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Measure, monitor, and optimise performance across your AI ecosystem

Analytics provides a unified view of your AI Agents in action.

It connects every part of your platform, from prompts and models to workflows and integrations, so you can measure success, identify opportunities, and continuously improve performance.

Insights flow directly into your improvement workflows through TrueImprove, allowing teams to refine logic, retrain models, and optimise AI Agents with data-driven precision.

No blind spots or guesswork. Only measurable, traceable results that drive enterprise performance.

Key Features

Unified performance dashboard
View real-time metrics for every AI Agent, including response accuracy, latency, usage volume, and success rates across all channels.

Outcome and quality tracking
Define success metrics such as resolution rates, completion accuracy, or satisfaction scores to measure actual business impact.

Conversation and workflow analytics
Analyse both customer interactions and process workflows to identify where AI Agents excel and where improvements are needed.

Cost and efficiency insights
Track model usage, compute consumption, and operational cost to optimise spend without reducing quality.

Feedback and annotation integration
Feed human reviews and feedback directly into TrueImprove workflows for structured retraining, continuous refinement and improvement.

Root-cause analysis
Trace performance issues back to the underlying prompt, model, or data source to diagnose and resolve issues faster.

Custom reporting and exports
Build tailored dashboards or export metrics to BI tools for leadership visibility, compliance reporting, audit readiness, and board-level oversight.

Anomaly detection and alerts
Receive notifications when accuracy drops, costs spike, or performance deviates from expected thresholds.

Continuous improvement through data

Analytics closes the loop between insight and action.

Results flow directly into prompt management, model management, and TrueImprove, creating a continuous feedback cycle that refines how AI Agents think, respond and act.

This integration ensures improvement is ongoing, explainable and fully governed.

Governed by enterprise controls

All analytics data is governed through enterprise controls, providing:

  • Versioned tracking of all model, prompt and workflow changes
  • Secure, role-based access to sensitive performance data
  • Compliance with corporate reporting and data retention policies
  • Full audit trails for all analytics activity

Your analytics remain reliable, traceable, and compliant with your organisation’s governance standards.

See how your AI Agents perform and improve continuously.

Monitor, measure, and optimise every AI Agent for accuracy, performance, and impact.