7 Best AI Virtual Assistant Examples in 2026

AI virtual assistants are becoming a practical part of daily business operations. They can respond to customer messages, help teams draft content, and take repetitive tasks off employees’ plates. That added support gives businesses more time to focus on meaningful customer interactions and strategic work.

With so many tools out there, how do you know which is best for your contact center? This guide explores the top seven AI virtual assistants and their characteristics to help you decide.

Quick Comparison of the Best AI Virtual Assistants

What Does a Virtual Assistant AI Do?

A virtual assistant AI is software that uses artificial intelligence to understand requests, complete tasks, and provide information through voice or text. In a business setting, it can schedule calendar invites, answer chat messages, pull customer records from a CRM, and generate meeting summaries after a call.

AI virtual assistants differ from basic consumer voice assistants, such as Siri and Alexa, because they are built around company workflows. They can access approved business systems, follow support processes, and help customers or employees move through routine requests with less manual effort. The result is a more efficient way to manage common conversations and administrative work while keeping your team focused on tasks that require human judgment.

Virtual Assistant AI Examples for Customer Service and Contact Centers

Customer service AI assistants help contact centers manage high volumes of conversations across chat and voice. They can answer routine questions, direct customers to the right resource, and reduce the number of tickets that require a live agent. During more complex interactions, these tools can also support agents with real-time guidance, customer context, and automated notes.

1. Xima AI Messaging Bot

Xima AI Messaging Bot acts as an automated front-line assistant for contact centers. It manages customer conversations through web chat and SMS, helping teams provide timely responses without adding to an agent’s queue.

Standout features:

• Uses private company PDFs, knowledge bases, and web URLs to answer routine questions without pulling information from outside web sources.
• Connects with CRMs to look up account statuses, check order numbers, and verify customer records.
• Transfers conversations to a live agent with the full chat history and customer context when human support is needed.

Best for: Contact centers and customer service teams that need to deflect high-volume routine questions across digital channels.

2. RingCX AI

RingCX AI is an operational assistant within RingCentral’s omnichannel contact center platform. It helps support teams capture key details during interactions and reduce the administrative work that follows each conversation.

Standout features:

• Transcribes inbound phone calls into readable text in real time.
• Surfaces suggested responses for support agents during live customer chats.
• Creates post-call summaries and identifies conversation sentiment to reduce manual wrap-up work.

Best for: High-volume customer support operations managing large queues of phone calls and digital tickets.

3. Dialpad AI

Dialpad AI serves as an on-call copilot for sales and support representatives during live phone conversations. It listens for important details, then delivers helpful information while the call is still in progress.

Standout features:

• Uses live speech recognition to detect relevant keywords and caller questions.
• Triggers AI Agent Assist screen pop-ups with step-by-step troubleshooting guidance for representatives.
• Creates call summaries and action items, then logs details in Salesforce or HubSpot after the call.

Best for: Sales teams and technical support agents who need instant, on-screen answers during live calls.

AI Voice Bot Examples for Contact Centers

AI voice bots answer inbound calls through natural, LLM-based conversations instead of rigid IVR menus. They can resolve routine questions, collect caller details, and transfer callers to a live agent when an issue requires more help.

4. Xima AI Voice Bot

Xima AI Voice Bot is Xima’s newest AI capability. It answers inbound calls around the clock within the Xima contact center platform, eliminating the need to manage a separate third-party bot tool.

Standout features:

• Answers caller questions using uploaded FAQs, policies, and documentation. When the bot does not have an answer, it can transfer the caller to someone who does.
• Converts uploaded CSV and XLSX files into lookup tables for structured information, such as clinic locations, available doctors, and accepted insurance. No backend integration is required.
• Routes calls using current queue details, agent skills, and routing rules. It can provide accurate wait times or offer to hold a caller’s place in line.
• Transfers calls with a conversation summary, collected details, and the full transcript, reducing the need for callers to repeat themselves.
• Can offer a live agent first, allowing callers to select the bot when wait times increase.
• Uses the same bot builder as Xima AI Messaging Bot, allowing teams to extend existing knowledge content, guardrails, and routing rules to voice. Bot calls appear alongside human-agent calls in reporting and can be scored through AutoQA.

Best for: Small and midsize contact centers that need every call answered after hours and during peak volume without adding another vendor or dashboard.

5. Talkdesk AI Agents for Voice

Talkdesk AI Agents for Voice is an autonomous voice agent within Talkdesk’s Ascend AI portfolio. It supports conversational self-service that can understand context, respond naturally, and help callers complete routine tasks.

Standout features:

• Allows teams to configure agents with natural-language prompts instead of complex scripts or intent mapping.
• Connects with CRM, CDP, and EHR systems to retrieve customer information during calls.
• Handles interruptions and shifts in caller intent during a conversation, with support for dozens of languages.

Best for: Enterprise contact centers using Talkdesk to deliver voice self-service across multiple regions and languages.

6. Five9 Intelligent Virtual Agent (IVA)

Five9 Intelligent Virtual Agent is a self-service solution for voice and digital customer interactions. It helps organizations automate common requests while providing a path to live assistance when needed.

Standout features:

• Answers FAQs, resets passwords, and provides order-status updates through voice, chat, and SMS.
• Offers a library of synthetic voice avatars, plus an option to create a custom branded voice.
• Passes the full IVA interaction history to live agents when a conversation transfers.

Best for: Larger contact centers already working in the Five9 platform.

7. Amazon Lex (Amazon Connect)

Amazon Lex is AWS’s conversational AI service for building voice and chat bots within Amazon Connect contact flows. It gives technical teams the flexibility to create custom self-service experiences that connect with their existing systems.

Standout features:

• Recognizes speech and natural-language intent to collect caller details and complete routine requests.
• Connects with backend systems through AWS Lambda for account lookups and transactions.
• Can answer questions using company knowledge bases through Amazon’s generative AI services.

Best for: Organizations with in-house AWS developers that want to build and maintain custom voice bots.

How to Choose the Right AI Virtual Assistant

The right AI virtual assistant depends on the channels your customers use most and how much setup your team can realistically support. A tool that works well for a developer-led organization may be too complex for an SMB contact center that needs fast deployment and simple day-to-day management.

Use this checklist when evaluating your options:

• Native integrations: Confirm that the tool works with your current phone system, contact center platform, and CRM. Third-party bots may require extra phone numbers, separate contracts, or off-platform call transfers that add cost and complexity.
• Channel coverage: Look for support across the channels your customers prefer, including voice, SMS, and web chat. A shared bot builder can help teams deliver a more consistent experience across channels.
• Handoff quality: Review what agents receive when a bot transfers a conversation. The handoff should include a summary, the details already collected, and a transcript so customers do not need to repeat themselves.
• Reporting: Check whether bot interactions appear alongside human-agent metrics. Combined reporting makes it easier to understand queue activity, customer outcomes, and opportunities to improve automation.
• Implementation needs: Consider the time required to launch the bot, plus the technical resources needed to build, test, update, and maintain it over time.
• Security standards: Verify how the provider protects customer and company data, controls access, and handles information used to train or power the bot.

Deploy an AI Virtual Assistant with Xima Software

Xima Software brings AI-powered messaging and voice automation into the same contact center system your team uses every day. Xima AI Messaging Bot and Xima AI Voice Bot are built on one bot builder, allowing teams to manage knowledge, guardrails, and routing across chat and phone from one place.

Schedule a live demo today to see how Xima connects messaging, voice, call routing, and AI assistance in a single system.