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How Virtual Agents Increase Workforce Productivity and Help Save Money

March 11, 2024

virtual agents

Virtual agents transform the way businesses interact with customers and employees. Using natural language processing (NLP) to understand and respond to questions, they simulate human conversations and improve with every encounter. It makes your business available around the clock. 

These tools understand open-ended user inputs and the intent behind them. Many use optical character recognition, speech-to-text, and sentiment analysis to better interact with users. 

Organizations turn to virtual agents or intelligent virtual assistants (IVAs) for help with sales, HR, and IT, as well. 

Are virtual agents and virtual assistants the same?

There’s a lot of ambiguity with terms like virtual agents, virtual assistants, intelligent virtual agents, and chatbots. Chatbots are like a catch-all term for all programs that try to imitate us through voice or text.

Chatbots that operate with vocal prompts are interactive voice response (IVR) systems. IVRs help businesses handle customer calls at scale with features like call routing and queuing. Some chatbots and IVRs operate to collect basic information and provide set answers. Not all of them offer true virtual agent functionalities. 

Virtual agents or IVAs are more sophisticated than chatbots. IVAs combine capabilities of conversational AI and robotic process automation (RPA) to understand context from user input. They improve continuously to do both better. In an enterprise setting, virtual agents commonly turn to tools that automate user actions. These can include tasks like getting a refund or updating details. 

Virtual assistants generally refer to human beings who assist remotely. When virtual assistant software gained popularity, professionals started using this term and “virtual agents” interchangeably. Now, virtual assistants have become an umbrella term for virtual products, including Apple’s Siri and Amazon's Alexa. 

Benefits of virtual agents

Virtual agents do many things to make your life easier, especially when you need information or help with simple tasks. There are a few features that make virtual agents special. 

  • Human-like interactions: Virtual agents use NLP, which means they can understand and respond to you just like a person would. Your customers can ask them questions or the agents chat back.
  • Availability: Your company may not have a team that works in all time zones, but virtual agents are available 24/7. Being a global company, virtual agents help you support customers when they need you the most. 
  • Continuous improvement: The more a virtual agent chats with humans, the smarter it gets. Agents learn from each contact and improve at their job over time.
  • Multimedia support: Virtual agents can understand visuals so your clients can show them images as a part of their interactions. 
  • Sentiment analysis: Virtual agents can tell if you're happy, sad, or frustrated. They use this info to respond to match the caller’s mood.
  • Increased productivity: IVAs let human customer service people focus on complex issues. But when customers have a tricky problem, a human with more experience is there to jump in.

Challenges virtual agents face

Even though virtual agents are super helpful, they do face some challenges. 

  • Understanding complex questions: As the queries get more complex, virtual agents may be unable to address them appropriately. In these situations, agents route users to an FAQ article or connect them with a human professional. 
  • Handling emotions: While they can guess if you're happy or sad, virtual agents aren't great at understanding deeper emotions or providing the support a human could in sensitive times.
  • Learning from mistakes: They learn over time, but it can take a while for virtual agents to improve from their interactions. Most importantly, if users don’t supply feedback, IVAs are prone to repeat the same mistakes. 
  • Speaking naturally: Even though virtual agents are getting better at chatting, they still sound robotic or unnatural in some situations. 
  • Culture differences: Virtual agents work across many languages and cultures. It's hard for them to understand idioms, slang, or cultural references. This can lead to misunderstanding. 

Virtual agent use cases

Virtual agents make interactions smoother and more efficient across various sectors. Below are some common use cases that benefit from IVAs. 

Customer service

Customer service is the most common use case. Companies deploy virtual agents to handle customer inquiries and IVAs instantly respond to common questions, freeing up hours for human support agents. 

Organizations reduce 30% of expenses by using virtual agents for customer support. \

Healthcare

Virtual agents are revolutionizing patient care and support. They assist in scheduling appointments, provide reminders, and offer basic medical advice. During pandemic events like COVID-19, virtual agents handle inquiries and inform patients about symptoms and preventive healthcare guidelines. Organizations using virtual agents reported 64% resolution without any human intervention. 

E-commerce and other sectors

E-commerce and retail agents improve the shopping experience with personalized recommendations and support. They help customers find products, track orders, and manage returns to make shopping as easy as possible. 

Below are various other sectors where businesses use virtual agents. 

  • Banking and finance: IVAs handle transactions and offer financial suggestions. 
  • Education: Provides information on events, courses, and application procedures. They can take up queries in real-time for students relying on remote learning. 
  •  IT support: Virtual agents resolve technical issues, help troubleshoot problems, and manage service requests. The assistance allows IT professionals to focus on other tasks. 

The top 5 intelligent virtual assistants software tools

Intelligent virtual assistant software lets businesses talk to their customers in a way that feels like chatting with a human. Unlike regular chatbots, IVAs understand context and intent, and can figure out relevant answers using NLP. With more interactions, they get smarter and more accurate.

