Artificial intelligence has allowed us to improve the way we carry out our tasks; we rely on it to do everything faster and better. The potential of this technology seems limitless, and we can use it to solve problems of almost any kind.

However, like everything in life, it is not free from failures or mistakes. We can ask AI about any topic to get information—especially on subjects we don’t know much about—but in this post, we want to address the use of artificial intelligence for the development or implementation of your ERP, and the potential mistakes you may encounter.

First, we need to be aware that AI is just another tool, although a very powerful one. And as a tool, we must use it responsibly. Since this is a relatively recent topic, it’s understandable that most of us don’t yet know how to handle it. Moreover, based on our own experiences and those of people around us regarding the misuse of AI for ERP implementation, we want to share some advice on when to trust your developments and questions to the answers provided by artificial intelligence.

Common Mistakes When Using AI

Let’s go over some mistakes to avoid when making use of artificial intelligence:​

1. Eliminating critical analysis. We use AI to reduce our workload, but what we cannot do is avoid the task of being critical of its responses. Just like with a subordinate to whom we delegate a task, we must supervise its work and also analyze whether the work delivered is correct.
2. Over-relying on it for unknown topics. The big advantage of tools like ChatGPT is that they give us an answer to our exact question at minimal cost. Moreover, they do so with full confidence—even when the answer is wrong. However, we must assess the risks of applying the provided solution. If it’s a task where the negative consequences are very limited, we lose nothing by trying it, but if the costs could be high, we should carefully validate it against verified information to avoid unpleasant surprises.
3. Forgetting biases and limitations. We must not forget that artificial intelligence is nothing more than an algorithm developed and trained with data. The quality of the development, the model design, and the selection of training data directly influence its success. We need to understand this in order to frame our questions in the best possible way.

Mistakes AI Makes with Odoo

1. Lack of updated information and version mix-ups. The Odoo community evolves very quickly: every year a new version is released with significant changes. AI often responds with outdated information or mixes concepts from different versions. This can create errors that are hard to detect unless validated against official documentation.
2. Not understanding the broader development context. Odoo is not a standalone system: every installation depends on the modules installed, the localization, company configuration, and deployment environment. AI usually provides generic solutions without taking this ecosystem into account. As a result, the suggested code may fail or not fit the reality of a specific project.
3. Inventing modules or confusing OCA ones. The OCA maintains thousands of modules, but AI does not always know the real catalog. It’s very common for it to suggest non-existent module names or to mix features from different repositories. It may also confuse standard Odoo modules with OCA ones.

Our Personal Recommendation​

We suggest using AI wisely. That means taking the answer it provides and then always cross-checking it. With its response, we can search much faster and more effectively.

Conclusion

As we can see, technological tools—including artificial intelligence—are not free from errors. This is why we advocate responsible use and, when using it for ERP implementation, always verify information against official documentation and trusted sources. Finally, it’s highly advisable to seek help from professionals in the field to obtain a correct and reliable assessment, avoiding major issues and unnecessary extra costs.