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Zoom Virtual Agent

Score8.8 out of 10

7 Reviews and Ratings

What is Zoom Virtual Agent?

An AI chatbot which is ready 24/7 to provide quick, personalized help and boost team productivity. The AI chatbot with machine learning guides users to accurate answers fast, reducing the burden on customer service and support teams.

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Media

Screenshot of the Zoom Virtual Agent intelligent conversational AI chatbot that instantly resolves issues.
Screenshot of a personalized experience, delivered by the virtual agent.
Screenshot of the virtual agent's customer resolution.
Screenshot of chatbot performance analytics.

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Screenshot of the Zoom Virtual Agent intelligent conversational AI chatbot that instantly resolves issues.

Early days with Zoom Virtual Agent are promising.

Use Cases and Deployment Scope

Our teams just started using Zoom Virtual Agent, so this is a very early review - I will update as we continue to use the product. We chose a virtual agent because we already use many other Zoom products, including Meetings, Webinars, and AI Companion. Our company is expanding into the Customer Experience space and is testing a few vendors to see what works best.

Pros

  • We have found that Zoom's Virtual Agent does a really great job at the customer experience and support front of the house.
  • It integrates perfectly with our other Zoom products.
  • The AI features are top-notch.

Cons

  • There's a lot of competition in the CX space right now, but I think Zoom has a good deal going on, with all their other products under the same roof.
  • Some of the reporting could use some improvement, but it's still early days.

Return on Investment

  • Happier end customers that are able to be served faster.
  • Serving customers faster.
  • Aggregated data collection and reports.

Usability

Alternatives Considered

NiCE CXone

Other Software Used

Zoom Workplace, Zoom AI Companion, Microsoft 365

Strong competitor in a crowded space

Use Cases and Deployment Scope

ZVA serves as a customer-facing chatbot on our support website, developer documentation, and within our customer LMS. It leverages both knowledge articles and custom designed workflows to provide self-service information and guidance to our customers, dramatically reducing the number of support cases created with our team. In 2024, ZVA powered 150k+ sessions with a 70% self-service rate.

Pros

  • Generative AI answers from existing documentation
  • Providing tools for admins to discover and easily create new intents and workflows
  • Customizing the experience by campaign, chatbot, workflow, etc. to facilitate curated experiences for customers

Cons

  • Add more native components for integrating with data sources such as a CRM
  • Methodology for session counts: avoid double counting a session if a user is handed-off between bots.
  • Admin UI: there can be a lot of clicks to navigate to the correct area of the dashboard to manage settings

Return on Investment

  • 70% self-service for managed interactions
  • Estimated $3 million in headcount costs saved
  • Admin tools have reduced administrative costs by 50%

Usability

Alternatives Considered

Enterprise Bot Conversational AI Bots (AIDA & AIVA) and Salesforce Einstein Bots

Other Software Used

Salesforce Service Cloud, Talkdesk, Slack

Zoom Virtual Agent is a game changer!

Use Cases and Deployment Scope

We have multiple self-serve tools available for our clients, but many have not been utilized effectively. We needed to redirect our clients to the tools that would provide timely answers 24/7. Additionally, filtrate and redirect inquiries that don't pertain to our product—offering the ability to locate the correct support team contact information.

Pros

  • Redirect inquiries to utilize the self-serve tools available
  • Provide 24/7 support
  • Allows you to visualize the type of inquiries received to add more Content available for self help

Cons

  • More reporting capabilities - customized for each business
  • Coaching based on specific personas/Knowledge Bases

Return on Investment

  • Reduction on the cases received on the desk

Usability