Virtual Assistants Overview
Natural Language Processing (NLP)
Concepts and Terminology
Quick Start Guide
Accessing the Platform
Working with the Builder
Building a Virtual Assistant
Release Notes
Current Version
Previous Versions

Dialog Tasks
Dialog Builder
Node Types
Intent Node
Dialog Node
Entity Node
Form Node
Confirmation Node
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
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
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
ML Engine
Model Validation
FM Engine
KG Engine
Traits Engine
Ranking and Resolver
NLP Configurations
NLP Guidelines
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
Conversations Dashboard
Performance Dashboard
Custom Dashboards
Meta Tags
Dashboards and Widgets
Conversation Flows
NLP Metrics
Containment Metrics
Usage Metrics
Smart Bots
Universal Bots
Universal Bot Definition
Universal Bot Creation
Training a Universal Bot
Universal Bot Customizations
Enabling Languages
Manage Assistant
Plan & Usage
Usage Plans
Support Plans
Multilingual Virtual Assistants
Masking PII Details
IVR Settings
General Settings
Assistant Management
Data Table
Table Views
App Definitions

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

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

Assistant Admin Console
Administration Dashboard
User Management
Add Users
Manage Groups
Manage Roles
Assistant Management
Invite Users
Send Bulk Invites
Import User Data
Synchronize Users from AD
Security & Compliance
Using Single-Sign On
Security Settings
Cloud Connector
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  5. Experience Optimization Platform Experience Optimization Platform Experience Optimization (XO) Platform is an end-to-end platform to design, build, train, analyze, and manage enterprise-ready, AI-powered virtual assistants.

It is a one-stop solution that provides a scalable, secure, and repeatable foundation to create assistants that are able to communicate with people and systems and perform a wide range of intelligent tasks through award-winning NLP.

At the core of the platform is the NLP ( Natural Language Processing) Engine built with award-winning technology. It combines multiple intelligence methods to understand human utterances and intents, including sentiments and emotions.

The virtual assistants developed on the platform work on multiple communication channels, while the platform has pre-built integrations with several enterprise backend platforms. The platform is open and scalable which enables enterprises to extend their capabilities.

The following block diagram illustrates the major features of the platform.

Proprietary Multi-Pronged NLP Approach takes a unique multi-engine approach to NLP, each of which has its own specialized capabilities that cover 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 know when to seamlessly hand over conversations to humans.

GUI-Based Dialog Builder and Task Execution Framework 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 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 using traits, context tags, and sentiment analysis for a more personalized experience.

Omnichannel Presence

Communicate with your virtual assistant in the conversational channel of your choice. The XO Platform supports 30+ enterprises, social, live chat, SMS, email channels, voice assistants, websites, and mobile apps from a single configuration. It offers flexibility to customize responses and uses the unique UI elements of each channel.
For example,

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

Virtual Assistant Analytics and Dashboard provides all the data and visualization tools 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 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.

Also, all chat transcripts and VA changes are logged and accessible with full administrative lifetime control. Every action is well-documented for performance and compliance purposes.

Multi-Layered Security and Compliance provides a secure platform to build, deploy, and manage Process Apps and Virtual Assistants. It comes with rigorous security standards and practices, rock-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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