Automation AI Updates¶

This document provides information on the feature updates and enhancements introduced in Automation AI of AI for Service (XO) v11.x releases.

v11.15.1 July 12, 2025¶

Patch Release

This update includes enhancements and bug fixes. The key enhancement included in this release is summarized below.

DialogGPT

Sub-Intent Scoping Enhancement

DialogGPT has been optimised to manage sub-intents using dialog context, moving away from indexing. This change provides a clear separation between top-level intents and sub-intents, thereby improving the accuracy of the intent qualification and also providing developers with greater control. Learn more

v11.15.0 June 30, 2025¶

Minor Release

This update includes enhancements and bug fixes. The key enhancements included in this release are summarized below.

DialogGPT

Configurable Search AI Retrieval Settings

DialogGPT now allows users to configure chunk limits for Search AI retrieval, enabling them to control the number of chunks retrieved from knowledge sources. This feature improves the response times, contributes to improved intent identification, and optimises token consumption, while providing precise control over the balance between context depth and performance. Learn more

Enhanced Discoverability for Automation Node Settings

The Automation Node’s routing settings are now also available at Flow & Channels > Automation Routing > Routing Modes for better accessibility and visibility. This streamlined navigation not only enables users to view and configure settings at an Automation Node but also provides a complete view of the different routing modes - Default, DialogGPT, and Agentic App, used across the app. Learn more

Batch Testing Now Supports Multi-app Routing

The Batch Testing feature now supports multi-app routing, enabling users to evaluate conversational flows that span across multiple linked Virtual Assistants (apps). This enhancement aligns batch testing with real-world scenarios where conversations are dynamically routed to multiple linked apps. Learn more

Enhancement of Batch Testing Public APIs to support creation and management of test suites

As part of the ongoing Batch Testing support for DialogGPT, several enhancements are being introduced to the public APIs. These changes ensure compatibility with new test formats, support for Universal Bots (Multi-App Routing), and maintain flexibility to handle both NLP-based and DialogGPT-based applications. Learn more

Agent Transfer

Salesforce MIAW Agent Integration Enhancements

The Salesforce MIAW Agent Integration now includes features that enhance live support experiences. These enhancements help prepare agents, empower end-users, and maintain consistent brand communication.

Key enhancements:

Metadata Transfer: Essential context, including usernames, conversation summaries, case IDs, and session details, are now automatically transferred from the Platform to the Salesforce Agent Console during agent handoffs. This provides agents with immediate access to relevant information, reducing the need for users to repeat details and thereby accelerating issue resolution.
User-controlled Session End: End-users can now conclude live agent sessions using a configurable command. This provides users with more control over their experience and helps reduce unnecessary agent occupancy.
Customizable Standard Responses: Default system messages displayed during handoffs and live chats, including wait times, agent join alerts, and session closure prompts, can now be customized. This ensures a consistent, branded experience aligned with user expectations.

Learn more

User-Bot Conversation Summary for Live Agent Transfers

The Platform now enhances agent transfers by sending a conversation summary of the end-user and bot chat to the live agent during the transfer. This enhancement streamlines agent handoff by presenting a concise, GenAI-generated summary alongside the existing chat history link, eliminating the need for agents to navigate away from the chat window or open new pages to understand the conversation context. Learn more

API

Call ID Support in the getMessage API

To improve access to bot-user conversation history for voice interactions, the getMessage API now accepts callId as an optional query parameter, in addition to the existing sessionId. It aims to reduce latency and infrastructure load for high-volume customers who retrieve conversational data for analysis and auditing. Learn more

v11.14.1 June 14, 2025¶

Patch Release

This update includes enhancements and bug fixes. The key enhancement included in this release is summarized below.

Agent Transfer

Genesys Agent Integration Supports Attachment Sharing

Users can now share files with live agents to provide additional context and facilitate more efficient issue resolution. Previously supported only in the ServiceNow integration, this feature is now available in Genesys. Currently, Genesys supports attachment sharing only through the WebSDK channel.

Learn more

v11.14.0 May 31, 2025¶

Minor Release

This update includes enhancements and bug fixes. The key enhancements included in this release are summarized below.

DialogGPT

Evaluation of DialogGPT

The Batch Testing feature now provides a comprehensive evaluation framework to validate and enhance orchestration accuracy across all conversation types. It offers flexible test creation methods (manual and bulk upload) and assesses utterances across the retrieval and intent detection pipeline. It also supports different model configurations and provides comprehensive performance metrics for both development and production environments.

Key features

End-to-End Orchestration Testing: Processes each utterance through the full retrieval and LLM workflow, mirroring real-world behavior to uncover issues static testing might miss.
Model Configuration Flexibility: Supports testing across different combinations of LLMs and model configurations to identify the most effective configuration for your app.
Granular Performance Insights: Measure accuracy, precision, recall, and F1 score across all conversation types, including Dialogs, FAQs, Knowledge, and Conversation Intents.
Lifecycle Support: Enables batch testing for both in-development and published apps, supporting validation at any stage of the deployment lifecycle.

Learn more

Improved App Routing Discoverability

Automation app linking is now centralized for easier access under Flow & Channels > Manage Automation. This unified interface provides a quick view of Chat and Voice flows, displaying key routing details, including Flow Name, Automation Node, Routing Mode, and Channel. The integrated search bar enables easy filtering of results and efficient management of routing configurations.

LLM & Generative AI

Enhanced Response Rephrasing for All Message Types

The Response Rephrasing feature has been significantly expanded and enhanced to deliver more natural, consistent virtual assistant interactions across all response formats. This expansion now supports both structured content and traditional message types, while introducing new configuration options for granular tone control.

Key improvements

Enhanced Content Support: Processes Standard Responses, Events, FAQs, and JSON/JavaScript templates. It retains the core rephrasing capability with the new Default-V2 prompt framework.
Granular Control: Configure globally or at the component level (User, Error, Bot Prompts). Select specific response elements (messages, confirmations, entity values) for rephrasing with emotionally intelligent language.

Learn more

Agent Transfer

Genesys WebMessaging Integration for Agent Transfer

The platform now supports Genesys WebMessaging integration for agent transfer, in addition to the existing WebChat option. While existing users can still use WebChat with their current settings, WebMessaging will be the default for new integrations. As Genesys is retiring WebChat on June 10, 2025, transitioning to WebMessaging is highly recommended for ongoing support and access to the latest features. Learn more

Analytics

Node-level Control to Classify Conversations as Self-serve / Drop-off

To improve the accuracy of containment metrics in Analytics, users can now manage how conversations are categorized at the node level. A "Containment Type" option has been introduced within the Instance Properties of Entity, Confirmation, Message, and Agent Nodes. This new setting allows direct classification of conversations as ‘Self-Serve’ or ‘Drop-Off’ in Instance Properties, ensuring accurate exit tracking at optional stages and more reliable Analytics metrics.

This Setting overrides the dialog-level settings for containment type. The default option would be the dialog-level settings. Learn more

v11.13.1 May 17, 2025¶

Patch Release

This update includes enhancements and bug fixes. The key enhancement included in this release is summarized below.

