Answer common customer questions from your help docs
The problem
The same questions are answered manually dozens of times a day.
How the agent works
A support agent grounded in your help center and policies answers customers directly in chat or email, cites the article it used, and hands off to a human when unsure or when the customer asks.
Setup steps
- Clean up and update help-center articles first
- Connect the knowledge sources
- Define handoff rules (billing disputes, angry customers, legal)
- Test against 50 real past tickets
- Launch on one channel, then expand
Tools that can do this
- Intercom Fin
- Zendesk AI agents
- Decagon
- Sierra
Not ranked and not sponsored. Check each vendor's current features and pricing.
Human in the loop
Clear handoff to humans; review flagged conversations.
Risks and guardrails
Answers are only as good as your docs; never let it invent policy or refunds.
ROI notes
Deflects repetitive questions so humans focus on complex cases. Vendors often price per resolution, so model cost against your volume.
Also useful: answer security questionnaires from the same docs.
Related playbooks
Triage and tag every support ticket
Tickets land in one queue unlabeled, so urgent issues wait behind password resets.
Process routine refund and return requests
Simple refund requests require an agent to check order data, policy, and then click through several systems.
Turn support tickets into a weekly voice-of-customer report
Product teams don't see patterns hidden across hundreds of tickets and reviews.