Introduction to Supervisor Copilot

Updated 

Supervisor Copilot is a generative AI-powered assistant designed to simplify and elevate contact center supervision. Through a conversational interface, supervisors can access real-time operational insights, perform primary root cause analysis (RCA), and ask day-to-day operational queries using natural language prompts. The assistant responds using context of their Sprinklr environment, delivering relevant insights tailored to their teams, workflows, and operational data.

Note: This feature is currently in Limited Availability. To enable this feature in your environment, contact Sprinklr Support at tickets@sprinklr.com.

Key Features

Supervisor Copilot offers the following key features:

  • Real-time insights through natural language queries: Supervisors can ask questions in plain language to retrieve real-time insights across live monitoring screens such as queues, agents, and cases, without navigating multiple screens or configuring filters.

  • Unified operational visibility: Provides a consolidated view of critical metrics, reducing manual monitoring and simplifying day-to-day supervision.

  • AI-led diagnostics and primary root cause analysis: Performs deep diagnostic analysis to identify the root causes of operational anomalies. The system analyzes temporal trends, peer comparisons, and related metrics to surface process gaps and suggest data-driven corrective actions.

Key Benefits

Supervisor Copilot delivers operational and productivity benefits:

  • Improved supervisor efficiency and capacity: Automates data retrieval and diagnostic analysis, allowing supervisors to shift time from manual auditing to coaching and performance improvement.

  • Significant time savings: Reduces the time spent on manual monitoring, reporting, and dashboard navigation by simplifying access to critical metrics through a conversational interface.

  • Faster coaching and decision-making: Provides immediate, data-rich context that enables supervisors to coach agents more effectively and drive quicker performance improvements.

  • Enhanced operational efficiency: Minimizes the need for manual analysis and RCA by operational analysts through automated, AI-driven insights.

  • Proactive issue identification and resolution: Enables early detection of systemic issues, such as ineffective knowledge articles or process bottlenecks, allowing teams to address problems before they escalate.

Supervisor Copilot in Action

Next Steps