Agent Transfer

Salesforce MIAW Integration for Agent Transfer

AI for Service now includes a new Salesforce agent transfer integration: Messaging for In-App and Web (MIAW). This is in addition to the current Salesforce Live Chat. While existing users can still use Live Chat with their current settings, MIAW will be the default for new integrations. MIAW offers a personalized, asynchronous, and persistent messaging experience. As Salesforce is retiring Live Chat on February 14, 2026, transitioning to MIAW is highly recommended for ongoing support and access to the newest features. Learn more

Security Vulnerability Fixes

As part of the recent upgrade, the XO Platform addresses potential security vulnerabilities that may affect Natural Language Processing (NLP) in apps you configure for the Dutch language.

In rare cases, the app may not correctly recognize certain user utterances, which can reduce response accuracy.

Recommended Action:

To maintain optimal performance and ensure the security integrity of your Dutch language apps, follow these steps:

Update training data: Expand training phrases to cover a wider range of user inputs.
Retrain the app: Use the updated data to retrain the app’s NLP models for improved intent recognition.
Republish the app: Republish the app to deploy the updated models to your production environment.

These steps help restore and maintain high recognition accuracy and consistent responsiveness in your Dutch language apps.

v11.13.0 May 03, 2025¶

Minor Release

This update includes enhancements and bug fixes. The key enhancements included in this release are summarized below.

LLM & Generative AI

Zero-Shot Intent Detection with LLM-Generated Confidence Scores

The enhanced Zero-shot intent detection feature uses the confidence scores provided by the AI models to identify the definitive and probable intents, making it easy to compare them with the intents identified by the other NLU engines.

Key enhancements

The system now utilizes confidence metrics from the language model for each identified intent, replacing previously hardcoded scores.
A configurable "Zero-shot Threshold" setting (default 0.7, range 0-1) has been introduced. Zero-shot intents must exceed this threshold to be considered valid.
Threshold-based filtering ensures that only high-confidence intents are sent to the Ranking & Resolver.
The default V2 prompt is enhanced with a Conversation History slider parameter.
LLM now receives intents, descriptions, conversation history, and the threshold score for processing.

Key benefits

Leverages the full potential of the platform's diverse intent recognition capabilities.
Deliver more relevant and contextually appropriate responses to end users.
Configurable confidence thresholds aligned with their specific use case needs.

Learn more

Pre-built and Custom Models Support for Rephrase User Query

The Rephrase User Query feature now supports both Pre-built and Custom Models, in addition to Kore.ai XO GPT. To use these models, users must create a custom prompt.

Users can optionally provide the Conversation_history key to specify the number of previous conversation messages to send to the LLM for improved contextual understanding. Learn more

Expanded PII Settings at the Agent Node Level

PII detection and protection are now available at the Agent Node level. Users can select whether to send redacted values to the language model for enhanced privacy control. The data is redacted based on the patterns defined in the global PII settings. Learn more

Conversation Testing

Support for Tags and Descriptions of Test Suite

Conversation Testing now supports including tags and descriptions in the JSON file for test cases, enabling faster creation and easier reuse of test cases to improve usability and accelerate test case management. Learn more

Agent Transfer

Failed ServiceNow Agent Transfer Notification

The platform now displays a default, non-editable message to users when a ServiceNow agent transfer fails due to agent unavailability, improving user clarity and reducing the need for repeated transfer attempts. Learn more

v11.12.1 April 19, 2025¶

Patch Release

This update includes enhancements and bug fixes. The key enhancement included in this release is summarized below.

DialogGPT

Amazon Bedrock Support for DialogGPT

DialogGPT now supports Amazon Bedrock models, providing large enterprises with a flexible and versatile solution for efficient conversation management. This enhancement allows users to experiment with and utilize various models through a single integration, using custom prompts to optimize their experience.

Learn more

v11.12.0 April 05, 2025¶

Minor Release

This update includes enhancements and bug fixes. The key enhancements included in this release are summarized below.

Agentic Experience

Seamless Integration with Agentic Apps for Multi-agent Orchestration

The fully autonomous Agentic Apps can now be easily integrated with the XO Platform. The integration simplifies the creation of highly contextual, self-service automation experiences using multi-agent orchestration powered by Agentic Apps.

Key features

Choice between "Orchestrated Autonomy" or "Full Autonomy" based automation capabilities.
Agentic Apps provide full support for any of the digital and voice channels enabled via the XO Platform.

Learn more

Simplified Integration to Support for Real-time Voice Interactions

The platform's new integration framework simplifies the enablement of real-time voice interactions using multi-modal language models, enabling low-latency, contextual, and real-time voice interaction experiences for your customers.

Key features

Two-way real-time voice streaming through Kore Voice Gateway to power the conversation automation using state-of-the-art AI models.
Dedicated orchestrator to define the voice experiences and controls.

Learn more

DialogGPT

Support for Dynamic Routing Capability Powered by DialogGPT

The Platform now supports Dynamic Routing capability powered by DialogGPT. This capability allows teams to independently develop and manage automation apps for their various functions and then link them to a common app. More importantly, it enables businesses to provide a single, unified interface to the end users instead of a separate interface for each function.

The orchestration is powered by DialogGPT, which provides context-aware, intelligent, and dynamic routing.

Key features

Link Multiple Apps via Automation Node: The Automation Node in Experience Flows has been enhanced to support linking multiple apps and using DialogGPT for intent identification.
Indexing Linked App Content: Dialog and FAQ chunks from linked apps are indexed in the parent app after linking. Search AI knowledge is supported only in the parent app by default.
Embedding-Based Matching: User input and content from linked apps (dialogs, FAQs, search documents) are converted into embeddings with metadata. The platform then retrieves the top-matching chunks based on semantic similarity.
LLM-Powered Intent Resolution: An LLM resolves the shortlisted chunks and determines the winning intent. It could be an Intent, Multiple Intents, Answers, FAQs, Conversation Intents, Ambiguous Intents, or Small Talk.
Automated Event Handling: Default platform-provided event handlers are triggered based on the fulfillment type, ensuring smooth user interactions and dialog execution.
Clarifying Questions for Ambiguous Intents: When ambiguous intents are detected, clarifying questions are triggered for disambiguation
Simplified Training: There is no need for training utterances or invocation phrases for bot qualification. However, providing complete dialog descriptions is required for more accurate intent identification.
Learn more

Introducing XO GPT - DialogGPT Model

XO GPT is a powerful DialogGPT model hosted by Kore.ai, exclusively fine-tuned for handling complex conversations. It enhances contextual understanding and response coherence, generating fluent and contextually relevant answers. This results in smoother conversational flow, increased user engagement, greater control over data, and faster response times. Learn more

Updates to Multi-Intent Orchestration

Users can now customize the predefined Multi-Intent fulfillment dialog for greater control and flexibility when the Conversation Orchestrator detects multiple intents in a user’s utterance. Learn more

Agent Node Enhancement

Enhanced Agent Node with V2 Prompt and Tool Calling

In this update, Agent Node introduces a new version to fully take advantage of the Tool Calling capability of advanced AI Models. The new version (v2) orchestrates the Agent Node using the Tool Calling construct to collect entities, instruct business rules, and perform user-defined custom actions.

