You’re evaluating an AI email assistant for your team. The demos look great. The time savings are real. Your support managers are on board. Then someone asks: “Where does our email data actually go?” That’s the question that separates enterprise-ready tools from clever prototypes. Because you’re giving this tool access to your most sensitive business…
Gmail’s built-in Smart Reply is fine for “Thanks!” and “Sounds good.” But when a customer asks a detailed question about your product, pricing, or setup — and they need an accurate, complete answer — three-word suggestions don’t help. What you actually need is AI that reads the incoming email, finds the right answer in your…
Every company hits this moment: support volume is growing, agents keep answering the same questions, and someone says “We need an FAQ page.” A few weeks later, the FAQ exists — and nothing changes. The problem isn’t the FAQ. It’s that FAQs and knowledge bases solve very different problems, and most teams treat them as…
1. Set Clear Response Time Targets You can’t improve what you don’t measure. Start by defining what “fast” means for your team. Write these targets down. Share them in onboarding. When everyone knows the goal, they work toward it. 2. Use Templates — But Make Them Flexible Canned responses save time, but generic ones sound…
Learn how to structure your company knowledge base so AI generates accurate, context-aware customer support replies — not hallucinated guesses.
The Real Cost of Email Handling Here’s what it looks like for a typical 10-person support team: That’s €375,000 spent purely on reading and responding to email. For one team. Where the Time Actually Goes When you break down those 8 minutes per email, the split is revealing: Activity Time Share Reading and understanding 1.5…
