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
Feedback Survey
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
Conversations History
Conversation Flows
Feedback Analytics
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
BotKit SDK Tutorial - Blue Prism

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
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  4. Intelligence
  5. Bot Intelligence3 min read

Bot Intelligence3 min read

The best, most memorable bots have conversation flows that feel natural and human-like. Natural conversations, however, often tend to go beyond the pre-defined and linear intent resolution paths that seem inherent in most bots. To further complicate this, users often fail to follow a task to its logical conclusion before initiating another, which means that the bot must be able to guide the conversation in the new direction the user wants to go to achieve the desired result. i.e., without losing the original context of the conversation.

The Kore.ai Bots Platform empowers your bots to handle virtually all nuances related to human conversations, including interruptions, clarifications, and more. Also, you get complete control in defining the dialog turn and context switching experience for users.

Dialog Management

  • Handling of interruptions and context switching – The platform provides you with granular control over hold and resumes functionality at the bot, task, and node levels. more…
  • Allowing users to modify entity values – Very often users would want to amend the entity values, you can ensure that the bot responds to such situations and control the post-amendment dialog behavior. more…
  • Enabling the detection of multiple intents – The ability of the NLP engine can be enhanced to detect and execute multiple intents identified in a single user utterance. more…
  • Ignoring some words from user utterance –  When words and phrases in user input that are not helpful in task interpretation are marked, then bots can respond faster to user input and improve the probability of correct task recognition.  more…

Context Management

Bots are inherently stateless, but conversations between people can differ greatly based on their relationship and how much they know about each other. Because of this, as a chatbot developer, you struggle to keep track of different variables while maintaining the context and natural flow of a conversation.

Kore.ai allows you to capture and reuse contextual data for a large variety of scenarios, so you can create more complex use cases and redefine the enterprise customer experience.

  • The platform handles virtually all complex and diverse content switching scenarios in an effective and efficient manner. You can enable or disable context switches and add conditional exceptions between tasks with the ability to pass contextual data between them. More…
  • When you create tasks, you can access session variables provided by the platform, or custom variables that you define, as well as the context that defines the scope of the variable. More…

Sentiment Management

Trigger conditional flows and steer user-bot conversations with sentiment analysis and tone processing. Bots built with Kore.ai analyze the emotional state of users and callers and model their response to provide excellent service.

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