Key enhancements

Tool-Based Orchestration:
- Exit Scenarios as Default Tools: Automate exit scenarios without setup using the Exit Orchestration Tool
- Custom Tools: Integrate tools for specific business needs
- Simplified Entity Handling: V2 removes explicit entity collection, reducing configuration complexity
- Expanded Tool Calling: Handles entity collection and exit scenarios via tool calling
V2 Prompts and Templates:
- Flexible Version Selection: Choose between V1 (Legacy) and V2 (Enhanced) prompts based on your requirements.
- Customizable Templates: For faster implementation, use pre-built JavaScript-based V2 prompt templates as custom prompts with both system and custom models.
- V2 Features:
  - Natural language responses without rigid JSON constraints, enabling more fluid conversations.
  - Mandatory output keys (Text Response Path and Tool Response Path) for consistent data handling.
  - Includes post-processor scripts to ensure smooth execution and maintainability.

Learn more

NLP

Suppressing "Intent Not Found" Event When Dialog Ends as "Fulfilled"

The platform incorrectly used to trigger "Intent Not Found" events after successfully completed dialogs, specifically when dialogs ended with Entity or Confirmation nodes, followed by Script or Service nodes. A new Advanced NLP Configuration key (Suppress_Fallback_On_TaskFulfilment) has been added that prevents unwanted events when the "End of Task" event is disabled and the Dialog has ended with a "fulfilled" status. This ensures smooth conversation flows for BotKit implementations, handles dialog completion, and prevents disruptions in multi-assistant routing scenarios. Learn more

Channels

WhatsApp Native Integration using Meta’s Cloud API

The XO Platform now offers native integration with WhatsApp Business via Meta's Cloud API. This integration eliminates the need for third-party Business Solution Providers (BSPs) and enables businesses to access WhatsApp features directly through their Kore.ai account. Learn more

Key features

Seamless management of templates, catalogs, conversational flows, and payments.
Simplified account linking and configuration through Meta's developer platform.
Enhanced operational efficiency and customer satisfaction.

API

Call ID Support in getSessions API

The getSessions API has been updated to accept callId as an optional query parameter. When provided with a valid callId, the API returns the corresponding session details, matching the functionality already available in the Conversation History API. Learn more

v11.11.1 March 15, 2025¶

Patch Release

This update include only bug fixes.

v11.11.0 March 04, 2025¶

Minor Release

This update include enhancement and bug fixes. The key enhancement included in this release is summarized below.

Build Agentic Experiences

Agent Node Tool Calling Enhanced with Jump-to-Node Transition Capability

The Agent node now features a "Jump-to-Node" transition option, enabling the creation of sophisticated dialog workflows. This enhancement allows for dynamic branching based on tool execution results, significantly streamlining the design of complex conversation flows.

Key Updates:

Added "Jump-to-Node" transition option for tools within the Agent node.
Enables seamless navigation to specified target nodes following tool execution.
Maintains complete session-level conversation history across all transitions.
Supports transitions to both orphan nodes and sub-dialogs.
Ensures full backward compatibility with existing tool configurations.

Learn more

Agent Transfer

Service Now Agent Transfer Status

The XO platform now records the status of the agent transfer for ServiceNow in both Debug Logs and Analytics. This information helps to analyze whether the agent transfer is successful or not. Thus, it facilitates improved tracking and troubleshooting of transfer-related issues.

Learn more

v11.10.0 February 12, 2025¶

Minor Release

This update include enhancement and bug fixes. The key enhancement included in this release is summarized below.

Analytics

Analytics for DialogGPT

DialogGPT's comprehensive analytics provide detailed tracking of user interactions, intent detection, and conversation outcomes, ensuring data-driven insights for continuous improvement. By leveraging analytics, the platform users can accurately evaluate DialogGPT's effectiveness and enhance conversational experiences. Learn more

Export/Import

**Redesigned Export Interface for Improved User Experience

The Import / Export interface has been redesigned to mirror the Publish layout. A new top-level "Flows" section and reorganized "Automation Tasks" improve component organization. The update maintains backward compatibility and provides clearer section names and descriptions for an intuitive, cohesive experience. Learn more

General Availability of Key Features

We are announcing the general availability (GA) of the following important features to all our users:

v11.9.1 January 25, 2025¶

Patch Release

This update include enhancement and bug fixes. The key enhancement included in this release is summarized below.

Agent Node

Pre and Post Processor Support at the Node Level for Custom Prompts

Agent Node now supports configuring pre and post-processor scripts at the node level for custom prompts, in addition to the existing prompt-level script support. This enables platform users to reuse the same custom prompt across multiple nodes while customizing the processing logic, input variables, and output keys for each specific use case.

Key changes

Pre and post-processor scripts can now be configured at both node and prompt levels for custom prompts.
A warning is shown to alert users about potential added latency when configuring scripts at both the node and prompt levels.
Scripts execution order in a defined flow: Node Pre-processor → Prompt Pre-processor → Prompt Execution → Prompt Post-processor → Node Post-processor.
Support for app functions in addition to content, context, and environment variables in the node level pre and post-processor scripts.

Learn more

v11.9.0 January 05, 2025¶

Minor Release

This update include enhancement and bug fixes. The key enhancements included in this release are summarized below.

Build Agentic Experiences

This release introduces new features that simplify building agentic experiences. Create more natural and personalized virtual assistant conversations while streamlining your development workflow.

Function or Tool Calling Support in Agent Node

Tool Calling enables Agent Node (previously GenAI Node) to interact with your business applications. You can define accessible tools, connect multiple actions, and incorporate external data into the conversation context. The recently launched DialogGPT manages conversation orchestration, while Agent Node with Tool Calling creates more natural interactions. Combine these features to deliver seamless agentic experiences for your customers and employees.

Key updates

Tool calling integration with business applications and external data.
Direct connection between tools and actions (scripts, service Search AI, Webhooks).
Prompts include tool definitions and context for decision-making.

Key benefits

More dynamic, responsive virtual assistants.
Integration of real-time data and complex query handling.
Flexibility with custom/system integrations and prompts.
Seamless orchestration between user input, functions, and responses.

Learn more

GenAI Node and Prompt Node Renaming The GenAI Node has been renamed the Agent Node to reflect its agentic experiences and tool-calling capabilities, while the GenAI Prompt Node has been renamed the Prompt Node.

DialogGPT

DialogGPT App Lifecycle Management DialogGPT has been integrated into the app lifecycle to centralize configuration management, ensuring consistency and scalability.

Key updates

Integrated with Generative AI & LLM Settings for centralized management.
DialogGPT events added to Integrations & API Extensions.
Full and partial app export/import support.
Version control and comparison features.

Learn more

OpenAI GPT-4o mini Support for DialogGPT The Platform now supports OpenAI GPT-4o mini models in DialogGPT for efficient conversation management. These models are compact and optimized variants of the GPT-4 family, designed to deliver high efficiency in resource-constrained environments while maintaining advanced capabilities.

