diff --git a/ai-for-service/agentai/integration/nice-max-desktop-for-outbound-calls/agent-ai-integration-with-nice-max-desktop-for-outbound-calls.mdx b/ai-for-service/agentai/integration/nice-max-desktop-for-outbound-calls/agent-ai-integration-with-nice-max-desktop-for-outbound-calls.mdx index b0b610011..7dd8faeff 100644 --- a/ai-for-service/agentai/integration/nice-max-desktop-for-outbound-calls/agent-ai-integration-with-nice-max-desktop-for-outbound-calls.mdx +++ b/ai-for-service/agentai/integration/nice-max-desktop-for-outbound-calls/agent-ai-integration-with-nice-max-desktop-for-outbound-calls.mdx @@ -55,18 +55,18 @@ Complete the following steps to integrate Kore Agent AI with NICE MAX Desktop: - [Prerequisites](#prerequisites) - [Definitions](#definitions) - [Configuration Steps](#configuration-steps) - - [Step 1: Nice CX Integration Hubs > Add Agent Assist Hub](/ai-for-service/agentai/integration/nice-max-desktop-for-outbound-calls/agent-ai-integration-with-nice-max-desktop-for-outbound-calls.mdx#step-1-nice-cx-integration-hubs--add-agent-assist-hub) - - [Step 2: NICE CX Studio > Import Outbound Voice Script and Configure Parameters](#step-2-nice-cx-studio-import-outbound-voice-script-and-configure-parameters) + - [Step 1: Nice CX Integration Hubs Add Agent Assist Hub](/ai-for-service/agentai/integration/nice-max-desktop-for-outbound-calls/agent-ai-integration-with-nice-max-desktop-for-outbound-calls#step-1-nice-cx-integration-hubs-add-agent-assist-hub) + - [Step 2: NICE CX Studio Import Outbound Voice Script and Configure Parameters](/ai-for-service/agentai/integration/nice-max-desktop-for-outbound-calls/agent-ai-integration-with-nice-max-desktop-for-outbound-calls#step-2-nice-cx-studio-import-outbound-voice-script-and-configure-parameters) - [Step 3: NICE CX Account Setup for Outbound Call](#step-3-nice-cx-account-setup-for-outbound-call) - [Outbound Call Simulation](#outbound-call-simulation) -### Step 1: Nice CX Integration Hubs > Add Agent Assist Hub +### Step 1: Nice CX Integration Hubs Add Agent Assist Hub 1. Sign in to your **NICE** account with the user name and password provided by NICE customer support. 2. Click the **Applications Launcher** button. ![app-launcher](/ai-for-service/agentai/integration/nice-max-desktop-for-outbound-calls/images/app-launcher-1.png) -3. A menu opens from the left side of the page. Click **OTHERS** > **Automation & AI**. + A menu opens from the left side of the page. Click **OTHERS** > **Automation & AI**. ![automation-ai](/ai-for-service/agentai/integration/nice-max-desktop-for-outbound-calls/images/automation-ai-2.png) 4. Click **Agent Assist Hub** > **Add Agent Assist App**. @@ -98,7 +98,7 @@ Complete the following steps to integrate Kore Agent AI with NICE MAX Desktop: 9. Click **Create**. -### Step 2: NICE CX Studio > Import Outbound Voice Script and Configure Parameters +### Step 2: NICE CX Studio Import Outbound Voice Script and Configure Parameters 1. Download the [json script for outbound voice](/ai-for-service/assets/nice-agent-desktop-outbound-voice.json) or the [xml script for outbound voice](https://github.com/Koredotcom/docs-v2/raw/refs/heads/main/ai-for-service/assets/nice-agent-desktop-outbound-voice.xml) from the **Kore.ai Nice integration** repository. 2. Open the **NICE CX Studio** app from your desktop. diff --git a/ai-for-service/analytics/overview.mdx b/ai-for-service/analytics/overview.mdx index 8fce5387e..3d5c5109a 100644 --- a/ai-for-service/analytics/overview.mdx +++ b/ai-for-service/analytics/overview.mdx @@ -76,7 +76,7 @@ The Contact Center Analytics section provides operational dashboards, reports, a | [Contact Center Metrics](/ai-for-service/analytics/contact-center/contact-center-metrics) | Reference listing of all available metrics in Contact Center AI, covering AI Agent metrics and contact center dashboard metrics. | |[Agent AI Analytics Overview (Beta)](/ai-for-service/analytics/contact-center/agentai-analytics-overview)|Gives supervisors and administrators a date and channel-filtered view of how agents interact with the Agentic Copilot suggestions, search results, and conversation summaries.