Sentiment & Escalation Predictor
Detect frustrated customers early and flag conversations for proactive intervention before they escalate.
How it works
Up and running in four steps
Ingest your knowledge base
Connect your help center, internal wikis, and resolved ticket history. Ejento indexes and chunks the content for accurate retrieval.
Configure the agent
Set tone, escalation rules, and topic boundaries. Define when the agent should hand off to a human agent automatically.
Integrate with your helpdesk
Connect to Zendesk, Intercom, or Freshdesk. The agent drafts replies inline. Your team reviews and sends with one click.
Measure deflection & quality
Track ticket deflection rate, CSAT correlation, and first-response time. Continuously refine with real conversation data.
Why Ejento
Built for enterprise from day one
Runs in your cloud
Every agent, every inference call, every log entry stays inside your VPC. Your data never touches shared infrastructure.
SOC 2 Type II ready
Ejento is independently audited and certified. RBAC, audit logs, and PII redaction are engineered in — not bolted on.
Model-agnostic
Run Claude, GPT-4, Gemini, or open-source models. Switch models per agent without changing your workflows.
Ready to automate sentiment & escalation predictor?
Book a session with our team and we'll show you exactly how to implement this use case for your organization.