How to Train Your AI to Ask Smarter Questions | 3.4 - AI Customer Service Masterclass
Автор: Customerly - AI for Customer Service
Загружено: 2025-08-01
Просмотров: 6
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🤖 Your AI Assistant Can’t Read Minds—Here’s How to Help It Dig Deeper!
Not every customer query comes with enough info to solve the issue upfront. That’s why your AI needs a smart system to ask the right follow-up questions—and that’s exactly what we’ll cover in this lesson.
You’ll learn how to use intents and missions to collect missing details, guide the conversation, and give your AI assistant a second shot at solving the issue—without instantly escalating to support.
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📌 What you’ll learn in this lesson:
• 🧭 Define specific intents like “Invoice Sending Issue”
• 💬 Set up missions to gather more context (like missing emails or error messages)
• 🔁 Let Aura loop back with the AI assistant once it has enough data
• 🔧 Troubleshoot with smarter, context-rich AI responses
• 🧠 Reduce manual workload and limit unnecessary escalations
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📈 Real Example: A user says, “I can’t send my invoice.” Instead of guessing or escalating, Aura asks targeted questions—detects missing data—and then hands it back to the AI assistant with the full context to resolve the issue effectively. 💡
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👉 Take it further:
Explore automation in-depth at academy.customerly.io
Get started with Aura at customerly.io
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