Conseils IA

5 erreurs lors du déploiement d’un chatbot IA à éviter

2 June 2026  · 

AI chatbots are growing in popularity, but many deployments still end in frustration – for both the business owner (“the bot doesn’t work”) and customers (“I didn’t get any help”). After analysing hundreds of deployments, we’ve identified the 5 most common mistakes.

Mistake #1: Empty or skeletal knowledge base

This is the most common and most damaging mistake. A company deploys a chatbot, indexes the homepage or a single FAQ page, and expects miracles. Result: the bot gives vague answers or admits ignorance at every question.

How to avoid it: before you publish your chatbot, index at minimum:
– FAQ page (minimum 20 questions)
– Returns and complaints policy
– Pricing or product pages
– “About us” page with contact information
– Delivery terms

Mistake #2: Chatbot pretending to be human (and the customer finds out)

Giving the chatbot the name “Sarah” and hiding that it’s AI can backfire badly. When a customer discovers they were talking to a bot pretending to be human, they feel deceived.

How to avoid it: be transparent. “Hi! I’m the AIGoChat chatbot and I help answer questions 24/7. If you need to talk to a person, just let me know!” – this kind of welcome message builds trust rather than destroying it.

Mistake #3: No option to escalate to a human

Chatbots have limits. There are questions that require individual analysis, system access, or a business decision. If the bot gets stuck in a loop and the customer can’t reach a consultant – they give up and never return.

How to avoid it: set up a fallback message that appears when the bot doesn’t know the answer: “Sorry, that question is beyond my knowledge. Write to us at support@company.com or call +1 XXX XXX XXXX – we’ll reply within 2 hours.” In AIGoChat you can also set up automatic handoff to an agent.

Mistake #4: Outdated knowledge base

Changed your pricing? Added a new service? Changed delivery terms? If you haven’t updated the chatbot’s knowledge base, it will give out-of-date information. A customer orders thinking delivery is free – then sees a fee at checkout. Result: frustration and lost trust.

How to avoid it: set up automatic crawl refresh (weekly in AIGoChat). Create a process: every site change = chatbot update. You can also manually add Q&A with important current information.

Mistake #5: An overly aggressive bot – answers before the customer finishes typing

Some chatbots respond instantly to every keystroke, interrupting and bombarding the customer with messages. This is irritating and off-putting.

How to avoid it: AIGoChat waits until the customer sends their message and responds once, comprehensively. It doesn’t spam with notifications. Suggested questions (choice chips) let customers click rather than type – this reduces friction and improves experience.

Bonus – Mistake #6: Not monitoring results

You deployed the chatbot and forgot about it for six months? That’s a mistake. The first weeks after deployment are a gold mine of data: what questions customers ask, what the bot can’t answer, what phrases cause misunderstandings.

How to avoid it: check the daily email digest (AIGoChat sends it automatically) and visit the “Unanswered questions” section weekly. After a month of regular improvements you’ll have a chatbot that solves 95% of customer problems on its own.

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