The unauthorized use of artificial intelligence tools by employees, known as Shadow AI, is creating operational and security vulnerabilities in companies that lack clear policies or technological governance.
The problem is not limited to choosing which applications staff can use. It also involves knowing what information is shared, who has access to it, what processes rely on external services, and how to respond to an incident. Without that visibility, AI adoption can advance faster than the organization's ability to govern it.
A WatchGuard investigation reported that 64% of employees use AI tools without authorization to perform their work. In Mexico, experts have warned that informal use of these platforms can expose strategic information, cause errors in internal processes, and complicate technology management.
The risk arises when technology operates outside of controls
Among the most frequent causes are the pursuit of immediate productivity, lack of training, and the absence of easy corporate alternatives. When teams resort to personal accounts or uncontrolled services, the company loses the ability to set permissions, log activities, and determine which data was sent to third parties.
The United States National Institute of Standards and Technology has noted that adopting AI systems requires addressing cybersecurity, privacy, identity, and authorization risks. These considerations are especially relevant when tools can query data, execute tasks, or integrate with enterprise applications.
Governing AI requires measurable processes
The answer is not solely about prohibiting AI. Organizations need to identify priority use cases, classify the information that can be processed, define responsible parties, and establish auditing mechanisms before bringing automation into production.
- Delimitar qué datos pueden utilizarse en cada flujo de trabajo.
- Establecer permisos y registros para rastrear accesos y actividades.
- Ofrecer herramientas corporativas autorizadas como alternativa a las cuentas personales.
- Probar los procesos en entornos controlados antes de ampliarlos.
- Medir tiempos de respuesta, errores, productividad y resultados operativos.
At this point, a centralized operation can reduce fragmentation. Onix Board integrates multi-channel conversational automation, unified inbox, e-commerce management, AI-assisted content creation, and analytical dashboards by flow and channel. These capabilities allow concentrating interactions and observing process performance from a single platform.
The platform also enables combining AI agents with human oversight when a request requires specialized intervention. This approach helps maintain supervision over automated tasks, though configuring permissions, internal policies, and security controls should be part of each company's overall strategy.
From dispersed adoption to controlled operation
Shadow AI reveals a gap between the speed at which employees adopt new tools and the organization's ability to oversee them. To close it, companies need to combine training, clear rules, authorized alternatives, and systems that offer traceability.
Onix Board can be part of that transition by centralizing conversations, automations, and analytics in a single environment. The next step for organizations is to assess their critical processes, define indicators, and validate a controlled implementation before scaling the use of AI.