How to Choose the Right Artificial Intelligence for Your Business

You know that little voice that tells you to try a new tool because it seems perfect, and right after that, another one pops up to hold you back, wondering what would happen if it responded poorly to a customer and ruined your reputation? It happens often when you discover artificial intelligence. The truth is, you don’t need a technician to figure out if that AI is ready for your business—but you do need a clear method. After all, our brains already simulate social interactions before they happen, and you can apply the same approach to a machine.

Why You Should Never “Launch and Hope” with AI

The most common mistake is treating AI like a traditional program. An ERP system always repeats the same operation, and a spreadsheet always returns the same result, whereas artificial intelligence learns from the data it’s trained on, and its behavior isn’t entirely predictable in advance. This changes how you need to evaluate it before adopting it. For this reason, when you speak with a vendor, ask them if they’ve conducted deployment simulations based on real, anonymized conversations. If the answer is vague or they simply reassure you by saying it works, that’s already a red flag you shouldn’t ignore.

How to Tell if AI Is Robust or Just a Toy

A reliable system doesn’t break down as soon as conditions deviate from the ideal. It works well when everything is orderly, of course, but in reality, messages arrive hastily typed, with typos, ambiguous requests, or written in dialect. If the AI struggles as soon as a customer misplaces a comma, it’s not a professional tool. Take, for example, a real estate agency that uses AI to qualify leads: a simple message like “Can you tell me if the apartment in the downtown area is still available?” might be followed by a much more detailed one in which the customer explains that they viewed the apartment the day before and want to show it to their wife early Saturday morning. Robustness is measured precisely in these cases—that is, in the ability to extract the right information without getting confused. Also check whether you can customize the tone of the responses, because if the AI is a black box and you can’t adapt it to the way you communicate with customers, it’s not suitable for a business.

The 30-day test: the minimum time required

Even the most advanced labs take up to 30 days to assess a model’s risks before releasing it to the public, and this isn’t just a whim. It takes time to observe how the system behaves in unexpected scenarios. For this reason, don’t stop at a demo that lasts just a few minutes—make full use of the entire free trial period. If you’re looking for a solution that lets you test automation on WhatsApp and your website for 30 days, Leader24 is an option designed for those who want to integrate AI without technical complications. The key is to have the system process real requests during those weeks—not just pre-written phrases.

Red Flags You Shouldn’t Ignore

Not all AI systems comply with regulations. The European AI Act of 2024 requires high-risk systems to comply with specific obligations, such as impact assessments, quality management, and continuous monitoring. Even if your business isn’t classified as high-risk, these requirements still serve as a guide for evaluating any provider. Before moving forward, ask how your customers’ data is handled, whether there’s a process for human intervention when the AI makes a mistake, and whether the system is transparent about what it can and cannot do. If the provider doesn’t answer these questions clearly, it’s best to walk away—because transparency isn’t optional.

How to Integrate AI Without Stressing Out Your Team

The goal isn’t to replace people, but to relieve them of repetitive, time-consuming tasks. A team stressed out by a new tool is a team that will abandon it in no time. To avoid this, introduce AI in small steps, starting with answers to the simplest and most frequently asked questions. Always keep a supervision channel open so that, if the system doesn’t understand a request, it immediately passes it on to a human agent. There’s no need to connect ten different tools: the ideal solution is a platform that combines AI live chat on your website with WhatsApp agents, so your team can manage everything from a single, hassle-free location.

The first step to take today (without spending a euro)

Don’t go looking for the perfect solution right away. Instead, grab a pen and paper and jot down the questions your customers ask most often, then look for an AI tool with a 30-day free trial. Enter those exact questions, using the same words your customers use, and see if the AI responds correctly without you having to correct every detail. If it already works on these simple requests, you’ve found a solid foundation to build on; if it gets them wrong, you’ve just avoided a bad investment.

Frequently Asked Questions

Do I need to be a tech expert to evaluate an AI?

No, you need to be an expert in your own business. You know your customers’ questions and what constitutes an acceptable answer, so use that knowledge to test the tool. If the AI seems inadequate to you—just as it would to a customer—you don’t need a tech expert to figure that out.

How long does it really take to test an AI?

At least 30 days. Any less than that, and you’ll only see the surface; in four weeks, edge cases start to emerge—like an angry customer, an after-hours request, or a poorly written message. These are the tests that really matter.

What should

I do if the provider won’t give me information about the tests? Switch providers. A company’s professionalism is also measured by the transparency with which it explains how it developed and tested its product, so if they don’t give you clear answers, they don’t deserve your trust.

Start with the five questions. It’s a ten-minute task that will save you months of frustration.

Leader24 Insights

If you’d like to learn more about how Leader24 addresses the topics covered, here are some resources to get you started:

• The sectors in which we operate
• Transparent pricing