Learn more

Dialog Builder

Enhanced Sticky Notes for Intuitive Note-Taking Experience The redesigned notes feature works like familiar sticky notes, making it easier and more intuitive to capture and organize your thoughts.

Key updates

Streamlined editing with autosave functionality.
Resizable notes for better organization.
Customizable background colors.
Default yellow styling with instant edit mode.

Learn more

Upgraded Bookmarks for Better Visual Organization The enhanced bookmarks feature improves organization and collaboration capabilities.

Key updates

Customizable background colors.
Improved loading experience with visual feedback.

Learn more

v11.8.1 December 19, 2024¶

Patch Release

This update includes bug fixes.

v11.8.0 December 11, 2024¶

Minor Release

This update include enhancement and bug fixes. The key enhancement included in this release is summarized below.

DialogGPT, an Agentic Orchestration for Intelligent Conversations

DialogGPT is an intelligent, agentic orchestration engine that powers natural conversations at scale, providing autonomous orchestration across multiple topics through Dialog Tasks. This innovative solution perfectly balances defined business rules and the conversational fluidity your customers expect from virtual assistants. Using a powerful combination of embeddings and generative models, it contextually understands user input and identifies optimal paths for request fulfillment. Setup is quick and effortless, as DialogGPT eliminates the need for training data by intelligently utilizing task names and descriptions for recognition. The DialogGPT is supported for English conversations only.

Key Capabilities

Conversation Orchestration: DialogGPT intelligently manages conversations, understands user intent, handles requests, seeks clarification when needed, and automatically deals with common conversational flows like pausing, repeating information, or restarting.
Smart Understanding: By considering the full context - current conversation, prior interactions, and user details - the system better understands user needs, reducing errors. It simplifies intent training and management by consolidating all intent types within a unified vector index.
Intelligent Dialog Navigation: DialogGPT can start by understanding a request and then asking targeted follow-up questions to determine the user's needs, guiding the conversation intelligently.
Flexible Responses: The system generates natural, contextual responses dynamically based on conversation history, user information, and business rules, ensuring appropriate answers for each situation.
Cross-Assistant Communication: DialogGPT seamlessly routes conversations to the correct assistant based on the user's stated needs for organizations with multiple virtual assistants.
Model Flexibility: Organizations can use their preferred AI models, whether commercial, custom, or Kore.ai's fine-tuned specialized models, for enhanced performance. They also have full control over the prompts' design to interact with AI models.
Performance Monitoring: Comprehensive testing tools and analytics are provided to track the system's performance in understanding users, successfully handling requests, and identifying areas for improvement.

Key Benefits

Improved Customer Experience: Customers enjoy more natural conversations with virtual assistants who understand the context and can simultaneously handle multiple requests.
Greater Accuracy: The system better understands what customers request, even when requests are complex or industry-specific. Combining broad understanding with detailed knowledge of your business can extract the right information and make smarter decisions about how to help.
Lower Costs: It reduces manual effort in building and maintaining virtual agents; it automatically resolves more requests, minimizing transfers to human representatives and lowering operational expenses.

DialogGPT Rollout Plan

The implementation of DialogGPT is planned in three phases:

Phase 1 (included in this release): Focuses on core capabilities like the main DialogGPT flow, RAG pipeline, conversation orchestrator, and handling of common conversation intents.
Phase 2 (future release): Introduces advanced features such as Universal Bot support, granular intent identification, custom entity extraction, and new XO GPT models.
Phase 3 (future release): Includes extended capabilities like multilingual support and implementation of guardrails.

Learn more

Dialog Builder

Property Panel Enhancements for List of Items Configuration

The property panel has been updated with a redesigned interface for configuring "List of Items" properties, including both enumerated and lookup types.

Key Improvements

Intuitive Layout: The new design organizes properties logically, making it easier to locate and modify settings. The streamlined interface reduces clutter and enhances usability.
Enhanced Sliders: The configuring "List of Items" sliders have been revamped to provide a more user-friendly experience. Users can now adjust settings more efficiently within the improved interface.

Learn more

Rich Text Formatting for Prompts

A new rich text editor has been added to all prompt areas in the platform, including User Prompts, Bot Responses, and Error Prompts. The editor allows platform users to easily format text using a convenient markup toolbar, enhancing readability and improving the user experience for content creators and end users. Double-click or select any text in the detailed prompt editor to invoke the toolbar.

Key Capabilities

Text Styling: Bold and italic formatting options
Headings: Six levels of headings (H1 to H6) for clear content structure
Lists: Numbered and bulleted lists with referencing controls
Media: Insertion of links and images (with URL and alt text)

Formatted text is rendered properly across all supported channels, and the feature maintains backward compatibility with existing prompts.

Learn more

Knowledge AI

Get FAQs API Enhancement

The Get FAQs API has been enhanced to support two sets of parameters, providing more flexible retrieval options while ensuring backward compatibility:

Existing Parameters (backward compatible): ktId and parentId (node ID)
New Parameters (alternative option): botId, language, mode (configured/published), and nodeName.

Learn more

v11.7.1 November 18, 2024¶

Patch Release

This update includes bug fixes.

v11.7.0 November 03, 2024¶

Minor Release

This update include enhancement and bug fixes. The key enhancement included in this release is summarized below.

Conversation Testing

Support for Preprocessor Script

The new Preprocessor Script for Conversation Testing lets platform users control preconditions during conversation testing. Users can run custom scripts before the recording, validation, and execution phases.

Key features:

Script Editor: Create, edit, and manage preprocessor scripts with built-in syntax highlighting and error checking.
Testing Controls: Execute scripts before initiating test recording and validation, with the ability to modify and re-validate on the fly.
Data Management: Control session context by modifying data, simulating external systems, and tracking changes through secure execution.
Learn more

Dialog Builder

Auto Save Option in JavaScript Editor

The JavaScript editor in Dialog Builder now allows users to enable auto save to automatically save changes while writing the code. Users can enable auto-save with a single click, and the changes will automatically be saved after one second of inactivity. They can view the last saved timestamp and use this feature across all Dialog Builder script editors. Learn more

v11.6.1 October 21, 2024¶

Patch Release

This update include enhancement and bug fixes. The key enhancement included in this release is summarized below.

Knowledge AI

FAQ Conditional Responses

The FAQ feature has been enhanced to provide more contextually relevant answers. Platform users can now define conditions for each FAQ response, allowing for dynamic answer selection based on specific criteria.

Key updates:

Context-based answer selection: Define rules to determine which response is delivered based on the query's context.
Integration with existing methods: The new rule-based system works seamlessly with the current channel-based and random selection methods.

Key benefits:

Improved accuracy and relevance of FAQ responses.
Enhanced personalization of user interactions.
Greater flexibility in managing complex FAQ scenarios.
Better user experience through context-aware answers.

Backward compatibility:

The enhancement is fully compatible with existing FAQs and answers to ensure a smooth user transition.

