AI Auto-Reply for Common Support Tickets
Draft and send AI-generated replies to common support tickets. Reduce resolution time for repeat questions while keeping humans in the loop.
The Manual Bottleneck
Your support team answers the same 20 questions every day, 50 times each. 'How do I reset my password?' 'What's your refund policy?' 'Why was I charged twice?' Writing that response for the 40th time is soul-crushing and keeps agents from tickets that actually need a human.
What changes when you automate this
OpenClaw reads each new ticket, matches it against your knowledge base, drafts a personalized reply, and either sends it automatically or queues it for one-click approval. Common ticket resolution time drops from hours to minutes.
Tell OpenClaw: 'For every new support ticket, check if it matches our Notion knowledge base — if confidence is above 90%, send the reply automatically; if 60–90%, queue it as a draft for agent review; if below 60%, route to a human.'
Here's exactly what happens
Receive and parse the ticket
Webhook / HubSpotNew tickets arrive via webhook. OpenClaw extracts the full message, customer name, account status, and any relevant order or product data that will personalize the reply.
Match against your knowledge base
OpenAI / NotionAI compares the ticket against your knowledge base — a Notion doc, Google Sheet, or plain text FAQ list. It determines whether a confident automated response is possible and what template fits best.
Draft a personalized response
OpenAIIf a match is found, AI writes a response using the right template, the customer's name, and account-specific details — order number, plan type, last charge date. It mirrors your brand voice.
Send or queue based on confidence
Mailchimp / SlackHigh-confidence matches (>90%) send automatically. Medium-confidence drafts queue for agent review and one-click send. Low-confidence tickets route to a human — no AI draft, no risk.
Log everything for improvement
Airtable / Google SheetsEvery auto-reply attempt logs with the confidence score, template used, and whether the agent accepted or modified the response. This data feeds prompt refinements over time.
Frequently Asked Questions
Done For You Setup
We build your automation. You run it.
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