80% of Tickets Resolved Before a Human Reads Them.

Our implementations consistently achieve 75–85% autonomous resolution rates for typical B2C support queues (account issues, order status, billing, FAQs, product questions). The rate is lower for technical support (40–60%) where complex troubleshooting requires human expertise. We measure and report resolution rate for your specific ticket mix before deployment.

Escalation logic is one of the most critical parts of the system. We define escalation triggers that are specific to your business: unresolved after N attempts, negative sentiment detected, VIP customer flag, specific keywords (legal, threat, fraud), complexity threshold, or explicit customer request. Every escalation includes full conversation history for the human agent.

Through RAG — we embed your knowledge base, documentation, help articles, policy documents, and product specs into a vector database. The AI retrieves relevant context for each query and generates responses grounded in your actual content. When your docs change, we update the knowledge base to keep responses current.

We integrate with Zendesk, Intercom, Freshdesk, HubSpot Service Hub, Gorgias, Re:amaze, and any helpdesk with an API. The AI operates as a bot agent within your existing helpdesk — tickets appear in your normal workflow, with AI-handled ones marked accordingly.

A focused single-channel support AI (web widget + one helpdesk) starts at $6,000–$12,000. A full multi-channel support system with advanced escalation logic, CSAT automation, and analytics runs $15,000–$35,000. Monthly operational costs include LLM API usage (typically $200–$800/month for medium-volume support queues).