An agentic automation that triages incoming requests, drafts responses and updates systems without human busywork.

A support and operations team was drowning in repetitive triage — reading each request, classifying it, drafting a reply and updating three systems by hand. We built an AI workflow that does the first pass automatically.
Incoming messages are classified by an LLM, enriched with context retrieved from internal data, and routed through an agentic pipeline that drafts a response and syncs the relevant records. A human stays in the loop for approval, so the team keeps control while the busywork disappears. It runs on a Python backend orchestrated with n8n and typed integrations.
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