56% of CEOs say that their companies have not yet recorded an increase in revenue or a reduction in costs resulting from artificial intelligence. The figure highlights a key gap: adopting tools does not, by itself, guarantee a financial return.
For small and medium-sized businesses in Mexico, closing that gap requires choosing projects linked to defined business or operational objectives. Automating a task or adding a platform makes sense if it helps solve an identifiable problem and its effect can be measured.
From investment to a testable hypothesis
Carlos Cardini of Konfront has pointed out that organizations should focus on specific business needs rather than pursuing innovations solely for their novelty. Gradual applications, such as automating appointments or supporting customer service through digital channels, can offer a more concrete starting point.
Before implementing a solution, it is advisable to define which process is to be improved, who will be responsible, and which indicator will make it possible to evaluate the change. Possible metrics include response times, appointments managed, or process costs, provided they correspond to the selected objective.
A limited pilot also makes it possible to test the hypothesis before expanding the investment. If the results are not related to the proposed objective, the company can adjust the process or reconsider the implementation instead of maintaining it without clear criteria.
Integration and measurement matter
Artificial intelligence can remain isolated if it is not connected to everyday work or to the information needed to operate. At Onix Board, we integrate CRM, CMS, multichannel conversational automation, and analytical dashboards; these capabilities make it possible to organize interactions and review the performance of workflows and channels.
The decision to scale should be based on evidence from the business itself: a defined use case, a suitable process, and observable results. For companies evaluating AI, starting with that combination can help direct investment toward improvements that can be verified.