The biggest mistake brands make with AI in customer support is focusing on ticket deflection and cost savings. The goal isn’t just to replace human agents with a chatbot. A truly effective AI strategy makes your human team better and transforms support from a reactive cost center into a proactive engine for customer loyalty and revenue.
Of course, the popular view is tempting. When you're drowning in support requests, the idea of an AI that can handle a huge percentage of them automatically seems like a lifesaver. On the DTC Podcast, Kevin Gould talked about how Glamnetic used the Gorgias platform to achieve a massive deflection rate, and Mike Wu of Monos spoke on the same show about the sheer efficiency gains. The promise is a dramatic reduction in payroll and 24/7 availability. This leads brands to chase customer service automation as the primary goal, measuring success by how many customers don't end up talking to a person.
The problem is, this approach often creates a frustrating and generic customer experience. As Vladimer Botsvadze cautioned on The eCom Ops Podcast, relying solely on automation can alienate customers who need genuine care. We’ve all been trapped in a chatbot loop, unable to get a straight answer to a slightly complex question. This is because most deflection-focused bots are just glorified FAQ pages. They can't truly understand customer intent, a point Shauli Mizrahi emphasized when explaining the power of AI-powered concierges. Building a truly intelligent system is also much harder than it looks. The team at The eCommerceFuel Podcast shared a story about their own failed first attempt at building an "AI brain," which shows that a cheap, surface-level implementation often falls short.
The smarter approach is to use AI for augmentation, not just automation. The goal shifts from replacing your team to giving them superpowers. Instead of deflecting a customer, an AI can instantly provide your human agent with the customer's entire order history, identify the issue, and suggest the exact right answer. This frees up your team from hunting for information and empowers them to provide faster, more personalized, and more effective support. As discussed on the DTC Podcast episode with Payne Glasses, it's about finding the balance between automated efficiency and the critical human touch.
This is where the strategy shifts from reactive to proactive. Romain Lapeyre, Gorgias's co-founder, framed this as the key differentiator. Instead of waiting for a customer to ask "Where is my order?", a truly integrated AI can flag a shipping delay from your 3PL and automatically notify the customer with a personal-feeling message. On Ecommerce Coffee Break, Dom Steil explained how modern AI agents can now go even further, autonomously processing returns or order changes directly in your backend systems like Shopify or your ERP. This is what turns support into a genuinely positive experience. You're not just answering questions; you're solving problems before the customer is even frustrated enough to ask.
Ultimately, you should use AI for the simple, repetitive tasks it excels at. This allows your human team to focus on the complex, high-value conversations that build relationships and drive customer loyalty. It’s about leveraging AI to create a support experience that your competitors, with their cheap and frustrating chatbots, simply can't match. This becomes a real competitive advantage.
