GETTING STARTED
Kore.ai XO Platform
Virtual Assistants Overview
Natural Language Processing (NLP)
Concepts and Terminology
Quick Start Guide
Accessing the Platform
Working with the Builder
Building a Virtual Assistant
Using Workspaces
Release Notes
Current Version
Previous Versions
Deprecations

CONCEPTS
Design
Storyboard
Dialog Tasks
Overview
Dialog Builder
Node Types
Intent Node
Dialog Node
Entity Node
Form Node
Confirmation Node
Message Nodes
Logic Node
Bot Action Node
Service Node
Webhook Node
Script Node
Group Node
Agent Transfer
User Prompts
Voice Call Properties
Dialog Task Management
Connections & Transitions
Component Transition
Context Object
Event Handlers
Knowledge Graph
Introduction
Knowledge Extraction
Build Knowledge Graph
Add Knowledge Graph to Bot
Create the Graph
Build Knowledge Graph
Add FAQs
Run a Task
Build FAQs from an Existing Source
Traits, Synonyms, and Stop Words
Manage Variable Namespaces
Update
Move Question and Answers Between Nodes
Edit and Delete Terms
Edit Questions and Responses
Knowledge Graph Training
Knowledge Graph Analysis
Knowledge Graph Import and Export
Importing Knowledge Graph
Exporting Knowledge Graph
Creating a Knowledge Graph
From a CSV File
From a JSON file
Auto-Generate Knowledge Graph
Alert Tasks
Small Talk
Digital Skills
Digital Forms
Views
Introduction
Panels
Widgets
Train
Introduction
ML Engine
Introduction
Model Validation
FM Engine
KG Engine
Traits Engine
Ranking and Resolver
NLP Configurations
NLP Guidelines
Intelligence
Introduction
Contextual Memory
Contextual Intents
Interruption Management
Multi-intent Detection
Amending Entities
Default Conversations
Sentinment Management
Tone Analysis
Test & Debug
Talk to Bot
Utterence Testing
Batch Testing
Conversation Testing
Deploy
Channels
Publish
Analyze
Introduction
Conversations Dashboard
Performance Dashboard
Custom Dashboards
Introduction
Meta Tags
Dashboards and Widgets
Conversation Flows
NLP Metrics
Containment Metrics
Usage Metrics
Smart Bots
Universal Bots
Introduction
Universal Bot Definition
Universal Bot Creation
Training a Universal Bot
Universal Bot Customizations
Enabling Languages
Store
Manage Assistant
Plan & Usage
Overview
Usage Plans
Support Plans
Invoices
Authorization
Multilingual Virtual Assistants
Masking PII Details
Variables
IVR Settings
General Settings
Assistant Management
Data Table
Table Views
App Definitions
Sharing Data Tables or Views

HOW TOs
Build a Flight Status Assistant
Design Conversation Skills
Create a Sample Banking Assistant
Create a Transfer Funds Task
Create a Update Balance Task
Create a Knowledge Graph
Set Up a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Add Data to Data Tables
Update Data in Data Tables
Add Data from Digital Forms
Train the Assistant
Use Traits
Use Patterns for Intents & Entities
Manage Context Switching
Deploy the Assistant
Configure an Agent Transfer
Use Assistant Functions
Use Content Variables
Use Global Variables
Web SDK Tutorial
Widget SDK Tutorial
Analyze the Assistant
Create a Custom Dashboard
Use Custom Meta Tags in Filters

APIs & SDKs
API Reference
API Introduction
API List
API Collection
koreUtil Libraries
SDK Reference
SDK Introduction
SDK Security
SDK Registration
Web Socket Connect and RTM
Using the BotKit SDK

ADMINISTRATION
Introduction
Assistant Admin Console
Administration Dashboard
User Management
Add Users
Manage Groups
Manage Roles
Assistant Management
Enrollment
Invite Users
Send Bulk Invites
Import User Data
Synchronize Users from AD
Security & Compliance
Using Single-Sign On
Security Settings
Cloud Connector
Analytics
Billing
  1. Home
  2. Docs
  3. Virtual Assistants
  4. Advanced Topics
  5. Universal Bot
  6. Universal Bots

Universal Bots

Kore.ai’s Universal Bots facilitate a scalable, modular approach to Bot building by helping you link several Bots into one.