Learn more

v11.6.0 September 28, 2024¶

Minor Release

This update includes enhancements and bug fixes.

Dialog Builder

PII Redaction in API Responses (Service Node)

The platform now supports the redaction of sensitive/PII information in responses from external services. Users can select specific parts of API responses for PII scanning and apply suitable redaction patterns.

Key updates:

A new "PII Redaction for API responses" setting in Service Node Component Properties.
Customizable redaction for specific keys in API responses.
Multiple redaction methods, including original value, de-identification, random value, static text, or masking.
Supports various API response structures, including key-value pairs, arrays, and nested objects.
Enhanced logging with options for original or redacted data display.

Key benefits:

Improved compliance with data privacy regulations
Reduced risk of accidental sensitive data exposure
Flexible configuration to balance usability and privacy.

Learn more

v11.5.1 September 14, 2024¶

Patch Release

This update include minor enhancement and bug fixes. The key enhancement included in this release is summarized below.

Dialog Builder

Error Handling for Service Nodes

Service Node’s error handling capability is enhanced to provide greater control over non-timeout error scenarios. It allows platform users to customize dialog execution when API calls fail for reasons other than timeouts.

Key updates:

A new option to continue dialog execution after a service call failure.
Ability to transition to a specific node upon encountering an error.
Detailed error information is available in the service node response object.

Learn more

v11.5.0 September 01, 2024¶

Patch Release

This update includes enhancements and bug fixes. Key enhancements included in this release are summarized below.

Dialog Builder

Introducing Search AI Node

The platform has introduced a new Search AI node in the dialog builder. The node empowers platform users to integrate advanced search capabilities directly into dialog flows, improving the accuracy and relevance of AI responses in complex, multi-topic environments.

Key features:

Customizable Search Configuration:
- Query selection: Last user input or custom.
- Search Filters: Define meta filters to scope searches.
Flexible Results Configuration:
- Return Qualified Chunks: Access chunks via context variable.
- Generate Answer: Present standard response or store in context object.
Enhanced Control:
- Custom tags: Allow categorization and organization of search queries.
- Timeout configuration: Set limits on search duration to prevent delays.
- Error handling options: Define how the bot responds to search failures or timeouts.

Key benefits:

Targeted searches: Allows scoping searches to specific topics or contexts.
Improved accuracy: Reduces irrelevant responses and intent confusion.
Customization: Enables defining meta filters and search rules.
Seamless integration: Incorporates advanced search directly into conversation flows.

Learn more

Real-time Collaboration in Dialog Builder

This update transforms the Dialog Builder into a collaborative workspace, allowing multiple users to view, discuss, and seamlessly transition between editing roles.

Key updates:

Instant Cursor Chat: To initiate a cursor chat, use "Cmd+/" on Mac or "Ctrl+/" on Windows, or right-click on the dialog builder and select "Cursor Chat."
Dialog Access Claim:
- A new notification system is in place for users when the current editor exits the dialog. This allows other users to claim edit access seamlessly.
- The first user to click on the edit access notification will immediately be granted editing rights, enabling them to continue working on the dialog in edit mode.
Collaborative viewing: The first user to open the app is automatically granted editing rights, while subsequent users join as viewers. This ensures clear control over who can make changes, reducing the potential for conflicts or errors.

Learn more

Redesigned Property Panel for Dialog Builder Nodes

The redesigned property panel for Dialog Builder nodes was introduced in the previous release. It provides a fluid experience with better organization of the elements, easier discoverability of the options, and a new theme. The remaining second-level UI elements have also been updated to match the new theme.

Dialogs

Manage Components Search Enhancement

The improved search functionality in the Manage Components page allows platform users to find components more easily, regardless of whether they remember a component's technical name or display name.

Key updates:

A new "Display Name" field is added for all nodes.
Search now supports both Name and Display Name for all nodes.
Dynamic filtering as user types.
Case-insensitive search.
Matches from the beginning of field names.
Real-time results update.

Learn more

Digital Forms

Field Validations using Post Processor Script

The platform now supports custom field validations in Digital Forms using a post-processor script. It allows platform users to create complex, custom validation rules using JavaScript, improving data collection accuracy and user experience.

Key updates:

Custom Validation:
- JavaScript-based post-processor script.
- Supports dynamic variables, multi-field validations, and regex.
Design Time:
- An expandable text box for script input.
- Retry limit (20) with an error message on exceeding.
Run Time:
- Script processed on form submission.
- Error handling with task failure events and debug logs.
Validation Types:
- Field-level: Highlights field with the error message below
- Form-level: Displays error message above submit button

Backward Compatibility:

Existing forms treat the post-processor as an empty script.

Learn more

v11.4.1 August 11, 2024¶

Patch Release

This update includes bug fixes and minor enhancements.

Entity Node

Transient Entity Feature for Enhanced Data Privacy

The platform has introduced a "Transient Entity" feature for the Entity node. It allows platform users to ensure that sensitive user inputs do not persist after a conversation session ends.

Key updates:

The new “Transient Entity” toggle in Entity Node > Component Settings. It’s visible when Sensitive Entity is enabled.
It’s a component-level property, ensuring consistent application across all instances and flows using the Entity node.
Applies to all channels, including IVR.
Masks data during conversation based on existing Sensitive Entity settings.
Removes specified data from conversation history once the session ends.
Displays a placeholder "[data_purged]" in conversation history where data has been removed.

Key benefits:

Enhanced Data Privacy: Sensitive information does not persist after conversations end.
Audit-Friendly: Improves audit trails with a clear indication of purged data.

Known Issues

We are working to fix these issues in the next release:

Task Execution Logs (script execution): Entity values in the Context Object are redacted and not purged.
In Analytics > Conversation History: When a Transient Entity is printed in the message/confirmation node, the data is redacted but not purged.
Service Node: The usage of the transient entity in the service node request is in plain text in the response.
Debug Logs (Analytics): When a transient entity is printed as part of debugger statements, the data is in redacted form in the Debug Logs (Analytics) and is not purged.

Learn more

Dialog Builder

Real-time Collaboration in Dialog Builder

The platform now enables real-time collaboration in the dialog builder. It allows team members to work together seamlessly, enhancing efficiency and productivity in dialog development.

Key updates:

Live presence awareness: See who's currently working on the canvas. Cursor displays and avatar icons show active team members. Each member gets a unique color for easy identification.
Color-coded cursor: This helps team members easily identify their actions. They can see each other's cursor locations in real-time.
Instant cursor chat: It enables instant communication through comments tied to cursor positions, allowing users to communicate ideas and feedback in real time.
Simultaneous editing and viewing: It allows team members to work together seamlessly.

Key benefits:

Improved team efficiency.
Decreased risk of conflicting changes.
Faster decision-making and problem-solving.
Immediate feedback and idea sharing.
Streamlined dialog development process.

Learn more

Redesigned Property Panel for Dialog Builder Nodes

The redesigned property panel for Dialog Builder nodes provides a fluid experience with better organization of the elements, easier discoverability of the options, and a new theme.

