Customer support is one of the most practical uses of AI. It can draft replies, summarise long conversations, suggest help articles and answer common questions around the clock. The key is using it to support people, not to frustrate customers.
Start with your knowledge
AI support is only as good as the information behind it. Before anything else, make sure your FAQs, policies and help articles are accurate, up to date and clearly written. Gaps in documentation become gaps in AI answers.
Useful ways to start
- Reply drafts: agents review and personalise AI-suggested responses.
- Summaries: condense long ticket histories so agents get up to speed instantly.
- Tagging and routing: categorise tickets by topic and urgency.
- Help centre writing: turn common questions into clear articles.
- Tone checks: make replies calmer and clearer before sending.
If you use a customer-facing chatbot
- Limit it to verified information and tell it to say "I'm not sure" rather than guess.
- Make it easy to reach a human, especially for complaints, billing and sensitive issues.
- Be transparent that customers are talking to an AI assistant.
- Never let it make promises about refunds or policies that aren't in your rules.
Protect customer data
Use tools with appropriate business data protections, and avoid pasting personal details into consumer AI apps.
Measure what matters
Track resolution time, customer satisfaction, escalation rates and how often AI answers needed correction. Review conversations regularly and update your knowledge base based on what customers actually ask.