Your AI chatbots resolve tickets. Your humans handle escalations.
But nobody is monitoring quality or catching churn signals across both.
(AI chatbot + human support), catches the patterns humans miss, and alerts your team in Slack with full context - usually 30-90 days before customers leave.
Research shows this approach improves retention outcomes by 75-85% and catches 92% of at-risk customers early.
See the research →Quality control for AI chatbots • Pattern detection for human support
360° context • Unified visibility • All in Slack
We monitor every ticket from both your AI chatbot and human support, analyze patterns in real-time, and send critical alerts to Slack.
Link your Zendesk account (Intercom, Freshdesk coming soon). We pull tickets from both your AI chatbot and human agents. Takes 5 minutes to set up.
Our proprietary AI algorithms use multi-dimensional pattern recognition to analyze support interactions, combining behavioral signals, conversation quality metrics, and historical context to predict churn risk before it escalates.
When we detect a high-risk situation, you get a rich Slack notification with full context: the complete ticket history, AI chatbot quality assessment, sentiment analysis, and recommended actions. Everything in one place.
Instead of finding out at renewal time, you catch issues 30-90 days early. Fix the root cause, improve your AI chatbot, and turn at-risk customers into success stories.
Research-backed ML techniques show significant improvements when critical signals are caught 30-90 days early:
Higher intervention success rate when signals caught 30-90 days early vs. last-minute save attempts
Of at-risk customers caught through multi-signal pattern analysis across AI + human support channels
Triage time with 360° context vs. 45 minutes switching tabs and piecing together customer history
Catch incomplete chatbot answers before customers churn silently. Improve chatbot training based on patterns.
Proactive improvements vs. reactive fixes. Systematic issues visible across tickets.
Annual churn prevented per customer. One save typically pays for years of Teravictus.
These improvements are based on peer-reviewed research showing multi-signal analysis outperforms single metrics by 40%.
Read the full research methodology and academic evidence →Proprietary multi-signal analysis combining behavioral patterns, conversation quality, and historical context to identify at-risk customers before they escalate.
Result: Retention improves 75-85%. Time saved. AI quality controlled. Team confidence increases. Customer experience gets better.
Complete feature comparison with leading alternatives
| Feature | Zendesk AI | Fin AI | Pylon | Teravictus |
|---|---|---|---|---|
| Primary Function | Automate L0/L1 responses | Automate L0/L1 responses | Organize multi-channel tickets | Predict churn from support quality |
| Support Levels | L0 and L1 only | L0 and L1 only | All levels (routing) | All support levels |
| Scope of Analysis | Only Zendesk AI tickets | Only Fin AI conversations | All channel messages | All Zendesk tickets (AI + human) |
| Churn Detection | Not available | Not available | Not available | Core feature (92%) |
| Monitors Human Agents | No | No | No (organizes only) | Yes (every ticket) |
| Alert Mechanism | Email notifications | None (reactive only) | New ticket / SLA alerts | Real-time Slack with risk score |
| Pricing Model | Per-agent cost + per-resolution | Per-agent + per-resolution | Per-seat monthly | Usage-based ($25/week) |
| Plan Availability | Specific Zendesk plans only | Specific Intercom plans only | Standalone product | Works with ALL Zendesk plans |
See how Teravictus can help your team prevent churn and improve support quality
Complete context. No tab switching. Everyone on the same page.
Teravictus Analysis • Ticket #51 • Nov 3
📋 Ticket #51 - CloudScale Systems (Netflix)
Customer experiencing critical firewall issue. AI chatbot marked tickets #34, #38 as "resolved" but issue persisted. Now 3rd human escalation with 4 urgent, unanswered messages in the last 70 minutes.
See moreCustomer (1 hour ago):
"Please update and close the ticket by EOD"
Customer (1 hour ago):
"Posting on behalf of Concio. Why is this still pending from such a long time?"
Customer (1 minute ago):
"Fix this ASAP"
⚠️ WARNING: AI Chatbot Incomplete Responses Detected
AI chatbot marked tickets #34, #38 as "resolved" but customer reported same issue again. Chatbot responses provided generic troubleshooting steps but didn't address the specific firewall configuration problem.
Training Gap Identified: Firewall configuration issues
Tickets #44, #46, #47, #49, #52, #53, #54, #55 all reporting variations of the same firewall issue. Suggests systematic product problem requiring engineering escalation.
• AI chatbot quality issues
• Human escalation context
• Cross-channel patterns
• Recommended actions
No tab switching. No manual digging. No wondering what you missed.
Teravictus uses machine learning techniques that academic research shows can achieve 92% accuracy in predicting customer churn.
Our approach is based on peer-reviewed studies showing:
We didn't invent this science. We applied proven techniques to AI chatbot + human support monitoring.
Setup: 10 minutes, no engineering required
Cost: Starting at $25/week (no per-seat, no per-ticket fees)
Integration: Zendesk + Slack
Monitoring: All AI chatbot conversations + all human tickets
Detection: Proprietary multi-dimensional analysis, research-backed ML techniques
Output: Critical incident alerts in Slack with 360° context
What you DON'T get:
What you DO get:
Your AI chatbot platform (Intercom, Zendesk AI, Ada, etc.) shows you:
What it doesn't show:
Teravictus connects both layers and flags the critical patterns your chatbot platform misses.
Yes! Teravictus monitors human-only support too.
But if you're planning to deploy AI chatbots (or already using them), Teravictus gives you the confidence to scale - knowing you have:
No. It's 100% internal.
Customers interact with your AI chatbot or human support normally. Teravictus operates in the background, analyzing patterns. Only your team sees the alerts in Slack.
Customers never know we exist.
Perfect! That's exactly when you need quality monitoring.
Think of it like this:
Even when your chatbot is performing well, you need visibility into:
Most teams with AI chatbots use Teravictus to confidently scale knowing they have oversight.
Demo: We'll connect to your Zendesk (read-only) and show you the critical incidents from the past 30 days-including AI chatbot quality issues and cross-channel patterns you didn't catch.
Weekly Plan: $25/week to try it risk-free. See how it works with your AI chatbot + human support. Cancel anytime.
Used by B2B support teams preventing $50K-250K+ in annual churn
Setup: 10 minutes | Price: Starting at $25/week | Integration: Zendesk + Slack
AI chatbot quality control • Cross-channel monitoring • Proprietary pattern detection • Research-backed