AI Customer Service Agent
Upload your docs → get a 24/7 support agent that answers from them, classifies every ticket, drafts replies for human approval, and escalates when it’s not confident.
How it works
1. Ingest your knowledge
Drag-and-drop PDFs, Markdown, and URLs. Chunks are embedded and indexed for semantic + keyword retrieval.
2. Chat with citations
An Intercom-style widget answers customer questions and surfaces the exact passages it used — no hallucinations.
3. Classify and route
Every ticket is auto-tagged (billing / bug / sales / escalation). Low-confidence answers drop into a human review queue.
60-second Loom
45-second flow: upload 3 legal docs → ask 2 questions → show the citation pop-out → open the escalation queue.
Get the full build spec PDF
One-page PDF with the architecture, the tech stack, the timeline (2–3 weeks), and the investment range ($9,990 – $25,000). Sent to your inbox in under a minute.
Who it’s for
Support leaders at SaaS, legal, and hospitality companies drowning in repeat questions who need to deflect 60%+ of tier-1 tickets without shipping wrong answers.
Tech under the hood
Frequently asked questions
How does it avoid hallucinations?
Every answer is grounded in a retrieved passage from your uploaded documents, and the exact citation shows in a side panel. If confidence is below the threshold you set, the ticket goes to a human review queue instead.
What document formats are supported?
PDFs (scanned and text), Markdown, HTML, Notion and Confluence exports, Word docs, and plain URLs. Unstructured.io handles parsing; chunks are embedded with OpenAI or Voyage AI.
Does it replace Intercom or Zendesk?
No — it plugs in as the first-response agent. Approved replies post back to your existing help-desk via webhook; escalations route to human agents in their normal queue.
How is ticket classification trained?
Classes are defined by label + 3–5 example tickets each. Claude classifies via in-context learning. No fine-tuning required — accuracy typically hits 92%+ on day one.
Want one of these in your business?
We’ll scope, build, and hand off a production-ready system in 3–4 weeks.