Voxket Deep Analysis Agent
Turn your AI data into business intelligence.
💡 Ask questions like a CEO. Get answers like a data scientist.
Interactive Analytics Chat
Chat interface with user typing 'Show me refund reasons last week'
Dynamic charts (bar & pie) appear on right, glowing blue neon data flow
Overview
Your AI workforce talks to thousands of customers every week. Hidden in those conversations is valuable data about sales opportunities, customer sentiment, and operational gaps.
The Voxket Deep Analysis Agent helps you find it — instantly. It's your AI data analyst that can summarize, visualize, and uncover insights from every conversation across your organization.
You simply ask it in plain language:
"Show me the top 10 reasons customers contacted us last week."
"Compare call resolution rates between Sales and Support."
"What's the trend of product complaints in the last 30 days?"
…and it generates the answer — with summaries, tables, and live charts.
AI Analytics Interface
Dynamic data visualization and insights
What It Does
Voxket's Deep Analysis Agent continuously aggregates all agent-customer transcripts, metadata, and session outcomes, turning them into an LLM-powered analytics layer.
It provides:
3D Analytics Dashboard
Holographic dashboard showing AI data graphs
Topic clusters, sentiment heatmaps
Why It Helps
1. Insights Without Analysts
No SQL. No dashboards to build.
Simply type "show me why customers requested refunds" — and get instant charts.
→ Empowers non-technical teams to access operational insights instantly.
2. Voice of the Customer
Every transcript becomes structured feedback.
Deep Analysis groups complaints, requests, and praises — helping you understand your users better.
→ Enables data-driven product and marketing decisions.
3. Operational Intelligence
See which workflows take longest, cost most, or fail most often.
Detect repetitive intents, latency spikes, and escalation trends.
→ Improves agent logic and business efficiency.
4. True ROI Visibility
Track how much each AI campaign or workflow costs — and what value it delivers.
Measure deflection rate, automation %, and savings per interaction.
→ Makes AI investments measurable and defensible.
5. Predict & Optimize
The system identifies emerging patterns — e.g., a sudden rise in refund calls or repeated feature confusion.
You can act before it becomes a problem.
→ Turns analytics from reactive → proactive.
Agent Performance Comparison
Agent A
95% accuracy, 200ms latency, $0.05 cost
Agent B
88% accuracy, 350ms latency, $0.08 cost
Technical Highlights
Analytics built by AI — for your AI.
| Category | Description |
|---|---|
| Conversational Query Engine | LLM-to-SQL translator lets users ask questions in natural language. |
| Vector Database Storage | Stores transcripts and metadata in a vectorized semantic index for fast retrieval. |
| Knowledge Graph Mapping | Links agents, tools, and intents into a unified data model. |
| Chart & Visualization Engine | Auto-generates bar, line, and pie charts directly in the chat UI. |
| Topic & Sentiment Model | Detects clusters of emotion and recurring themes automatically. |
| Cost & Token Tracker | Tracks LLM usage, cost per intent, and per-department ROI. |
| Multi-Agent Comparison | Benchmark agent accuracy, latency, and resolution rates. |
| RAG-Powered Data Retrieval | Combines structured analytics with unstructured context (notes, summaries). |
| Export & API Access | Push analysis to Snowflake, Tableau, or custom BI dashboards. |
| Auto Insights Engine | Daily or weekly insight reports auto-generated for managers. |
| Security & Privacy Layer | Role-based visibility, masking of sensitive data, and full encryption at rest. |
| Fine-Tuning Feedback Loop | Uses insight data to retrain or adapt agent models automatically. |
For Businesses, It Means
Strategic Clarity
Understand what your AI workforce actually achieves.
Efficiency Optimization
See where time or money is wasted.
Customer Empathy at Scale
Hear what your customers are saying — literally.
Continuous Improvement
Update prompts or workflows backed by analytics.
Evidence-Based Growth
Make every product and service decision data-driven.
Ask Your Data. Get Real Answers.
Turn conversation logs into business strategy with the Deep Analysis Agent.
❓ FAQ
Frequently asked questions
What is Deep Analysis?
Supervisor-grade analytics on every interaction: emotion detection, topic extraction, and agent performance scoring.
What does it surface?
Sentiment, topics, resolution and escalation patterns, and per-agent scores across sessions, so you see what happened and why.
Can it help improve agents?
Yes. The insights feed auto-testing and prompt refinement, so you keep improving agents from real conversation data.
Does it work across channels?
Yes. Voice, chat, and video interactions are analyzed the same way.
How is this different from Session Monitoring?
Deep Analysis is the post-conversation analytics layer; Session Monitoring is the live, real-time supervisor view.
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