Session Monitoring & Agent Observability
Every conversation. Every action. Fully transparent.
💬 Think of it as mission control for your AI employees.
Mission Control Dashboard
Futuristic dashboard showing full chat transcript
AI reasoning flow, performance graph with cost breakdown
Dark gradient UI with cyan lighting
Overview
Your AI agents are working 24/7 — talking to customers, solving problems, booking appointments, and closing deals.
But how do you know what they're saying, how well they're performing, or what's costing you more than it should?
Voxket Session Monitoring gives you complete transparency into every AI interaction. It records, analyzes, and evaluates every session — so you can trust, improve, and optimize your AI workforce continuously.
AI Performance Overview
Real-time metrics and analytics visualization
What It Does
Voxket Session Monitoring automatically tracks every customer-agent interaction across voice, chat, IVR, and video channels — storing a full record of what happened, why it happened, and what it cost.
It combines conversational visibility, operational analytics, and configurable prompt control — all in one dashboard.
Every session includes:
💡 You don't guess how your agents perform — you see it.
Session Timeline Flow
Horizontal Session Timeline
User input → Tool call → Response → Cost meter → Evaluation score
Why It Helps
1. Transparency Builds Trust
See exactly what your AI employees are doing — when, how, and why.
You get visibility into every interaction: reasoning steps, decisions, and tool calls.
→ Helps you audit, debug, and trust automation at scale.
2. Optimize Agent Performance
Find what's working — and what's not.
Session analytics show where the agent misunderstood, paused too long, or failed to act correctly.
→ Enables continuous fine-tuning of prompts, logic, and workflows.
3. Improve Customer Experience
Intent and sentiment detection identify when users are frustrated, confused, or happy.
You can pinpoint moments that cause drop-offs or escalations.
→ Drives customer satisfaction and retention.
4. Control Costs Intelligently
Token-level cost tracking shows which models or flows are expensive.
Compare model efficiency (e.g., GPT vs Gemini vs Mistral) with real data.
→ Allows LLM routing optimization and ROI-driven scaling.
5. Continuous Evolution
Every recorded session becomes training data.
You can refine prompts, update configuration, and retrain agents from insights automatically.
→ Converts your support operation into a self-learning system.
Technical Highlights
Built for precision. Designed for transparency.
| Category | Description |
|---|---|
| Event-Level Tracking | Captures every interaction (input, output, tool call, model response) with timestamps. |
| Full Multi-Modal Support | Logs transcripts, audio waveforms, and video frame markers. |
| Structured Storage | JSON-based schema for replayable and queryable sessions. |
| Intent & Sentiment Detection | Real-time tagging for user emotion, urgency, and context. |
| Agent Evaluation Engine | Scores accuracy, empathy, and compliance per conversation. |
| Token & Cost Attribution | Tracks model usage, API latency, and total spend. |
| Prompt Versioning | Maintains a full history of agent prompt changes and their performance impact. |
| Real-Time Monitoring Dashboard | View live sessions, search by keyword, sentiment, or outcome. |
| Observability Pipeline | Stream session events to Datadog, Snowflake, or ELK for deeper BI. |
| Role-Based Access Control (RBAC) | Secure visibility by role — manager, analyst, developer. |
| Anomaly Detection (Beta) | Detects unusual agent behavior or repeated escalation patterns. |
| Integrations | Export data to analytics tools, CRMs, or your data warehouse via API. |
Live Prompt Updates
Transcript Panel
Session conversation history
Prompt Editor
Editable prompt field with "Apply Update" button
See Everything. Control Everything.
Deploy complete session monitoring for your AI workforce.