Universal Bot is a container bot that can be linked with one or more Standard Bots. When a user interacts with the Universal Bots, it routes the user utterance to the appropriate linked bot for intent detection or task fulfillment.

Note: A universal Bot doesn’t own the linked bots, but it interprets the user utterances and maps them to the correct linked bots. The changes that you make to a linked bot task from inside the universal bot, such as training the task, are saved directly to the linked bot. Also, you cannot create any task for the universal bots except for customizing a default dialog task that gets created automatically with every universal bot.

Highlights

  • The universal bot acts as a single interface for the Bot users of an enterprise, across business lines or products or services.
  • Standard bots that aim to meet a specific purpose can be built independently and then be associated with a Universal bot by linking them to the Universal Bot.
  • The developer can view and analyze all user interactions from within the Universal bot and also train the respective bots with additional training data.
  • The developer can train the Universal bot for identifying the relevant bots from a user utterance, using the ranking and disambiguation model. Universal Bot can be trained in three aspects:
    • Using example utterances like the Machine Learning model. This would help identify a set of linked bots as possible matches to the user utterance.
    • Invocation Names that would identify a specific linked bot from the user utterance.
    • Invocation Phrases that would identify a specific intent in a specific bot from the user utterance.
      Refer here to know more about training a Universal Bot.
  • This trained Universal Bot can then be published so that when the end-users interact with Universal bot, it will perform intent recognition across all linked bots to understand the user’s intent and engage the appropriate bot to perform the task.
  • In the case of ambiguity in identifying an appropriate bot or task, a sub-dialog is initiated to obtain confirmation from the user.
  • Universal bots also provide a  Fallback Bot for gracefully handling any untrained/un-recognized requests.
  • Linked bots can be marked as Inclusive bots that need not be trained with sample utterances to participate in the bot scoping process (introduced in ver8.0).
  • Apart from this, the developer can define eligible bots ie. assign specific bots to specific end-users so that only the intents from these bots are made available to them.

Implementation

The following flow chart shows the working of a Universal bot:

The following is the explanation for the above process flow:

  • Universal Bot checks id any eligible bots are defined.
  • If defined, then the list of eligible bots is obtained, else the user intent is checked against any Small Talk, etc.
  • If eligible bots not defined then all the linked bots are considered as eligible.
  • Once the linked eligible bots list is there, Universal Bot identifies the bots that qualify using the invocation phrases. (See the bot training page for details)
  • The user utterance is sent to the scoped bots and the results are processed by the Universal Bot’s Ranking and Resolver engine.

Universal Bot – upgrade

Post ver7.3 release of the platform, new Universal Bots would be versioned as 2.0.

We recommend you upgrade since the older version of universal bot will be deprecated soon. The previous version of Universal bot has the following limitations:

  • Training – you cannot train the universal bot, need to depend upon the training of the linked bots for proper functioning.
  • There are performance issues with the older version if the number of linked bots exceeds 5 or the total number of intents exceeds 100.
  • Variable Management is not possible from the older version of Universal bot.

Older version universal bots will prompt you to Upgrade when:

  • you open the universal bot; or
  • when from the left navigation menu you access Natural Language -> Training.

Once you upgrade, follow these steps to ensure that the user utterances are routed to the relevant linked bots:

  • Train the Universal Bot to identify the linked bots by providing Training Utterances or Invocation Names. The Universal Bot will route the user utterances only to the identified linked bots.
  • Mark linked bots as Fallback Bots. The utterances are routed to the Fallback bots when no other linked bots are qualified from the training provided. A maximum of 15 linked bots can be marked as Fallback bots.
  • Review the linked bot identification flow from the Utterance Testing module.

Refer here for more on training the Universal Bot.

Next Steps

  • Know more about Universal Bots and compare with Standard Bots behavior from here.
  • You can also start creating your Universal Bots by referring here.
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