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How to automate customer support replies with an AI agent
I looked through 36 real cases about customer support replies and pulled out what people actually did, the prompts they used and the places it went sideways. No theory, no invented success stories.
What people actually do
- Draft replies and promo codes for L'Oréal support advisors
- Phone agents handle Anker's first-line support calls
- A Texas licensing agent answers in English and Spanish, any hour
- A city's two agents cut IT help-desk costs by 66%
- An airline's chat agent answers 120,000 questions a day
- Pull similar past complaints and fixes for quality handlers
- Work helpdesk tickets
- An energy firm's agent explains contracts to new customers
Browse all 1081 cases to see the rest.
Prompts to start from
These are the reusable prompts from real cases. Swap in your own details, run it once on something low-stakes, and read what the agent did before you trust it.
For each new support case, summarise the conversation so far, confirm what the customer actually wants, and draft a reply in our brand voice for me to review. Before I close the case, check that the case category matches the conversation.
Answer incoming support calls for my electronics shop: look up order status, check warranty, walk the caller through basic troubleshooting, and brief a human with the details before transferring when you cannot fix it.
Tools that show up most
Custom agent (4), n8n (3), Claude Code (2), Agentforce (2), Agentforce (Salesforce) (1), Retell AI voice agents (1).
Guardrails
Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.
More mess: the AI agent fails page. Related: the prompt library.