actions (refunds, updates, etc.) |
| Integration | Minimal or no system integration | Integrates with CRM, databases, and tools |
| Best Use Case | Simple FAQs and repetitive queries | Complex queries and personalized support |

Here are the three major steps explaining the working of a virtual agent software:
If you are wondering if it’s worth the investment, the numbers speak for themselves. The market is exploding because these tools actually work.
According to recent industry reports, the global AI agents market is projected to reach over $180 billion by 2033, with a massive growth jump starting right now in 2026.
Here is why businesses are adopting virtual agent software:
These are the 5 tools that are leading the pack this year.
Zoom isn’t just for video calls anymore. Their virtual agent is built to be super easy to set up, especially if you’re already using Zoom for your phone or contact center. It feels very natural and is great for businesses that want something that works across web, mobile, and even voice.
Zoom Virtual Agent
Starting Price
Price on Request
Key Features:
If you are an enterprise-level company and you already use ServiceNow for your IT or HR, this virtual agent software is for you. It’s built to handle complex internal workflows, like helping employees with payroll questions or IT tickets.
ServiceNow
Starting Price
Price on Request
Key Features:
Kustomer is unique because it treats every customer like a person with a history, not just a ticket number. Their virtual agents are very focused on the customer journey. If you want your bot to know exactly what a customer bought last week and why they might be stressed today, Kustomer is a great choice.
Kustomer
Starting Price
$ 89.00
Key Features:
Microsoft recently rebranded this as part of Copilot Studio. This is probably the most powerful virtual agent software for people who love the Microsoft ecosystem. It’s very much a low-code tool. You can build very complex bots by just dragging and dropping or even just describing what you want in plain English.
Key Features:
Cisco’s Webex has really stepped up its game. Their virtual agent solution is all about top-level service. It’s designed to be extremely responsive and focuses heavily on making the interaction feel authentic.
Key Features:
Picking a tool isn’t just about the features; it’s about what fits your daily life. Here are a few things I think you should keep in mind:
Does it integrate with your current tools?
If you use Zendesk, don’t buy a virtual agent that only works with Salesforce. Make sure the integrations are there. Most of the tools above are great at this, but always double-check.
Is it Human enough?
We have all dealt with those annoying bots that just keep saying I didn’t get that. You want a tool that uses LLMs (Large Language Models). It makes the virtual agent much better at understanding mistakes or slang.
Can it grow with you?
You might only want a bot for your website today, but next year you might want it on your phone lines or WhatsApp. Choose a platform that offers omnichannel support so you don’t have to start over later.
We are moving toward a world where the line between AI and Human support gets very blurry. In the next year or two, expect these agents to get even better at proactive support. Instead of waiting for a customer to complain that their package is late, the virtual agent might message them first with a solution.
Reports show that North America currently holds the largest share, nearly 40% of the AI agent market. This is because US businesses are leading the way in adopting this tech to stay competitive.
Wrapping Up
Virtual agent software is now becoming a basic requirement to stay competitive. Whether you go with something user-friendly like Zoom, an enterprise solution like ServiceNow, or a custom-build in Microsoft Copilot Studio, the goal is the same: faster help for customers and less stress for your team.
Start small, pick one or two common problems, like tracking orders, and let your virtual agent handle those first. You’ll be surprised how much time it clears up on your calendar!
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