AI agents are handling customer conversations, executing workflows, invoking skills, and making decisions. How do you know they're doing the job correctly, and what is it costing you?
Metropolis analytics help you monitor AI performance, evaluate agent outcomes, and identify failures, all while tracking AI consumption and cost.
Illustrative dashboards based on real product capabilities. Available metrics and views depend on your AI platform, data sources, and integration.
Metropolis turns the data behind your AI operations into analytics your technical and business teams can use.
Track performance, accuracy trends, and changing behavior across all active AI agents.
Evaluate outcomes across agents, skills, and workflows to ensure high-quality execution.
Identify failures, escalations, and unsupported answers before they impact your customer experience.
Understand AI consumption and precisely what it's accomplishing for your business.
Illustrative dashboards based on real product capabilities. Available metrics and views depend on your AI platform, data sources, and integration.
Measure how agents handle interactions, complete tasks, and transfer to human representatives.
With Metropolis you can see:
Containment and resolution rates
Human escalations and transfer paths
Customer intents and interaction outcomes
Failed, abandoned, and repeated interactions
Performance trends by agent and workflow
A high containment rate doesn't always mean the customer's problem was solved. Metropolis helps you see the difference.
Illustrative dashboards based on real product capabilities. Available metrics and views depend on your AI platform, data sources, and integration.
Prompts, knowledge sources, models, and integrations change, and agent behavior changes with them. Metropolis shows you what's changing and where, so your team can investigate before customers notice.
With Metropolis you can track:
Accuracy and response-quality trends
Potential hallucinations and unsupported answers
Unexpected behavior and workflow failures
Changes in escalation and failure patterns
Performance comparisons over time
Illustrative dashboards based on real product capabilities. Available metrics and views depend on your AI platform, data sources, and integration.
With Metropolis you can analyze:
AI-to-human handoffs and escalation points
Intent patterns associated with transfers
Human and AI interaction volumes
Routing and workflow outcomes
Repeat interactions and unresolved needs, where supporting data is available
Performance data lives in communication platforms, agent environments, model usage records, workflow logs, and enterprise data systems. Metropolis brings the relevant data together, whether you're evaluating customer-facing voice agents, autonomous workflows, agent skills, or AI consumption.
Evaluate agent performance, grade skills, identify problems, and understand consumption and cost, all in one place.