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FAQ Auto-Responder

Example prompt: "When a customer emails a question, check our FAQ docs for a matching answer. If the match confidence is high, auto-reply. Otherwise, create a support ticket and alert the team."

How to automate FAQ responses with GloriaMundo

The Problem

A large proportion of incoming support emails ask the same questions: how to reset a password, what your refund policy is, how to upgrade a plan. Each one still requires a support agent to read the message, look up the answer in internal docs, and compose a reply. For small teams, these repetitive queries crowd out the complex issues that genuinely need human attention. The customer waits hours for an answer that already exists in a help centre article they did not find.

How GloriaMundo Solves It

We build a workflow that triggers on incoming customer emails. An LLM step reads the customer's question and compares it against your FAQ documentation or knowledge base content. It returns both a suggested answer and a confidence score indicating how closely the question matches known FAQs. A conditional step checks that confidence score: if it is above your threshold (say 85%), the workflow sends an auto-reply via Gmail with the matched answer, formatted clearly and including a link to the full help article. If the confidence is below the threshold, the workflow instead creates a support ticket and posts an alert to the team's Slack channel so a human can handle it. Glass Box preview shows you the matched FAQ, the confidence score, and the draft reply before any email is sent, so you can tune the threshold and review the quality of matches.

Example Workflow Steps

  1. Trigger (webhook): Fires when a new customer email arrives in the support inbox.
  2. Step 1 (integration): Fetch the email content — subject, body, and sender address — from Gmail.
  3. Step 2 (LLM): Compare the customer's question against the FAQ knowledge base. Return the best-matching answer and a confidence score.
  4. Step 3 (conditional): If the confidence score is above the set threshold, proceed to auto-reply. Otherwise, escalate to the team.
  5. Step 4a (integration): Send an auto-reply via Gmail with the matched answer and a link to the relevant help article.
  6. Step 4b (integration): For low-confidence matches, post a message to the #support Slack channel with the original question and the closest FAQ match for human review.
  7. Step 5 (integration): Log all queries — auto-replied and escalated — to a tracking sheet so you can identify gaps in your FAQ coverage over time.

Integrations Used

  • Gmail — receives incoming customer questions and sends auto-replies
  • Slack — alerts the support team when a question cannot be confidently answered

Who This Is For

Support teams and customer-facing operations staff who deal with a high volume of repetitive questions and want to reserve human attention for complex or sensitive issues. Particularly useful for SaaS companies, e-commerce shops, and any team with an established help centre.

Time & Cost Saved

If 40-60% of incoming support emails are common questions with known answers, and each manual reply takes 3-5 minutes, a team handling 50 emails per day could save 1-2.5 hours daily on repetitive replies alone. Customers get instant answers instead of waiting hours. Over a month, that is 20-50 hours reclaimed for the support team to focus on issues that genuinely require expertise. The workflow uses LLM classification, conditional logic, and integration steps, costing a few credits per email processed.