Artificial intelligence is already part of the operations of 48% of companies in Mexico, according to an investigation by Strand Partners for Amazon Web Services. However, only 13% of organizations have reached an advanced level of adoption, highlighting a considerable distance between experimenting with the technology and turning it into business capability.
This gap matters because using a virtual assistant or generating content automatically does not guarantee sustainable improvements. To achieve productivity results, customer service, logistics or sales, companies need to connect AI with defined processes, reliable information, trained staff and metrics that allow evaluating its impact.
Initial adoption does not equal transformation
Growth of enterprise AI is concentrated in practical applications. E-commerce uses it to improve user experience and optimize logistics operations, while financial sectors rely on these tools to support processes such as fraud detection. In Sonora, the maquiladora and manufacturing industry stands out for using it in the supply chain and quality control.
Nevertheless, implementation can stay at isolated tasks if there is no integration strategy. The National Chamber of Commerce has noted that advancing requires more than introducing conversational solutions: it also involves investing in training and restructuring software to improve real processes.
Lack of familiarity, concerns about electronic fraud and fear of data theft can also delay adoption. Therefore, guidance, training and security controls are necessary conditions for companies to incorporate AI without compromising customer trust or business continuity.
How to move from testing to results
A structured implementation can begin with high-volume processes and specific objectives. Before expanding a solution, it is advisable to identify repetitive tasks, assign responsibilities and establish indicators related to response times, service quality, error reduction or generation of commercial opportunities.
- Priorizar casos de uso concretos en atención, ventas, marketing, inventarios o logística.
- Centralizar conversaciones y datos para evitar operaciones fragmentadas.
- Capacitar al personal para supervisar, corregir y aprovechar las herramientas.
- Aplicar pilotos controlados antes de escalar una implementación.
- Medir resultados con paneles e indicadores vinculados al negocio.
At Onix Board we help companies advance with connected operations through multichannel conversational automation, unified inbox, AI-assisted content generation, e-commerce management and analytical dashboards. These capabilities allow automatic and human support to be integrated, information centralized and performance evaluated by flow and channel.
The difference between using artificial intelligence and leveraging it strategically lies in the ability to turn a tool into a repeatable, supervised and measurable process. For Mexican companies, the next step is to move beyond isolated experimentation and build adoption aligned with their operational objectives.