A well-built chatbot pays for itself in a week. A bad one can quietly drive customers straight to your competitors. After auditing dozens of deployments, here are the five mistakes we see most often — and the fix for each.

1. Trying to handle 100% of conversations with a bot

Bots are best at triage, FAQs, and data collection. They’re not a substitute for a human on a high-intent sales call. The fix: design a clear escalation path. If a customer says “I want to speak to a person” or expresses frustration, route them instantly.

2. Generic, robotic responses

If a customer can tell it’s a bot from the first message, you’ve already lost trust. Modern LLMs (the same tech behind TuBot) are capable of brand-specific voice, multilingual replies, and conversational memory. Don’t ship a 2018-era decision-tree bot and call it AI.

3. No fallback when the bot doesn’t know

“What’s your return policy for an item I bought 14 months ago with a gift receipt?” If your bot says “I don’t understand,” you’ve wasted the customer’s time. Give the bot a real fallback: search your knowledge base, then escalate.

4. Forgetting WhatsApp’s 24-hour rule

On WhatsApp Business API, you can only send free-form messages within 24 hours of the user’s last message. Outside that window, you need a pre-approved template. Bots that ignore this get the number banned.

5. No analytics

If you don’t know your deflection rate, your most-asked questions, or your escalation triggers, you can’t improve. TuBot ships with a dashboard that shows exactly which conversations the bot resolved, which ones it didn’t, and why.

The common thread

Every mistake on this list is a symptom of treating the chatbot as a static script instead of a system that learns. TuBot is built to be the latter — and to plug into the rest of your stack, not live in a silo.

Chat with our team and we’ll audit your current bot for free.