| |[Agent AI Analytics Feedback (Beta)](/ai-for-service/analytics/contact-center/agentai-analytics-feedback)|Displays the widget-satisfaction data and suggestion quality metrics for the Agent AI widget.| -| [Agent AI Analytics Performance (Beta)](/ai-for-service/analytics/contact-center/agentai-analytics-performance.mdx)| Gives supervisors and administrators a date and channel-filtered view of Agentic Copilot suggestion acceptance rates and average summary generation times.| +| [Agent AI Analytics Performance (Beta)](/ai-for-service/analytics/contact-center/agentai-analytics-performance)| Gives supervisors and administrators a date and channel-filtered view of Agentic Copilot suggestion acceptance rates and average summary generation times.| | [Agent AI Dashboard](/ai-for-service/analytics/contact-center/agentai-dashboard) | Performance metrics for the Agent AI widget including suggestions, relevance, automation outcomes, agent feedback, and widget satisfaction. | | [Agent AI Conversation Logs](/ai-for-service/analytics/contact-center/agentai-conversation-logs) | Library of all agent-customer conversations with AI-generated summaries, identifiers, sentiment, call recordings, and agent feedback. | | [Queues & Agents](/ai-for-service/analytics/contact-center/queues-and-agents) | Real-time and historical operational metrics across Overview, Efficiency, Agent Performance, and Queue Performance sections. | diff --git a/ai-for-service/apis/automation/import-bot-into-an-existing-bot.mdx b/ai-for-service/apis/automation/import-bot-into-an-existing-bot.mdx index 2c13fff04..db9ae3ab8 100644 --- a/ai-for-service/apis/automation/import-bot-into-an-existing-bot.mdx +++ b/ai-for-service/apis/automation/import-bot-into-an-existing-bot.mdx @@ -65,7 +65,11 @@ curl --location 'https://{{host}}/api/public/bot/{{BotID}}/import' \ "rules", "playbooks" ], - "qualityAI": [], + "qualityAI": [ + "taxonomy", + "connectors", + "autoQA" + ], "storyBoardScenes": { "includeComments": true }, @@ -108,7 +112,7 @@ curl -X POST \ | `botDefinition` | Required | Bot Definition File ID. | | `configInfo` | Required | Bot Configuration File ID. | | `botFunctions` | Optional | Bot functions file ID. | -| `importOptions` | Required | The system imports all bot components by default. If needed, you can specify which components to include in the import. Accepted fields: `tasks`, `nlpData`, `settings`. | +| `importOptions` | Required | The system imports all bot components by default. If needed, you can specify which components to include in the import. Accepted fields: `tasks`, `nlpData`, `settings`, `AgentAssist`, `qualityAI`. | | `options` | Optional | Incremental import options for the ML utterances, whether to replace or append. | | `botVariables` | Optional | Represents the environment variables. | diff --git a/ai-for-service/quality-ai/analyze/adherence-heatmap.mdx b/ai-for-service/quality-ai/analyze/adherence-heatmap.mdx index b5cb4e35c..a176d8f8a 100644 --- a/ai-for-service/quality-ai/analyze/adherence-heatmap.mdx +++ b/ai-for-service/quality-ai/analyze/adherence-heatmap.mdx @@ -198,7 +198,7 @@ Heatmap tiles display **No Interactions** for non-applicable (N/A) cases and rem The QA Dashboard displays a simplified Adherence Heatmap widget for the last 7 days using the selected evaluation form and queue filters. The widget updates dynamically based on shared dashboard filters, including Evaluation Forms, Queues, Channels, Languages, and Contact Direction. -The dashboard widget includes only evaluated interactions eligible for aggregation. Below Threshold and Duration Unavailable interactions remain excluded unless manually evaluated. These interactions remain available in [Conversation Mining](/ai-for-service/quality-ai/analyze/conversation-mining) and [Reports](/ai-for-service/analytics/quality-ai/reports/scheduled-reports). +The dashboard widget includes only evaluated interactions eligible for aggregation. Below