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An AI support agent answers customer questions from your knowledge base, troubleshoots common issues, and transfers to your team when it can’t help. The knowledge base is the most important part — spend time on that. Estimated setup time: 25-30 minutes

Prompt


Knowledge

This is the most important part. Create a knowledge base with folders for:
  • Product FAQ — the questions customers ask most
  • Troubleshooting — step-by-step guides for common issues
  • Policies — returns, refunds, warranties, SLAs
  • Account Help — login issues, password resets, account changes
  • Pricing & Billing — plans, charges, payment methods
Write knowledge items the way a support agent would explain them — clear, step-by-step, using the words your customers actually use.

Tools


Analytics


Notifications

Set up an escalation alert:
  • Trigger: “The agent did not resolve the customer’s issue and it needs follow-up”
  • Recipients: support@yourcompany.com
  • Template: Include {{conversation_summary}} and {{conversation_url}}
  • Create Task: Enable with High priority

Deploy

  1. Test with common support questions — verify knowledge base answers are accurate
  2. Test escalation — make sure transfers connect
  3. Test edge cases — ask something outside the knowledge base
  4. Assign to your support phone number
  5. Monitor closely for the first 50 calls

After Launch

  • Review failed resolutions first — what couldn’t the agent answer?
  • Add new knowledge items for recurring unanswered questions
  • Use Quality Studio to flag and track systematic issues
  • Check the Customer Satisfaction insight trend weekly
  • Aim for 60-70% first-call resolution — that is a strong baseline

Next Steps

Knowledge Base

Build your support knowledge base

Transfer Tool

Configure escalation routing

Quality Studio

Track and resolve issues

Post-Call Automation

Set up escalation alerts