GETTING STARTED
Kore.ai XO Platform
Virtual Assistants Overview
Natural Language Processing (NLP)
Concepts and Terminology
Help & Learning Resources
Quick Start Guide
Accessing the Platform
Navigating the Kore.ai XO Platform
Building a Virtual Assistant
Using Workspaces
Release Notes
Current Version
Previous Versions
Deprecations
Request a Feature
CONCEPTS
Design
Storyboard
Overview
FAQs
Conversation Designer
Overview
Dialog Tasks
Mock Scenes
Dialog Tasks
Overview
Navigate Dialog Tasks
Build Dialog Tasks
Nodes & Connections
Overview
Node Types
Intent Node
Dialog Node
Entity Node
Entity Rules
Form Node
Confirmation Node
Message Nodes
Logic Node
Bot Action Node
Service Node
Webhook Node
Script Node
Process Node
Agent Transfer
Node Connections Setup
Sub-Intent Scoping
User Prompts
Voice Call Properties
Dialog Task Management
Supported Entity Types
Supported Company Names
Supported Colors
Knowledge Graph
Introduction
Knowledge Extraction
Build Knowledge Graph
Create Node Structure
Build the Graph
Add FAQs
Add FAQs from an Existing Source
Run a Task
Traits, Synonyms, and Stop Words
Manage Variable Namespaces
Update Knowledge Graph
Introduction
Move Question and Answers Between Nodes
Edit and Delete Terms
Edit Questions and Responses
Knowledge Graph Analysis
Knowledge Graph Import and Export
Prepare Data for Import
From a CSV File
From a JSON File
Importing Knowledge Graph
Exporting Knowledge Graph
Auto-Generate Knowledge Graph
Alert Tasks
Small Talk
Digital Skills
Overview
Digital Forms
Digital Views
Introduction
Widgets
Panels
Session and Context Variables
Context Object
Train
NLP Optimization
ML Engine
Overview
Model Validation
FM Engine
KG Engine
Traits Engine
Ranking and Resolver
Training Validations
NLP Configurations
NLP Guidelines
Intelligence
Introduction
Event Handlers
Default Standard Responses
Contextual Memory
Contextual Intents
Interruption Management
Multi-intent Detection
Amending Entities
Default Conversations
Conversation Driven Dialog Builder
Sentinment Management
Tone Analysis
Test & Debug
Overview
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
Health and Monitoring
Deploy
Channels
Publishing
Versioning
Analyze
Introduction
Overview Dashboard
Conversations Dashboard
Users Dashboard
Performance Dashboard
Custom Dashboards
Introduction
Custom Meta Tags
Create Custom Dashboard
NLP Insights
Conversations History
Conversation Flows
Analytics Dashboard Filters
Usage Metrics
Containment 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
Get Started
Supported Components & Features
Manage Languages
Manage Translation Services
Multiingual Virtual Assistant Behavior
Masking PII Details
Variables
Collections
IVR Settings
General Settings
Assistant Management
Manage Namespace
Data as Service
Data Table
Table Views
App Definitions
Sharing Data Tables or Views
HOW TOs
Build a Travel Planning Assistant
Travel Assistant Overview
Create a Travel Virtual Assistant
Design Conversation Skills
Create an ‘Update Booking’ Task
Create a Change Flight Task
Build a Knowledge Graph
Schedule a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Train the Assistant
Use Traits
Use Patterns
Manage Context Switching
Deploy the Assistant
Configure Agent Transfer
Use Bot Functions
Use Content Variables
Use Global Variables
Use Web SDK
Build a Banking 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
Composite Entities
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
Intent Scoping using Group Node
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
Widget SDK Tutorial
Web SDK Tutorial
ADMINISTRATION
Introduction to 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 & Control
Using Single-Sign On
Security Settings
Cloud Connector
Analytics
Billing
  1. Home
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  4. Overview
  5. About the Kore.ai Experience Optimization Platform

About the Kore.ai Experience Optimization Platform

 

What Is the Kore.ai Experience Optimization (XO) Platform?

The Kore.ai XO Platform is an AI-powered, enterprise, end-to-end platform that designs, builds, trains, analyzes, and manages AI-powered virtual assistants.

