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Operation Guide - Digital Virtual Agent

Operation Guide - Digital Virtual Agent

The digital virtual agent focuses on text-based interactions, with configuration and usage centered on the dialogue logic itself.


1. Creation & Configuration

Unlike voice agents, digital agents do not require configuration for voice (TTS) or speech recognition (ASR).

Path: AI Center → Digital Virtual Agent → Create New

  • Basic Information:

    • Name: Assign a name to your digital agent, e.g., “Pre-sales Consulting Bot” or “WhatsApp After-sales Agent.”

    • Conversation Context: Define the agent’s role, background, and overall objectives. This is identical to the setup for voice agents and is crucial for defining the AI’s core capabilities.

    • AI Engine / Model Version: Select the large language model that powers the AI’s reasoning, same as in voice agent configuration.

    • Description: Add notes on the agent’s intended purpose.


2. Workflow Design

Workflow design for digital agents is identical to the “Do (LLM + Workflow)” setup for voice virtual agents. You can reuse all knowledge and operations from the previous chapter, including flowcharts and nodes (e.g., intelligent dialogue, conditional branching, variable modification).

Path: After creating a digital agent, enter the configuration page. The default tab displays the flowchart.

  • Triggers (Trigger):
    Digital agents are typically used to handle inbound messages. After the start node, you can connect a trigger node.

    • You can define one or more keywords. When a user’s first message contains these keywords, the process will be activated.

    • If no keywords are defined, all new conversations sent to this channel will be handled by the digital agent.

 


3. Testing

Once the workflow is designed, conduct thorough text testing to ensure the logic behaves as expected.

Path: In the digital agent editing page, click the Test button in the top right corner.

  • Test Interface: A chat window where you can input text to simulate user conversations.

  • Dialogue Flow: Verify whether the agent’s replies are accurate and natural.

  • Debug Mode: By clicking the debug icon, you can view real-time flow transitions and variable changes, which is useful for troubleshooting logic errors.


4. Channel Deployment & Management

After configuration and testing, the digital agent must be deployed to business channels to go live.

Example: WhatsApp Channel

Path: Management → Digital → Channel Settings → WhatsApp

  • Enable AI Agent:

    • Locate the account where you want to deploy the agent.

    • Switch on Enable AI Agent for this account.

    • From the dropdown menu, select the digital agent you just created and tested.

    • Note: Once enabled, this account’s conversation flow will be handled by the digital virtual agent, replacing the original auto-reply process.

  • Start Service:
    After saving settings, all new messages sent to this WhatsApp account will be handled first by the digital virtual agent (provided they match the defined trigger).

    • If the AI agent cannot resolve the issue or triggers the “human handoff” logic, the conversation will be routed to a human agent according to preset rules.


5. Viewing Communication Records

Similar to voice agents, all conversations between digital agents and users can be monitored and analyzed.

Path: Reports → AI Conversations

  • Here you can filter and view sessions handled by AI.
  • Complete conversation record, AI intent recognition tags, customer information, and more are recorded in detail for subsequent analysis and optimization.
 
 
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Operation Guide - Voice Virtual Agent
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API Integrate Instructions
Last modified: 2025-09-16