See how every AI interaction performs, and where it can improve.
Monitor conversations in real time, understand failures, trace model activity, and turn operational insight into controlled improvement.
With CBOT Vision, business, AI, and operations teams follow performance across voice and digital AI agents through one unified analytics and observability layer. From the first request to the final outcome.
- Completed
- Escalated
- Failed
- Abandoned
- Request received
- Intent identified
- Context prepared
- Model selected
- Response generated
- Completion or escalation
ANALYTICS & OBSERVABILITY
Understand what happened, and how it happened.
Analytics shows what happened across AI operations. Observability helps teams understand how an individual interaction was processed, and why.
Analytics
- How many conversations were completed?
- How often did AI resolve without human support?
- Which intents and channels perform best?
- Where do escalations increase?
- Which failure patterns repeat?
- How does performance change over time?
Observability
- Which model was selected?
- What prompt and response were recorded?
- How long did the response take?
- How many tokens were consumed?
- Did a fallback occur?
- Why was the interaction escalated?
- Which step needs deeper investigation?
Analytics shows the pattern. Observability reveals the interaction behind it.
CBOT VISION
One view across AI performance and operations.
CBOT Vision provides real-time and historical visibility into customer and employee interactions managed by CBOT AI agents. Monitor overall performance, identify operational issues, and drill into individual conversations when deeper investigation is required.
Performance overview
Monitor conversation completion, containment, fallback, escalation, average length, and customer satisfaction indicators.
PERFORMANCE & FAILURE ANALYSIS
Find the patterns behind performance.
High-level metrics matter only when teams can see where performance changes and what causes it. Filter, compare, and investigate conversation outcomes across selected operational dimensions, then move from a chart segment straight to the conversations behind it.
- Completed
- Escalated
- Failed
- Abandoned
| Channel | Intent | Outcome | Confidence |
|---|---|---|---|
| Web | Billing inquiry | Completed | High |
| Voice | Document collection | Escalated | Low |
| Order status | Completed | High | |
| Web | New application | Escalated | Medium |
Move from a performance change to the conversations behind it.
TRACE AI & MODEL ACTIVITY
Follow the interaction from request to response.
CBOT records available model and interaction activity as part of the operational history. Authorized teams review the information behind an interaction and investigate the related execution when required, logging, traceability, review, and available execution details.
- Request received,
- Intent identified120 ms
- Context prepared85 ms
- Model selected40 ms
- Response generated820 ms
- Completion or escalationcompleted
Execution detail · Representative data
No blind spot between the interaction and the result.
REPORTING & INSIGHTS AGENT
Meet KALYA, the agent that keeps watching.
KALYA is CBOT's Reporting and Insights Agent. It monitors the metrics, AI operations, conversations, and processes you define; prepares regular reports; highlights meaningful changes and recurring issues; and recommends where teams should focus next.
Instead of waiting for users to search through dashboards, KALYA turns operational data into clear, actionable insight.
- MonitorContinuously follow selected metrics, workflows, conversations, and operational indicators.
- ReportPrepare scheduled management, operational, or team-level summaries.
- Identify patternsHighlight repeated failures, rising escalations, and topics requiring attention.
- RecommendSuggest practical next steps based on the observed data.
- EXECUTIVE SUMMARY
- AI-handled conversation volume increased week over week.
- POSITIVE DEVELOPMENT
- Containment improved across digital channels.
- AREA REQUIRING ATTENTION
- Escalations increased in the new product application workflow.
- ROOT PATTERN
- Most escalations occurred during document collection.
RECOMMENDED ACTIONS
- Review the document guidance.
- Investigate the related workflow steps.
CBOT Vision shows the data. KALYA tells you what deserves attention.
Turn insight into controlled improvement.
Analytics creates value when teams can act on what they discover. CBOT connects performance review with supervision, feedback, configuration management, and controlled improvement.
- 01
Monitor
Continuously follow performance and operational signals.
- 02
Detect
Spot a change or recurring failure pattern.
- 03
Review
Open the related conversations and investigate.
- 04
Feedback
Add corrections, annotations, or threshold adjustments.
- 05
Approve
Apply approval workflows and version control.
- 06
Release
Roll out the improvement with controlled release and rollback.
Every interaction can become a signal for the next improvement.
Frequently asked questions
What is CBOT Vision?
CBOT Vision is the analytics and observability layer of the CBOT platform. It provides real-time and historical visibility into AI conversations, operational performance, failures, escalations, and selected model activity.
What performance metrics can be monitored?
Teams can monitor indicators such as conversation completion, containment, fallback, escalation, intent performance, average conversation length, entity accuracy, customer satisfaction indicators, and operational activity. Available metrics may vary by agent design and project scope.
Can performance be analyzed by channel or intent?
Yes. Interactions can be analyzed using dimensions such as channel, intent, customer segment, agent, date, and selected operational categories.
Can individual conversations be reviewed?
Yes. Authorized users can review transcripts, confidence information, failure type, escalation reason, and available execution details.
Can CBOT trace LLM activity?
Yes. Model interactions can be logged with information such as the input prompt, selected model, response, latency, token usage, and fallback activity.
Does CBOT support live monitoring?
Yes. Active conversations and selected operational indicators can be monitored in real time through CBOT Vision.
What is KALYA?
KALYA is CBOT's Reporting and Insights Agent. It monitors defined metrics and processes, prepares reports, identifies patterns, and recommends areas requiring attention or improvement.
Can KALYA prepare scheduled reports?
Reporting schedules, content, filters, and summary formats can be configured according to organizational and operational requirements.
Can analytics data remain on-premise?
Yes. Analytics data and related platform components can operate within private cloud, hybrid, and fully on-premise environments.
TURN AI ACTIVITY INTO ACTIONABLE INSIGHT
See what is happening. Understand what needs attention. Improve what happens next.
Discover how CBOT Vision and KALYA help teams monitor AI performance, investigate conversations, automate reporting, and continuously improve voice and digital AI operations.