Kore.ai provides a scalable, secure, and repeatable foundation to create assistants that leverage award-winning Natural Language Processing (NLP) engines to perform a wide range of intelligent tasks, including communication with people and systems. This is achievable thanks to technologies that combine multiple intelligence methods to understand human communication, intentions, sentiment and emotions.  

The virtual assistants developed with the Kore.ai XO on multiple communication channels and benefit from pre-built integrations with several enterprise backend systems. The platform is open and scalable, which enables enterprises to extend their capabilities as their business grows.

Major Features

Proprietary, Multi-Engine NLP Approach

Kore.ai takes a unique multi-engine approach to NLP, each of which has its own specialized capabilities, thus addressing the inherent weaknesses of any one individual model.

This approach allows you to create intelligent Virtual Assistants that understand human intent, handle complex back-and-forth conversations, and complete tasks. Our Virtual Assistants can also analyze user utterances for emotion and sentiment, retain context at various levels, and decide when to seamlessly hand over conversations to humans.

GUI-based Dialog Builder and Task Execution Framework

Kore.ai provides a visual dialog builder that helps you quickly and easily design conversation paths, create conditional nodes to handle multiple intents and sub-intents, and pause and resume scenarios. It also allows you to set up connections with external systems for seamless data exchange.

Our platform provides a simple, yet powerful API-based integration framework that saves developers from writing complex custom code, implementing third-party integration suites, or setting up enterprise service buses for every Virtual Assistant. The platform also allows VAs to systematically adhere to channel-specific nuances related to message formatting, authorization, authentication, and more.

Virtual Assistant Training for Business Readiness

Kore.ai provides everything you need to test your VAs and train them to interpret diverse human expressions, including a deterministic (fundamental meaning) model and a probabilistic (machine learning) model that you can use either separately or together.

Define user utterances, synonyms, and patterns to train your model for intent detection. Manage your model using NLP thresholds that best suit your unique VA use case.

You can also enhance the basic VA capabilities by adding FAQs, traits, context tags, and sentiment analysis for a more personalized experience. 

Omnichannel Presence

Communicate with your virtual assistant via the conversational channel of your choice. The Kore.ai XO Platform provides access to 30+ enterprise, social, live chat, SMS or email channels, voice assistants, websites, and mobile apps using a centralized configuration area. It offers flexibility to customize responses and uses the unique UI elements of each channel.

Some examples include:

  • Facebook Messenger,
  • Web Chat,
  • IVR Systems,
  • Google Assistant,
  • Alexa.

Virtual Assistant Analytics and Dashboards

Kore.ai provides all the data and visualization tools you need to measure and analyze your VA performance, and helps build a deeper understanding of employee and customer behavior.

Understand users’ interactions with your VAs and track your Virtual Assistant’s performance through VA engagement, conversational analytics, and functional analytics, all from a centralized dashboard. 

To ensure you build the best VA, the Kore XO Platform offers actionable insights such as custom segmentation, seamless data extraction, support for custom reports, and custom data visualizations.

Virtual Assistant and User Administration

Manage all your virtual assistants and users from a single, comprehensive web application.

Enroll users, create a granular VA builder, assign VA administration roles, and create groups to easily manage assignments at scale. Selective Virtual Assistant publishing and assignments, maker-checker options, and secure API access to platform features ensure you retain control over the complete creation of your VA and deployment lifecycle.

Stay in control while ensuring transparency and performance through logs of all chat transcripts and VA changes. Every action is well documented and accessible, with full administrative lifetime control. 

Multi-Layered Security and Compliance

Kore.ai provides a secure platform to build, deploy, and manage Virtual Assistants. It comes with rigorous security standards and practices, solid encryption, and built-in enterprise-class security and compliance across all components, layers, and interactions.

Our SOC Type 1 certified platform provides powerful mechanisms to protect and mask sensitive user information. It uses industry-standard SSO to integrate with enterprise authentication, encrypts data during transit as well as at rest, and is compliant with the latest industry standards.

We also maintain rigorous internal security practices at all times, regularly perform detailed penetration testing activities, and routinely refine our technical, administrative, and physical safeguards to provide an environment that is safe for enterprises of all shapes and sizes.

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