Threshold and Duration Unavailable interactions remain excluded unless manually evaluated. These interactions remain available in [Conversation Mining](/ai-for-service/quality-ai/analyze/conversation-mining-interactions) and [Reports](/ai-for-service/analytics/quality-ai/reports/scheduled-reports). For more details about dashboard widgets and filters, see [Supervisor Dashboard](/ai-for-service/quality-ai/analyze/dashboard). diff --git a/ai-for-service/quality-ai/analyze/adherence-heatmap/images/adherence-heatmap-landing-page.png b/ai-for-service/quality-ai/analyze/adherence-heatmap/images/adherence-heatmap-landing-page.png index a4b89a12e..4cd0a508d 100644 Binary files a/ai-for-service/quality-ai/analyze/adherence-heatmap/images/adherence-heatmap-landing-page.png and b/ai-for-service/quality-ai/analyze/adherence-heatmap/images/adherence-heatmap-landing-page.png differ diff --git a/ai-for-service/quality-ai/configure/conversation-sources.mdx b/ai-for-service/quality-ai/configure/conversation-sources.mdx index 8d5ee876e..112b74436 100644 --- a/ai-for-service/quality-ai/configure/conversation-sources.mdx +++ b/ai-for-service/quality-ai/configure/conversation-sources.mdx @@ -3,9 +3,19 @@ title: Conversation Sources sidebarTitle: Conversation Sources --- -Conversation Sources lets you configure and manage voice and chat conversation inputs from multiple platforms in one place. Quality AI supports ingestion from Contact Center AI (CCAI), Agent AI, and Quality AI Express. +Conversation Sources define the systems from which Quality AI ingests and processes conversations for AutoQA and Conversation Intelligence. -You can assign agents to queues directly through the UI, enable or disable sources, and view and manage queues — including queue name, queue ID, system-generated ID, and assigned agents. +Quality AI supports both Human Agent and AI Agent conversation sources. The Automation AI conversation source enables Quality AI to process conversations from Automation AI Experience Flows. When enabled, AutoQA evaluates bot conversations using evaluation forms assigned to Experience Flows, while Conversation Intelligence analyzes conversations for sentiment, topics, and intents. + +The Conversation Sources page helps you: + +- Enable or disable conversation sources. +- Configure and manage voice and chat queues. +- View queue details, including queue name, queue ID, system-generated ID, and assigned agents. +- Add or edit queues. +- Assign agents to Agent AI and Quality AI Express queues through the UI, eliminating the need for public APIs. + +This centralized configuration simplifies conversation ingestion, routing, and management while ensuring the metadata required for accurate analytics and reporting is available. ## Access Conversation Sources @@ -17,7 +27,18 @@ Navigate to **Quality AI** > **Configure** > **Conversation Sources**. ## Supported Sources -Quality AI supports three conversation sources: +### Automation AI + +Automation AI enables AutoQA, Conversation Intelligence, default evaluation form creation, and Experience Flow-based evaluation for bot conversations. + +| Property | Details | +| ---------------------------- | ----------------------------------------------------- | +| AutoQA | Enabled automatically when source is enabled | +| Conversation Intelligence | Enabled automatically when source is enabled | +| Default evaluation form | Created and assigned to all Experience Flows | +| Experience Flow availability | Flows become available for evaluation form assignment | +| Processing scope | AI Agent (bot) conversations from Experience Flows | + ### Contact Center AI (CCAI) diff --git a/ai-for-service/quality-ai/configure/conversation-sources/conversation-sources.png b/ai-for-service/quality-ai/configure/conversation-sources/conversation-sources.png index 267eb6ebd..2485e8039 100644 Binary files a/ai-for-service/quality-ai/configure/conversation-sources/conversation-sources.png and b/ai-for-service/quality-ai/configure/conversation-sources/conversation-sources.png differ