Will AI Assistants Replace Human Client Managers?

Hello, community! In some verticals, feedback plays a decisive role in getting conversions. A potential user expects to be helped with making a purchase. And of course, sometimes this is much more difficult than it may seem at first glance.

Can AI agents handle this task, especially when today there seem to be even more of them than live managers? Let’s figure it out.

Before we start, let’s recall that we have already talked about how to optimize ad campaigns using AI. Highly recommended reading!

A manager is not just a “talking head”

Let’s start with the key point. The problem with AI agents is far from the fact that they provide poor consultations or assist traffic badly. On the contrary, many modern bots sometimes handle this even better thanks to automation.

If a person is interested in some default question, they simply click one of the suggested buttons and get all the necessary information. And all of this happens in a live chat window, which creates the illusion of real communication.

However, the manager’s task is to work with traffic, not just answer questions. And this is a much more complex job. A live assistant must be able to push the client when necessary, build trust, establish communication, and spend a bit more time in order to get significantly higher profit in the future.

So it would probably be more accurate to say that a manager is more about traffic processing than about direct communication and customer support. And it is exactly the high-quality work of such a manager that can generate massive profit and help scale in the future. But does this mean we should abandon AI agents? Of course not.

What is the advantage of AI assistants in traffic processing?

Artificial intelligence is developing rapidly. And it is quite possible that by the time you read this material, AI will be even more advanced than when we are writing it.

At the moment, there are two types of AI assistants on the internet:

1. Chatbots. The most basic option, easy to launch. Requires minimal resources but also offers very limited functionality: only pre-prepared options, replies, and so on;
2. AI agents. Usually based on large language models (LLMs). For example, GPT-NeoX (not to be confused with ChatGPT). They are already able to “understand” people and even become “smarter” during operation. However, they still do not work perfectly and require time for improvement.

Of course, for serious projects, no one uses basic chatbots anymore. They may not only fail to convert traffic but can even scare it away. It is impossible to make a person leave their money—especially large sums—without properly pushing them toward the decision.

AI agents are much more flexible in this regard. Many users may not even realize that they are communicating with a neural network. And this is already a big plus. They influence conversions much better than chatbots. However, the lack of empathy, human qualities, and experience sometimes prevents them from closing a client that a live agent could push through in just a few minutes of communication.

AI assistant as a filter

However, there is an ideal compromise today. Some affiliate marketing teams use a combination of AI + a live traffic processor. It works as follows:

• The AI model is trained to understand in which cases it is better to call a live person;
• During “communication,” the algorithm analyzes what the user is writing and then decides whether it makes sense to transfer them to a manager.

There are many caveats here, since it is impossible to predict all possible cases. However, the key feature of LLMs is that AI based on this core is very easy to train. And the longer you use this combination, the more cases pass through it, the better it becomes for the business.

And let’s not forget about scaling. All accumulated experience can later be extrapolated to other projects. So using an AI assistant as a filter can significantly help with future scaling.

Conclusion

Artificial intelligence still cannot fully replace humans in certain positions—although it is trying hard to do so. Nevertheless, neural networks do an excellent job with the tasks they were originally created for: helping people.

In our context, however, they help affiliates more than end users. We do not expect empathy from an AI assistant, but many consumers do need it. That is why we need AI to filter users and transfer them to us only when the conversion truly depends on live communication. And today, this works perfectly in many large companies.

Do you trust AI assistants? Share how you were romancing ChatGPT while it was still possible in our Telegram community, the most tolerant affiliate marketing community in Ukraine.

Sincerely, your still-not-artificial Geek!

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