Key updates:

Clean, intuitive layout: Logical organization of properties and minimized clutter for easier navigation.
Compact and responsive design: Streamlined interface for quicker access to properties. Adapts to various screen sizes and orientations.
Consistent updating: Applied to all nodes for uniform experience.

Key benefits:

Improved property accessibility.
Enhanced user efficiency in modifying element properties.
Easier navigation and reduced cognitive load for users.
Consistent experience across different devices.

Digital Forms

Field Validations using Regex

The platform now supports Regex-based field validations in Digital Forms, enhancing data collection capabilities.

Key updates:

Regex Option: Added alongside the existing predefined conditions in Field Validation.
Flexible Validation: Fields are validated based on the provided regex patterns.
Error Handling: Displays a custom error for a regex pattern mismatch.

Key benefits:

Provides greater control over input formats.
Enables precise data validation for complex scenarios.

Learn more

Agent Transfer

Enhanced Agent Chat History Link

The platform has improved the functionality of chat history links provided to agents during conversation transfers. The access limit for these links has been increased from 5 to 10 times, allowing supervisors to better audit them. Additionally, the links now display the specific conversation that prompted the transfer, providing more relevant context to agents.

Backward compatibility:

The existing agent transfer chat history links remain unchanged. These changes apply only to the links generated after this release.

Learn more

v11.4 July 27, 2024¶

Patch Release

This update includes feature enhancements and bug fixes. Key features and enhancements included in this release are summarized below.

Virtual Assistant

Timeout Settings Moved to Instance Properties for Service Node The timeout settings for the Service Node have been moved from Component Properties to Instance Properties.

Key benefits:

Increased flexibility: Customize timeout settings for each dialog individually without affecting other tasks using the same Service Node.
Improved error handling: The "Jump to Specific Node" option now works more reliably within the current dialog.

Backward compatibility:

Existing service nodes retain their current timeout behavior while the timeout settings are moved to the Instance Properties.

Learn more

Enhanced Debug Logs The platform now groups debug logs by user utterance and bot response in a chat-like structure to improve clarity and efficiency in tracing conversation flow for platform users.

Key updates:

Chat-like interface for intuitive log viewing.
Detailed logs displayed on group expansion.
Truncated display for lengthy responses with the "Show more" option.

Key benefits:

Improved readability: Easily follow the conversation flow.
Enhanced context: Quickly understand the sequence of events in a conversation.
Efficient navigation: Collapsible groups and smooth scrolling for a better overview.
Flexible viewing: Filter option for targeted log analysis.
Optimized performance: Lazy loading for efficient log rendering.

Rephrased User Query Details in the Context Object

The platform now includes the Rephrased User Query in the context object, making it available for downstream tasks. This enhancement improves intent detection, entity extraction, and search accuracy by providing enriched user input by incorporating contextual signals. Platform users can now leverage rephrased queries for dialog execution and API calls to Search AI.

Key updates:

New “UserQuery” context object:

context.UserQuery : {

    originalUserQuery : <original user input>,
    rephrasedUserQuery : <rephrase user query>
    }

New “Conversation History” setting: Indicates the conversation history length - the number of previous messages sent as context to LLM: Generative AI > Dynamic Conversation > Rephrase User Query > Advanced Settings > Conversation History Length.

Learn more

v11.3.1 July 13, 2024¶

Patch Release

This update includes bug fixes.

v11.3.0 June 29, 2024¶

Patch Release

Key features and enhancements included in this release are summarized below.

Virtual Assistant

Dynamic Values for Timeout Duration in Voice Call Properties

This update enables dynamic timeout settings for voice calls via environment variables. Users can now manage timeouts across multiple components without manual adjustments. This approach enhances consistency, reduces errors, and simplifies voice call property management.

The users now have two options for setting timeout durations:

Preset: Select a maximum wait time between 1 and 60 seconds to receive input.
Environment Variable: Select any environment variable from a drop-down list or use a search bar to find a specific variable. Learn more

NLU

Ability to Import ML Utterances from One Language to Another (without Translation)

The platform now supports copying utterances between languages within the same app. This feature simplifies importing and synchronizing utterance data across multiple languages. Learn more

The ability to automatically translate the copied utterances in the target language will be available soon.

Improvements to Zip Code Entities

The Zip Code entity has been enhanced to identify wild cards like “ “ and “-”. For example, “1 2 3 45” is identified as “12345”. Learn more

Digital Forms

Option to Clear Default Date During Design Time

Date fields on digital forms now have a clear ('x') icon, which allows users to easily remove the default date value.

Agent Transfer

Attachment Sharing Between Users and Live Agents

Users can now send files to agents during conversations. This improves communication and helps solve issues faster. This feature is currently available only for ServiceNow agent integration. Learn more.

Capability to Handle Agent Fallback Errors

The platform has introduced a new "Agent Transfer fallback response" to improve user experience during agent transfers. Instead of leaving the conversation idle, the platform can now inform users with an appropriate response that can be configured in the app definition. This feature allows for clearer communication and better handling of technical issues during agent transfers. Learn more.

v11.2.1 June 15, 2024¶

Patch Release

This update includes bug fixes.

v11.2 June 01, 2024¶

Patch Release

Key features and enhancements included in this release are summarized below.

Digital Forms

Preprocessor Script Support for Digital Forms

The Digital Forms module now provides the ability to dynamically configure the form definition and behavior. The newly introduced Preprocessor configuration allows updating the form definition dynamically using JavaScript. The platform executes this preprocessor during the runtime and delivers the form definition to the channel. The preprocessor can use the environment, content, and context variables.

The following are some of the key use cases:

Dynamically changing the form field titles, descriptions, etc.
Dynamically populating the values of fields, for e.g., options in a drop-down component
Changing the language of the messages to support multilingual conversations

The koreUtil library has been extended with the "getFormDefinition" function to retrieve and modify the form definition.

This feature also helps address the current limitation of system messages available only in English. The "formMsgMeta" section of the form data contains the full list of system messages and errors, which can be modified using the Preprocessor. Learn more

SDK Configuration

Customize Virtual Assistant’s Theme & Design

The platform now supports customizing the Virtual Assistant's look and feel with the new Theme and Design feature. This includes changes to welcome text, buttons, colors, chat windows, and sound themes to match their needs. A real-time preview pane shows changes instantly and makes it easy to make any adjustments before deploying the updated design. Learn more

Enhanced Panels & Widgets

The platform now supports the Panels and Widgets feature according to the selected Theme and Design of the Web SDK. Learn more

v11.1.1 May 11, 2024¶

Patch Release

This update includes bug fixes.

v11.1.0 April 27, 2024¶

Minor Release

Key features and enhancements included in this release are summarized below.

Dialog Builder

Enhancement to the Comments Functionality

The Comments feature now includes comment and thread actions, user mentions and notifications, timestamps, and filtering options. These enhancements make Comments a powerful tool for collaboration. Learn more

Digital Forms

Enable the "Off-the-Record Information" Flag for Digital Forms: On a digital form, when the field’s “Off the record” flag is enabled, the field data is cleared at the end of the user session and not stored in databases or logs. Learn more
Digital Forms Date Picker Supports Japanese: The digital form’s Date Picker now supports the Japanese language if the bot language is Japanese.

