Activechat Manual
  • What is Activechat?
  • New? Start here
    • The basics
    • Set up your first project
    • Install the chat widget
    • Upload the knowledge
    • Explore the CRM
    • AI-assisted live chat
      • How to set context for AI hints
    • Live chat mobile app
    • Build your first automation
  • Conversational AI
    • For Customer Service Teams
    • For Product Managers
    • For Innovation Teams
    • For Marketers
    • For e-commerce
    • For developers
  • Help Guides
    • Setting up your team
    • Managing conversations
      • Customer attributes
      • User tags and segments
      • Searching for specific users
      • Agent tags (live chat groups and queues)
      • Triggering live chat sessions from the bot
      • Notifications with the TRIGGER block
    • Managing knowledge
      • Uploading business data
      • Question answering and live chat hints
      • Fine-tuning the large language model
    • Natural language automation
    • Building automations visually
      • Customizing your welcome message
      • Adding new skills
      • Navigating skills
      • Copying skills and blocks
      • Handling errors
    • Improving your virtual agent
    • Using live chat AI hints
    • Customizing automatic website page messages
    • Tracking website actions
    • Facebook Ads automation
      • How to set up a Facebook ads bot
      • How to use buttons and quick replies in a Facebook ads chatbot
    • Lead generation
    • Zapier integrations
    • Customizing your project
      • How to customize the chat widget
      • How to customize the Facebook chat widget
      • How to change bot settings
    • Pricing guide
  • Fundamentals
    • Terminology
      • Intents and entities
      • Contexts
      • Skills and events
        • Built-in system skills
          • /start
          • /default
          • /_default_fallback
          • /_start_live_chat
          • /_page_visit
          • /_error
      • Conversation elements
        • Messages
        • Buttons
        • Quick replies
        • Galleries / carousels
    • Messaging channels
      • Website chat widget
        • Installation
        • Customization
        • Voice input
      • Chat widget landing page
      • Facebook Messenger
        • Connect your page
        • 24 hour rule
        • Message tags
        • Persistent menu
      • Telegram
      • Email
      • Twilio SMS automation
    • Intents and bot skills
    • Conversation insights
    • Grow tools
      • Landing pages
      • Messenger links and QR codes
    • Broadcasting
  • Visual builder reference
    • Sending messages
      • TEXT
      • LISTEN
      • IMAGE
      • MEDIA
      • GALLERY
      • FILE
      • EMAIL
      • SMS
      • LEAD
    • Triggering events
      • SEND
      • CATCH
      • TRIGGER
      • LIVE CHAT
    • Manipulating data
      • DATA
      • ADD TAG
      • REMOVE TAG
      • JSON
      • STATUS
      • VALIDATION
    • Conditional logic
      • SWITCH
    • Timers and delays
      • TIMER
      • WAITFOR
      • WAITUNTIL
    • E-commerce blocks
      • CATEGORY
      • PRODUCT
      • VARIATIONS
      • SIMILAR
      • UPSELLS
      • CROSSSELS
      • Shopping carts
        • ADD TO CART
        • UPDATE CART
        • SHOW CART
        • CLEAR CART
        • CREATE ORDER
    • Natural Language
      • NLP
    • System attributes
    • System events
  • Integrations
    • Google services
      • Connect your Google account
      • Google Sheets
        • Searching and updating Google Sheets data
        • Building galleries with Google Sheets data
      • Google Calendar
        • Searching for events
        • Creating and updating events
    • Shopify
    • WooCommerce
    • Dialogflow
      • Building an agent
      • Using entities
      • Slot filling
      • Context management
      • E-commerce NLP
Powered by GitBook
On this page
  • Building the right team
  • How to invite a new team member
  • How to add an agent to the live chat group (queue)

Was this helpful?

  1. Help Guides

Setting up your team

PreviousFor developersNextManaging conversations

Last updated 3 years ago

Was this helpful?

Implementing a conversational AI project is a team effort. The roles and responsibilities of team members will vary depending on the project, but a few key roles will always be necessary.

  • Conversational AI Developer: This role is responsible for developing the code that makes the conversational AI system work. They will need to be familiar with both natural language processing and programming languages. With Activechat, requirements for this role are substantially lower in terms of the technical background or development experience, since our platform follows the "no-code"/"low-code" model and makes even the most advanced conversational AI tech accessible to non-technical teams.

  • Data Analyst: This role is responsible for gathering and cleaning data, as well as performing data analysis. Again, Activechat makes this task substantially easier by utilizing the BYOD ("bring your own data") model and to virtual assistant development and improvement.

  • UX Designer: This role is responsible for designing the user interface of the conversational AI system. Activechat shines here due to the extreme flexibility of our and the simple logic of .

  • Business Analyst: This role is responsible for understanding the business needs of the project and translating them into requirements for the conversational AI system.

  • Product Manager: This role is responsible for managing the whole project and ensuring that all team members are working together effectively. .

You can create multiple projects in Activechat (some of our customers are agencies running hundreds of bots for their clients), and each project will have its own scope and a team of collaborators.

Building the right team

Live chat automation and customer service automation are tasks that require some teamwork. Most probably there will be multiple people on your conversational AI or digitalization team, working to improve your customer care experience:

  • Live chat agents

  • Live chat supervisors

  • Project managers

  • Developers

  • Administrators

To help you make their work more efficient, Activechat has a permission-based access system where you can invite new users to your project and assign them roles based on permission sets.

How to invite a new team member

Go to the "Team" menu on the left and click the "Invite new team member" button.

Type in the recipient's email address and choose a set of permissions to assign. These permissions can be:

  • Analytics - for analytics dashboard access

  • Billing - for adding and editing billing information

  • Live chat admin - this person can watch and reassign all live chat sessions

  • Live chat agent - this person has access only to chats assigned to him/her

How to add an agent to the live chat group (queue)

Go to the "Team - Agents" in the menu on the left, click on the gear icon next to the agent's name and list group tags in the "Settings" window. Don't forget to click "Save" when you're done.

The list is comma-separated and each tag name can contain only Latin letters, numbers, and underscores.

Before inviting anyone to your team, please make sure that this person has already signed up for a free Activechat account .

Admin - for basic editing (name, avatar, units, etc)

Automations - for editing

Channels - for connecting new

Conversations - allows access to conversation logs in the

Integrations - for adding and editing

With Activechat, you can assign each conversation to the most appropriate human agent. This is done by a smart message routing mechanism that is based on tags. We'll dive deeper into this topic in the "" section. For now, just assign some meaningful tags to each of your newly added users who have the "Live chat agent" or "Live chat admin" permission.

Later you will be able to use these tags to to the most appropriate agent or team.

simplifying the process of applying data analysis
visual conversation builder
adding and editing customers' intents
Read more about conversational AI for product managers
here
bot settings
Intents and Skills
communication channels
live chat CRM
integrations
Managing conversations
assign inbound live chat requests
Inviting a new team member to your customer service automation project
Setting up agent group tags for smart live chat routing