What is DeepConverse?
DeepConverse is an advanced AI-powered support automation platform that combines generative AI chatbots, interactive decision trees, and cognitive answer engine capabilities to streamline customer support operations. The platform seamlessly integrates with existing knowledge bases and backend systems to provide precise, conversational answers while enabling smooth agent handovers when needed.
The solution offers comprehensive features including step-by-step troubleshooting guides, multi-source content support, and rich analytics to help organizations deliver faster support while reducing costs. With ISO 27001 compliance, SOC 2 certification, and GDPR readiness, DeepConverse ensures enterprise-grade security while helping businesses scale their customer service operations efficiently.
Features
- Generative AI Chatbots: Provides precise and conversational answers using existing knowledge sources
- Interactive Guides: Step-by-step troubleshooting and process navigation
- Cognitive Answer Engine: Fast and relevant results from multiple content sources
- Agent Handover: Seamless transition to human agents when needed
- Rich Analytics: Comprehensive insights into support operations
- Multi-channel Support: Web, Facebook Messenger, SMS, and email integration
- No-code Flow Builder: Visual automation builder for support processes
Use Cases
- Automated customer support
- Technical troubleshooting
- Product warranty automation
- Student support automation
- E-commerce customer service
- IT helpdesk automation
- Knowledge base integration
- Process compliance training
FAQs
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What is a Guide Session?
A Guide Session starts when a user interacts with the guide by engaging with its content. -
What integrations are supported?
The product comes pre-built with connectors to systems like Salesforce, Zendesk, Lithium, Youtube, Confluence, Freshdesk, Gmail, Google Calendar, Google Drive, Intercom, Okta, Slack, Trello, and Twilio.
Related Queries
Helpful for people in the following professions
DeepConverse Uptime Monitor
Average Uptime
99.87%
Average Response Time
199.91 ms
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