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What is an AI Assistant?

Understand, Simulate, and Execute

An AI assistant (artificial intelligence assistant) is an advanced software program that uses natural language processing (NLP), machine learning, and generative AI to understand human queries, simulate conversational interactions, and execute automated workflows.

Unlike traditional, rigid IT chatbots that rely strictly on pre-defined decision trees, modern AI assistants understand context, adapt to tone, learn from past interactions, and handle complex multi-step tasks.

Engaging with an AI Assistant

Core Capabilities of AI Assistantslink to this section

  • Natural Language Understanding (NLU): Interprets human language, intent, and sentiment. This allows users to communicate in plain, conversational language rather than rigid commands.
  • Contextual Awareness: Tracks the history of a conversation to provide relevant, personalized follow-up actions without needing the user to repeat information.
  • Omnichannel Integration: Operates seamlessly across multiple digital touchpoints—including SMS, web chat, voice (Interactive Voice Response/IVR), and social media—ensuring a unified user experience.
  • Intelligent Knowledge Retrieval: Instantly searches extensive, unstructured databases (like business CRMs, FAQs, and help centers) to deliver real-time, accurate answers.

Two Ways AI Assistants Drive Business Valuelink to this section

  1. Customer-Facing Support (Intelligent Virtual Agents): AI-powered virtual assistants act as a digital front door. They handle high-volume, routine inquiries—such as password resets, order tracking, and billing FAQs—24/7. When a complex query arises, the AI assistant executes a seamless, contextual handoff to a live human agent.
    1. Real-world example: 8x8's Otto, a support virtual assistant, interacts with users directly inside the Admin Console and Support Portal to provide instant troubleshooting, walk administrators through setup workflows, and easily open help cases.
  2. Agent-Facing Copilots (Agent Assist): Rather than replacing humans, AI assistants work side-by-side with employees. They listen to active phone or chat conversations to reduce manual workloads and speed up resolution times.
    1. Real-world example: 8x8 Smart Assist integrates directly within the Agent Workspace.It dynamically listens to customer interactions to provide live agent guidance, surface relevant FAQs, auto-capture entity data (like names and dates), and suggest wrap-up codes once a call ends.

Frequently Asked Questions (FAQ)link to this section

What is the difference between a chatbot and an AI virtual assistant?

Traditional chatbots are rule-based. If a user doesn't type an exact keyword, the chatbot fails. AI virtual assistants leverage Large Language Models (LLMs) and conversational AI, allowing them to interpret unstructured questions, recognize synonyms, and dynamically generate human-like answers.

Can an AI assistant route phone calls and live chats?

Yes. Using intelligent skills-based routing, an AI assistant can analyze a customer's incoming message or voice request, determine the exact problem, evaluate which live human agent possesses the correct skills to solve it, and instantly route the ticket.

How do AI assistants maintain data security in an enterprise setting?

Enterprise-grade AI assistants prioritize security by utilizing data encryption, adhering to global privacy regulations (such as GDPR), and preventing sensitive customer interactions from being used to train public, open-source AI models.

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