AI Engagement Analyst
Every conversation your business has with a customer is a goldmine of insight, but traditional manual reviews often leave critical data untapped. AI Engagement Analyst is a continuous, automated conversation intelligence solution designed to analyze chat and voice interactions at scale. By eliminating blind spots, it automatically extracts real-time and historical metrics—such as Sentiment, Friction, Clarity, and Outcome—across both AI-powered and live customer support channels.
Purpose-built dashboards and an extended set of visualization tools provide instant visibility into customer experience trends, operational performance, and interaction quality. Contact center teams, customer support managers, and business leaders can quickly identify what works well, uncover recurring customer frustrations, and evaluate agent performance using objective conversational data.
The solution helps organizations better understand customer journeys, measure resolution effectiveness, monitor communication quality, and evaluate adherence to service standards — without relying on manual reviews or limited conversation sampling.
The extracted metrics are configured in the Admin workspace and can be tailored to different industries, business scenarios, and operational processes. This enables organizations to consistently evaluate customer interactions across multiple communication channels, including AI-to-human and human-to-human conversations.
By combining automated conversation analysis, configurable metrics, real-time processing, and advanced reporting capabilities, AI Engagement Analyst transforms conversational data into continuous, actionable intelligence that supports operational improvement, better customer experiences, and data-driven decision-making at scale.
Key Capabilities
- Real-time and historical analysis of chat and voice conversations, human-AI and live chat conversations.
- AI-driven extraction of predefined metrics (quality, performance, compliance, sentiment, sentiment, friction, etc.).
- Predefined and custom metric configuration via an Admin workspace.
- Structured metric storage for reporting and dashboards.
- Complex reporting dashboards with charts and data views, enabling detailed analysis of conversation trends, agent performance, and metric evolution over time.
Key Components
The main components of AI Engagement Analyst include:
- Druid Data Service back-end. Handles conversation storage, metric definition and values, conversation outcomes and processing states.
- Three dedicated workspaces:
- Conversation Toolkit Admin workspace – Used by solution administrators to:
- Define and manage metric definitions, formats and thresholds.
- Set specific business goals (outcomes).
- Provision default settings.
- Conversation Toolkit workspace – Used by business users to:
- Review analyzed conversations.
- Inspect extracted metric values.
- Track processing status.
- Reset and reassign conversations for analysis.
- Voice Conversation Toolkit workspace – Used by business users to review analyzed voice interactions, inspect extracted metric values, track processing status, and reset or reassign voice conversations for analysis.