How to Train AI Assistants with Real Conversations

Sourcing and curating conversation data to make AI suggestions actually useful.

Why This Matters

Human + AI is the new dream team for customer support. Here's how to make it work.

Understanding the common pitfalls is the first step toward avoiding them. Let’s get real about the challenges.

The Hard Part

AI is powerful, but it lacks a key ingredient: human judgment. The trick is to blend them.

These issues usually stem from scaling pains—what worked for a small team starts to crack under pressure.

A Smarter Way

The goal of AI should be to give agents superpowers—like instantly knowing a customer’s history or finding the right answer in a sea of documents.

This mindset shift is key: it’s about balancing structure with the human touch.

How to Start

Begin with small, practical steps. Quick wins build momentum and prove value.

For example, you could try one of these: Enable an AI-powered response suggestion tool for your team internally. Let them see what the AI suggests and use it as a starting point, not a final answer.

Is It Working?

Measure what matters. Success isn’t just about numbers; it’s about impact.

Monitor how often agents use the AI suggestions. Are they helpful? Is the quality improving?

The Takeaway

AI is a powerful tool, but it’s just that—a tool. In the hands of a great team, it can be transformative.

The most successful support teams treat excellence as a journey, not a destination. Keep learning, keep improving.