Local customer support copilot
Drafts accurate answers for agents and fills ticket fields from an internal knowledge base.
Problem it solves
Support agents spend too long searching instructions, respond inconsistently, and manually classify tickets.
Inputs
Ticket text, conversation history, product context, and support knowledge base.
Outputs
Draft response, category, priority, summary, and recommended next action.
How it works
A local LLM uses customer context and retrieved instructions. The human agent remains responsible for sending the response.
Limits and boundaries
Requires personal-data controls and regular evaluation on real support conversations.