Artificial intelligence does not remove the role of project managers: it changes how they allocate their time. Experts convened by the Pacific Chamber noted that these tools should be used to automate operational and repetitive activities, while people retain responsibility for strategic decisions and teamwork.
This distinction is relevant for any organization looking to adopt AI without losing control of its projects. Technology can accelerate information logging, task tracking, and report preparation, but leadership requires interpreting context, setting priorities, resolving conflicts, and aligning work with business goals. The Project Management Institute also notes that AI value increases when it frees capacity to think, communicate, and lead, without supplanting human judgment.
The problem: too much operation, too little time to lead
Project managers often coordinate tasks, owners, dates, conversations, progress, and outstanding items at the same time. When this information remains dispersed, a large part of the day is spent updating records, sending reminders, or reconstructing the status of a task, rather than addressing matters that require expertise and judgment.
Automation does not mean delegating all decisions to a system. It means identifying steps that follow clear rules and can be executed with less manual intervention, as well as defining which situations should be escalated to a person.
The evidence: AI works best as supervised support
AI-managed projects require combining automation, organized data, and responsible leadership. PMI notes that professionals should integrate these tools into their workflows, but maintain solid management, oversight, and human accountability practices.
In practice, a workflow can automate information capture, classify a request, generate a task, trigger a reminder, or draft a document. The manager retains the ability to review the result, adjust priorities, assign responsibilities, and decide when a situation requires direct communication or specialized analysis.
How to integrate AI into project management
- Identificar una actividad repetitiva y establecer qué resultado se espera de la automatización.
- Centralizar tareas, responsables, conversaciones y fechas para evitar duplicidad de información.
- Definir puntos de revisión humana antes de ejecutar acciones sensibles o comunicar decisiones.
- Medir tiempos de respuesta, tareas automatizadas, pendientes y cumplimiento de actividades.
- Ampliar el flujo únicamente después de comprobar que aporta valor operativo.
Onix Board allows organizing projects, tasks, owners, and dates on control boards. It also integrates automations to trigger responses, reminders, or subsequent steps, along with analytics to review flow performance. The platform can also connect conversations, contacts, and activities within an organized operation, so the team retains the necessary context to follow up.
The approach is to start with a concrete use case, such as tracking outstanding items, coordinating conversations, or assigning tasks. Based on observed results, each organization can adjust the process and decide which other activities are worth automating.
The conclusion: automate the operational to strengthen strategy
Artificial intelligence adds greater value when it reduces repetitive work without taking people away from important decisions. In project management, this allows managers to devote more attention to leadership, communication, problem solving, and strategic direction.