To qualify for inclusion in the intelligent virtual assistant software list, a product must: 

  • Use NLP or speech recognition to figure out what someone is asking in a conversation
  • Let people change the way conversations flow
  • Offer methods of looking at conversation details through dashboards or reports
  • Send chats to a real person if needed
  • Include a way for a real person to check and ensure the virtual assistant's answers are right

* Below are the leading intelligent virtual assistant software from G2’s Winter 2024 Grid® Report. Some reviews may have been edited for clarity. 

1. Kore.ai

Kore.ai helps businesses automate interactions with their customers, employees, and other stakeholders. It understands and responds to questions in a natural tone, making it easier for people to get the information they need or complete tasks without going through complicated menus or speaking to a human agent. 

What users like best:

“The drag-and-drop interface proved exceptionally intuitive, allowing for a quick learning curve. Creating dialogue flows and defining actions was straightforward, and the visual representation made it easy to grasp the logic behind each interaction.”

- Kore.ai Review, Yogesh J. 

What users dislike:

“I need a little more clarity on the training and the inference section.”

- Kore.ai Review, Jasseem Mohammed S. 

2. IBM Watsonx Assistant

IBM Watsonx Assistant creates conversational interfaces for apps, websites, and other digital channels. The assistant integrates with various business systems and data sources to gather relevant information during conversations.

What users like best:

“The best thing about IBM Watsonx Assistant is that the model trains on more than 10 million interactions, which has given it the capability to replicate near-human interaction. This has led to a return on investment (ROI) in six months.”

- IBM Watsonx Assistant Review, Rajat P.

What users dislike:

“There is scope for improvement in terms of the user guide. They could elaborate on the steps mentioned. Apart from that it is quite good and user-friendly. Hoping for a better user guide.”

- IBM Watsonx Assistant Review, Ragh A.

3. Microsoft Power Virtual Agents

Microsoft Power Virtual Agents work with non-coders to create and use powerful chatbots. Users design conversational experiences that handle a wide range of customer requests, from answering FAQs to guiding users through complex processes. 

What users like best:

“If you’re looking for a tool to create a custom AI chatbot, I highly recommend checking out Microsoft Power Virtual Agents. What I love about this tool is that you can create chatbots without any coding experience. The setup process is incredibly user-friendly. You simply create your chatbot topic, set up questions and answers, and publish. 

The best thing is that you can test your bot in real time in the same window. Microsoft Power Virtual Agents is a great choice to enhance your customer support and engagement. Test it out – you'll find it as beneficial as I have.” 

- Microsoft Power Virtual Agents, Furquan R. 

What users dislike:

“Very limited features, Limited integration The manual task to input data and no option for bulk entities update.” 

- Microsoft Power Virtual Agents, Mayur S. 

4. Moveworks

Moveworks automates IT support issue resolution for companies. It uses artificial intelligence to understand and instantly solve employee problems without human intervention. 

When employees face IT issues, they can simply communicate with the Moveworks chatbot through natural language and the software accurately interprets the problem, whether it's a request for a password reset, software installation, or access to certain company resources. 

What users like best:

“The best part of the experience with Moveworks is working with their Customer Success team. They do what it takes to ensure success.”

- Moveworks Review, Kevin S.

What users dislike:

“If you already have a good way of deploying software, password changes, or locked accounts, you will not get the product's full value. It takes a lot of fine-tuning and work to ensure it presents the correct Knowledge Base articles.”

- Moveworks Review, Mark W.

5. Espressive, Inc.

Espressive, Inc. automatically responds to employee questions and issues, from HR inquiries to IT support. It makes it easier for staff to find quick solutions. 

Employees simply interact with Barista, Espressive's virtual assistant, using natural language through various channels like chat or email. Barista understands these requests and answers or resolves the issues directly. 

What users like best:

“Ease of rollout and integration into our business operations, the robustness of the solution to be adapted to our many communications channels to match the diverse workstyles of our global employee base, the richness of the developer/integration capabilities that go beyond a simple Q&A chatbot solution.” 

- Espressive, Inc. Review, Dave M.

What users dislike:

“Some users may find a learning curve involved in fully understanding and utilizing all the features and functionalities of Espressive's solution. However, this is a common aspect when adopting new technologies and can be mitigated through proper training and support.”

- Espressive, Inc. Review, Verified User in Information Technology and Services

Click to chat with G2's Monty-AI

Interact at scale

Virtual agents answer questions from customers and employees without the need for humans. Unlike us, they never tire from assisting clients when they most require guidance. Maybe it’s time for your company to move forward with IVAs to help your team out with repetitive tasks, work more profitably, and deliver a superior user experience. 

Learn more about intelligent virtual assistants and how it simulates human-like conversations. 


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