Export/Import

Enable App Import Functionality using Zip File Upload

Platform users can now import apps by uploading a ZIP file containing the app's data. This eliminates the need to extract and manually import JSON files. The ZIP file import works for both new and existing apps. Learn more

The corresponding APIs have also been updated to support this change: Import New VA and Import Existing VA.

v11.0.0 March 30, 2024¶

Major Release

Key features and enhancements included in this release are summarized below.

Advanced AI Capabilities

The platform has introduced several Advanced AI Capabilities that simplify building agentic experiences. Users can create more natural and personalized virtual assistant conversations while streamlining their development workflow.

DialogGPT, an Agentic Orchestration for Intelligent Conversations

DialogGPT is an intelligent, agentic orchestration engine that powers natural conversations at scale, providing autonomous orchestration across multiple topics through Dialog Tasks. This innovative solution perfectly balances defined business rules and the conversational fluidity your customers expect from virtual assistants. Using a powerful combination of embeddings and generative models, it contextually understands user input and identifies optimal paths for request fulfillment. Setup is quick and effortless, as DialogGPT eliminates the need for training data by intelligently utilizing task names and descriptions for recognition.

Key Capabilities

Autonomous Decision Making: Independently analyzes inputs and determines execution paths.
Zero-Shot Intent Detection: Utilizes RAG and LLMs to accurately identify intents without requiring training data.
Ambiguity Resolution: Efficiently resolves unclear intents through real-time clarification.
Multi-Intent Processing: Recognizes and manages multiple intents within a single query.
Conversational Nuance Management: Handles pauses, repetitions, and restarts naturally.
Dynamic Response Generation: Creates contextually appropriate responses based on user data and history.
Model Flexibility: Supports various model options, including commercial, custom, or Kore.ai's XO GPT models.
Granular Intent Resolution: Refines broad queries into specific, actionable intents using domain knowledge.
Universal App Capability: Powers the universal app (bot) capabilities with intelligent and dynamic routing to the appropriate agent.

Key Benefits

Greater Accuracy: The system better understands what customers request, even when requests are complex or industry-specific. Combining a broad understanding with detailed knowledge of your business can help extract the correct information and make smarter decisions about how to help.
Lower Costs: It removes the need to manually train the agent with diverse utterances, reducing the overall effort in building and maintaining virtual agents; it automatically resolves more requests, minimizing transfers to human representatives and lowering operational expenses.
Improved Customer Experience: Virtual assistants provide more natural conversations by understanding context and handling multiple requests simultaneously.

Learn more

Enhanced Agent Node with V2 Prompt and Tool Calling

Agent Node (previously GenAI Node) has been enhanced to take full advantage of the Tool Calling capability of advanced AI Models. The latest version (v2) orchestrates the Agent Node using the Tool Calling construct to collect entities, instruct business rules, and perform user-defined custom actions.

Key enhancements

Tool-Based Orchestration:
- Exit Scenarios as Default Tools: Automate exit scenarios without setup using the Exit Orchestration Tool.
- Custom Tools: Integrate tools for specific business needs.
- Simplified Entity Handling: V2 removes explicit entity collection, reducing configuration complexity.
- Expanded Tool Calling: Handles entity collection and exit scenarios via tool calling.
V2 Prompts and Templates:
- Flexible Version Selection: Choose V1 (Legacy) or V2 (Enhanced) prompts based on your requirements.
- Customizable Templates: For faster implementation, use pre-built JavaScript-based V2 prompt templates as custom prompts with both system and custom models.

Learn more

Build Agentic Experience with DialogGPT and Agent Node

Tool Calling enables the new Agent Node to interact with your business applications. Users can define tools, connect multiple actions, and incorporate external data into the conversation context. DialogGPT manages conversation orchestration, while Agent Node with Tool Calling creates more natural interactions. Users can combine these features to deliver seamless agentic experiences for your customers and employees.

Key features

Tool calling integration with business applications and external data.
Direct connection between tools and actions (scripts, service, or Search AI).
Prompts include tool definitions and context for decision-making.

Learn more

Seamless Integration with Agentic Apps for Multi-agent Orchestration

The fully autonomous Agentic Apps, powered by the Kore.ai Agent Platform, can now easily integrate with the XO Platform. The Agent Platform-powered automation independently handles entire conversation flows, adapting to situations without predefined paths. This flow leverages Agentic Apps to dynamically understand, plan, and execute actions based on user queries without relying on defined workflows. It intelligently manages context, retrieves relevant information, and orchestrates multi-step tasks to deliver accurate and personalized responses.

Key features

Choice between "Orchestrated Autonomy" (powered by DialogGPT) or "Full Autonomy" (Powered by the Agent Platform) based on automation capabilities.
Agentic Apps fully supports any digital and voice channels enabled via the XO Platform.

Learn more

Support for Dynamic Routing Capability Powered by DialogGPT

The Platform now supports Dynamic Routing capability powered by DialogGPT. This capability allows teams to develop and manage automation apps for various functions independently and then link them to a standard app. More importantly, it enables businesses to provide a single, unified interface to the end users instead of a separate interface for each function.

The orchestration is powered by DialogGPT, which provides context-aware, intelligent, and dynamic routing.

Key features

Link Multiple Apps via Automation Node: The Automation Node in Experience Flows has been enhanced to support linking multiple apps and using DialogGPT for intent identification.
Indexing Linked App Content: Dialog and FAQ chunks from linked apps are indexed in the parent app after linking. Search AI knowledge is supported only by default in the parent app.
Embedding-Based Matching: User input and content from linked apps (dialogs, FAQs, search documents) are converted into embeddings with metadata. The platform then retrieves the top-matching chunks based on semantic similarity.
LLM-Powered Intent Resolution: An LLM resolves the shortlisted chunks and determines the winning intent. It could be an Intent, Multiple Intents, Answers, FAQs, Conversation Intents, Ambiguous Intents, or Small Talk.
Automated Event Handling: Default platform-provided event handlers are triggered based on the fulfillment type, ensuring smooth user interactions and dialog execution.
Clarifying Questions for Ambiguous Intents: When ambiguous intents are detected, clarifying questions are triggered for disambiguation
Simplified Training: There is no need for training utterances or invocation phrases for bot qualification. However, providing complete dialog descriptions is required for more accurate intent identification.

Learn more

LLM and Generative AI Framework

Guardrails

Large language models (LLMs) are powerful AI systems that can be leveraged to offer human-like conversational experiences. The Kore.ai XO Platform offers a wide range of features to leverage the power of LLMs. LLMs are usually pre-trained with a vast corpus of public data sources, and the content is not fully reviewed and curated for correctness and acceptability for enterprise needs. This results in generating harmful, biased, or inappropriate content at times. The XO Platform's Guardrail framework mitigates these risks by validating LLM requests and responses to enforce safety and appropriateness standards.

