Contextual conversations
Understand intent, ask clarifying questions, and remember context throughout the chat.
Understand, answer, and resolve.
Smart knowledge sync
Pull answers from websites, PDFs, knowledge base articles, RSS feeds, and help docs, with updates reflected as content changes.
Instant escalation
Transfer conversations to a human with the complete history and context already available.
Performance analytics
Reveal deflection rates, knowledge gaps, and conversation patterns through real-time dashboards.
Initial FAQ prompts
Present common questions as clickable options and guide conversations from the start.
Custom guardrails
Set restrictions, compliance rules, and response guidelines for accurate, professional conversations.
Control, deploy, and improve.
One-click ticket creation
Let customers create tickets without leaving the chat, with full conversation context included.
Maintain brand identity
Customize the virtual assistant to match your brand and user experience.
No-code setup
Connect knowledge, configure escalation rules, and deploy without developer resources.
Multilingual support
Detect language automatically and respond to users in their preferred language across channels.
CSAT and feedback collection
Capture satisfaction scores and use feedback to identify gaps and improve performance.
Omnichannel deployment
Deploy across website, in-app, WhatsApp, Microsoft Teams, and Slack from one configuration.
Feature questions
Which knowledge sources can the chatbot use?
It can sync answers from websites, PDFs, knowledge base articles, RSS feeds, and help documentation.
Can teams control what the chatbot says?
Yes. Custom guardrails can define restrictions, compliance rules, and response guidelines.
Can the chatbot create support tickets?
Yes. Customers can create a ticket from the chat when an issue needs tracked human follow-up, with the conversation context included.
Which channels support deployment?
Supported channels include the website widget, in-app chat, WhatsApp, Microsoft Teams, and Slack.
How can teams measure chatbot performance?
Performance analytics show deflection rates, knowledge gaps, and conversation patterns, while feedback collection captures satisfaction scores.