If the agent jumps straight into pitching features without identifying the customer’s actual problem, the conversation can quickly feel scripted. The real opportunity is using AI to ask the right questions, understand intent, provide relevant information, and then bring in a human when the conversation requires more context or trust. AI should make the sales team more effective, not make the customer feel like they’re being sold to by a machine.

Ai can be used to identify audiences and their patterns but ultimately if a business want to cater for the needs of the audiences then they need to get a little bit hands on. Remember this are human beings or companies run by people and you can’t expect an AI agent to predict human behaviour.

I agree, especially with the point about AI not being able to fully understand human behavior. AI can spot patterns and qualify leads, but there’s still a big difference between recognizing a pattern and understanding why someone actually wants to buy. The best approach is probably to let AI handle the repetitive parts while keeping humans involved when the conversation becomes more complex or personal.

Another mistake, in my opinion, is assuming an AI agent should respond to every query. Knowing when not to push another feature, follow-up, or sales message can be just as important as knowing what to say, especially when a prospect simply needs time to think.

Exactly, I think the biggest mistake is making AI focus on selling instead of understanding the needs and wants of the customers.

I agree that one big mistake is making the AI focus too much on selling instead of understanding what the customer actually needs. AI works best when it helps prospects find answers quickly and then brings in a human when the conversation gets more complex.