logo
11

AI Customer Support & Sales

⏱️ 25 min

High-frequency pain points in customer service and sales: routing/prioritization, standard responses, record-keeping, and follow-up. AI can "classify first, then respond" and write records back to your systems.

1) Ticket / Lead Routing

  • Have AI do "intent classification + priority + escalation criteria":
You are a customer service routing assistant. Based on the ticket text, output:
- Intent classification (billing / technical / usage guidance / complaint / other)
- Urgency (high / medium / low) with reasoning
- Whether human escalation is needed (yes / no, explain why)
- Suggested response template ID
  • Output classification as JSON for automated write-back to ticket systems or Slack/Feishu notifications.

2) Standard Responses & Multi-Turn Follow-up

  • Have AI provide "first-response template + follow-up questions + follow-up reminder timing" based on classification.
  • For sales scenarios, request "objection handling scripts": List 5 likely customer objections and corresponding responses.
  • For sensitive scenarios (compensation / compliance), require AI to flag "paragraphs requiring human confirmation" to avoid unauthorized promises.

3) CRM / Notes Auto-Sync

  • Prompt example:
You are a CRM recorder. Input is a customer call/email summary.
Output fields: customer name / contact person / needs / budget / decision maker / timeline / next action / owner / risks.
Format: table, plus a 150-word summary.
  • For sales pipeline, ask AI for "stage assessment + next step suggestion + potential blockers."

4) FAQ / Knowledge Base Maintenance

  • Have AI extract high-frequency questions from chats/tickets and generate FAQ entries: question / standard answer / scope / last updated.
  • For multilingual customers, require AI to generate bilingual answers and flag "localization-sensitive terms / statements requiring legal review."

5) Quality & Compliance

  • Define "banned words / banned promises list": prices, compensation, legal terms must have human approval.
  • Require AI to output "answer source / unconfirmed info" for human review.
  • Before sending externally, have AI run an "emotion and politeness check + tone consistency" pass.

6) Practice

Take a real ticket or sales email. Have AI output: routing result + response draft + next action + CRM write-back fields. Check if it meets your service standards, then adjust the prompt.