OVERVIEW
Virtual Assistants
Kore.ai Platform
Key Concepts
Natural Language Processing (NLP)
Accessing Platform
VIRTUAL ASSISTANTS
Virtual Assistant Builder
Virtual Assistant Types
Getting Started
Creating a Simple Bot
SKILLS
Storyboard
Dialog Task
Introduction
Dialog Builder (New)
Dialog Builder (Legacy)
User Intent Node
Dialog Node
Entity Node
Supported Entity Types
Composite Entities
Supported Colors
Supported Company Names
Form Node
Logic Node
Message Nodes
Confirmation Nodes
Bot Action Node
Service Node
Custom Authentication
2-way SSL for Service nodes
Script Node
Agent Transfer Node
WebHook Node
Grouping Nodes
Connections & Transitions
Manage Dialogs
User Prompts
Knowledge Graph
Terminology
Building
Generation
Importing and Exporting
Analysis
Knowledge Extraction
Build
Alert Tasks
Introduction
Ignore Words and Field Memory
How to Schedule a Smart Alert
Small Talk
Digital Views
Overview
Configuring Digital Views
Digital Forms
Overview
How to Configure Digital Forms
NATURAL LANGUAGE
Overview
Machine Learning
Introduction
Model Validation
Fundamental Meaning
Introduction
NLP Guidelines
Knowledge Graph
Traits
Introduction
How to Use Traits
Ranking and Resolver
Advanced NLP Configurations
INTELLIGENCE
Overview
Context Management
Overview
Session and Context Variables
Context Object
How to Manage Context Switching
Manage Interruptions
Dialog Management
Sub-Intents & Follow-up Intents
Amend Entity
Multi-Intent Detection
Sentiment Management
Tone Analysis
Sentiment Management
Event Based Bot Actions
Default Conversations
Default Standard Responses
TEST & DEBUG
Talk to Bot
Utterance Testing
Batch Testing
Record Conversations
CHANNELS
PUBLISH
ANALYZE
Overview
Dashboard
Custom Dashboard
Overview
How to Create Custom Dashboard
Conversation Flows
NLP Metrics
ADVANCED TOPICS
Universal Bots
Overview
Defining
Creating
Training
Customizing
Enabling Languages
Store
Smart Bots
Defining
koreUtil Libraries
SETTINGS
Authorization
Language Management
PII Settings
Variables
Functions
IVR Integration
General Settings
Management
Import & Export
Delete
Versioning
Collaborative Development
Plan Management
API GUIDE
API Overview
API List
API Collection
SDKs
SDK Overview
SDK Security
SDK App Registration
Web SDK Tutorial
Message Formatting and Templates
Mobile SDK Push Notification
Widget SDK Tutorial
Widget SDK – Message Formatting and Templates
Web Socket Connect & RTM
Using the BotKit SDK
Installing
Configuring
Events
Functions
BotKit SDK Tutorial – Agent Transfer
BotKit SDK Tutorial – Flight Search Sample Bot
Using an External NLP Engine
ADMINISTRATION
HOW TOs
Creating a Simple Bot
Creating a Banking Bot
Context Switching
Using Traits
Schedule a Smart Alert
Configure UI Forms
Add Form Data into Data Tables
Configuring Digital Views
Add Data to Data Tables
Update Data in Data Tables
Custom Dashboard
Custom Tags to filter Bot Metrics
Patterns for Intents & Entities
Build Knowledge Graph
Global Variables
Content Variables
Using Bot Functions
Configure Agent Transfer
Update Balance Task
Transfer Funds Task
RELEASE NOTES
  1. Home
  2. Docs
  3. Virtual Assistants
  4. Advanced Topics
  5. Smart Bots

Smart Bots

Kore.ai’s Smart Bots allow enterprises to build Bots centrally and allow various teams within the enterprise to reuse and extend the Bot configurations to suit their requirements. Smart Bots expedite the bot building process by allowing new bots to inherit the configuration and tasks of pre-defined bots.

For example, a bank with operations in various countries and jurisdictions can use Smart Bots to define global standards and allow regional units to supplement with any local regulatory or customer needs.

Or a utility bot could be built to fulfill common enterprise needs like IT Help Desk, Leave Management, etc. and individual departments could inherit this utility Smart bot and supplement department specific tasks. Like, the Marketing & Sales team could subscribe to the utility Smart bot and add tasks related to prospecting by integrating with Salesforce, Hubspot, etc.

Use Case

Banking Bot – Multi-jurisdiction Operations

Banks with operations in various countries or jurisdictions can use Smart Bots to define global standards and allow regional units to supplement with any local needs of the regulators and/or customers. 

  • A global team can define the minimum essentials or the mandatory tasks as a Smart bot;
  • Regional units or groups can install the Smart bot to inherit the configurations and include additional tasks to meet specific local requirements;
  • Upgrades to the Smart bots are automatically inherited by all regional bots;
  • Regional units/groups can also selectively unlock the components to stop receiving upgrades from Smart bot.

How it works

  • Smart Bots functionality is built based on the concepts of Object Inheritance Model.
  • Developers of a Smart Bot can build the bot definition along with tasks and knowledge queries and publish it like any other standard bot.
  • Any parameters that need to be customized locally can be exposed as variables.
  • Interested teams or developers within the enterprise can build child bots by inheriting the bot definition from the Smart bot.
  • Any update on the parent can automatically be passed onto all inheriting child bots.
  • Developers may extend the child bot with additional tasks and knowledge queries. These extensions will not affect the parent bot or the other inheriting child bots.
  • The developer of the child Bot will also have the option to selectively override the inheritance if required.

Learn how to define Smart Bots from here.

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