Guardrails enable responsible and ethical AI practices by allowing developers to easily enable/disable rules and configure settings for different features using LLMs. Additionally, platform users can design and implement fallback behaviors for a feature, such as triggering specific events, if a guardrail detects content that violates set standards.
Learn more

Monitoring

It offers comprehensive insights into utilizing Large Language Models (LLMs) and Generative AI features. The framework collects, analyzes, and presents comprehensive data on user interactions, request-response dynamics, and payload details. It enables platform users to track and compare usage across various LLM features and refine prompts and settings to boost performance and user experience.
Learn more

All-new Dialog Builder

The all-new dialog builder is super intuitive, user-friendly, and visually appealing.

Intuitive Graphical User Interface

The all-new intuitive graphical user interface allows users to design conversational flows by dragging and dropping components onto a canvas. This simplifies the process of constructing dialogues, allowing users to visually structure and customize interactions between the AI system and users. It empowers developers and non-technical users alike to design and create conversational flows effortlessly.

Free-flow Designing empowers users to easily design the flow without worrying too much about the logic at the beginning. The ability to easily connect nodes without having to fully define the transition rule. The transition rule can start with a simple description and can be enforced at the later stages while testing/publishing.
Infinite Canvas allows designers to logically arrange the flow (based on purpose, objective, etc.) as needed, making it easy for them to review and audit the flows.
Customizable Connectors featuring options for color, width, and style to enhance clarity, readability, and emphasis.
Seamless drag and drop of nodes for a smooth experience.

Node Categorization

A streamlined node panel with user-friendly categorization—Ask, Inform, AI, and Integration—provides clear organization for users.

Sequencing

Enhance organization through the grouping of nodes into coherent sequences. Align nodes logically and provide clear, descriptive names for the sequences to facilitate future reference and comprehension. Provide the ability to clearly read and write the key information like name type, prompts/messages, and transition conditions. Enhance visibility and distinguishability by customizing sequences with color codes.

Universal Search

The new Universal search (CMD+K) quickly helps find out components, nodes, sequences, variables, etc.

Comments

Users can add comments and feedback directly within the dialogue builder. Enhances communication by providing a platform for feedback, suggestions, and discussions on specific elements of the design.

Bookmarks

Bookmarks allow users to organize and reference important information. Users can bookmark frequently visited or crucial content in the canvas with relevant information. Bookmarks help users navigate to content without having to search or browse extensively.

Notes

Add notes to highlight key points or summarize information. Notes can also be used for communication and feedback.

Additional features in XO v11

Addition of Flows

Flows act as entry points for conversations received through channel adapters. For each channel, a unique Welcome Flow is linked to define the user experience. Out of the box, there are predefined Welcome Chat Flow and Welcome Voice Flow options. Flows contain nodes like message nodes to greet users, script nodes to run JavaScript, IVR nodes for voice experience, and more.

For bots being upgraded to v11, existing On-connect and Welcome events (like Welcome Event, Facebook Welcome Event, etc.) will be retained. These will be present in the Start Flows (Welcome Chat Flow) as an option called "Use existing event configurations". Users can either honor the existing events or choose to execute the Welcome Chat/Voice Flow by turning off those events.

Dialog Builder Upgrade

The Dialog Builder used to create Dialog Tasks will be upgraded to the latest version V3. Existing published Dialog Tasks will remain viewable in their original V2 or V1 versions. However, if users want to edit any of those existing Dialog Tasks, they must upgrade them to the new V3 Dialog Builder version before making changes.

Addition of Search AI

The Basic and Advanced RAG features of Search AI come bundled with the Automation AI module for standard accounts. For enterprise customers, a separate Enterprise Search AI plan purchase is required to access the Search AI product, which is not included by default.

A new "Fallback configuration" is available in App Settings -> App Profile:

Set Automation AI as the first option, with Search AI as the fallback.
Set Search AI as the first option, with Automation AI as the fallback.

Based on this configuration, NLP will route user utterances to either Automation AI or Search AI as the primary option, falling back to the other product if needed.

Addition of Contact Center AI

While upgrading a bot to v11 app, default Contact Center AI components are automatically created behind the scenes: default queue, conditional flows, skill group, agent group, and hours of operation. For standard accounts, these defaults are accessible only if the Contact Center AI product is activated within that app. If not activated, users are prompted for a free trial when clicking Contact Center AI from the product switcher.

For enterprise accounts having a Contact Center AI license, the product and defaults will automatically be available in all apps.

Addition of Campaigns Module

The Campaigns Module is unavailable immediately after the bot-to-app upgrade. For Standard accounts, users can activate Proactive Web Campaigns by purchasing a paid Contact Center AI subscription. For Enterprise accounts, the Campaigns Module is automatically enabled once they subscribe to the Contact Center AI product.

Addition of Agent AI

Agent AI is not available by default for standard accounts. Users must first have an Automation AI subscription, and then Agent AI can be added as a paid add-on. Users interested in only Agent AI without Automation AI must contact the sales team to initiate the process.

During the bot-to-app upgrade, the following default Agent AI components are created but kept inactive until the product is activated:

Default playbooks
Default agent coaching
Agent Assist channel

User Role Management Module

When upgrading a bot to v11 app, several changes to user roles and permissions occur —updated role names aligned to "App," consolidation of permissions, the addition of new system roles like Agent/Supervisor, and the ability for App Owners to create new account roles.

System Roles:

Master Admin remains the same
Bot Owner becomes App Owner (role type "App")
Bot Developer becomes App Developer (role type "App")
Bot Tester becomes App Tester (role type "App")
New roles added: Agent (role type "App"), Supervisor (role type "App")
Custom roles remain unchanged

Bot Admin Console (BAC) Changes:

The "Bot" role type is renamed to "App"
All permissions across products are consolidated into one list
Existing role permissions remain, with additional permissions for other products in the same app
Users can enable these new cross-product permissions for roles

App Owner Roles:

New option for admins to allow App Owners to create new account-level roles from the XO v11 app

Pricing and Billing Management

All accounts start as Standard, with billing managed at the app level. Users can activate and pay for specific products per app based on their chosen plan.

Enterprise accounts are upgraded from Standard by Kore.ai based on signed agreements. Billing is then handled at the account level, with access provided to the signed products and custom limits.

When upgrading bots to v11 apps:

Standard accounts retain their existing v10 trial period, provisions (2000 sessions, 2000 voice minutes, 10,000 Search requests), and pay per app.
Enterprise accounts continue accessing their pre-purchased products and custom limits.

Addition of Marketplace

With the upgrade to v11, users will gain access to a new Marketplace. Here, they can install Dialog Templates and Actions, enable pre-built integrations, and browse various categories for available templates.

Addition of Setup Guide

After upgrading to v11, a new "Setup Guide" option will be available. This feature provides a step-by-step guide to help new users quickly set up their Virtual Assistant.

Implicit Publishing of the App

During the upgrade, the bot goes through an automated publishing process:

The current in-development version is published to check for errors.
- If errors are found, the upgrade is stopped, and the user is notified.
Assuming no errors, the new v11 features are added to the bot.
Finally, the upgraded bot, now a v11 app with the new capabilities, is published again.

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