More time to lead: the smart use of AI in everyday management.

An important part of a manager's day is spent turning thinking into communication, that is, answering emails, preparing meetings, organizing guidance, building presentations and explaining decisions. These activities demand attention and can take up significant time between understanding a situation and putting an action in motion.

Generative artificial intelligence can help precisely in that gap. Based on instructions and information provided by the professional, it can produce a first version of a text, organize ideas and present alternatives for evaluation.

At Rooter Medical, we encourage this use among our leaders. We see the tool as an opportunity to streamline processes and support more organized execution, while preserving the responsibility of those who lead the work.

The starting point is the manager's thinking

A simple example is writing an email.

The manager knows the situation, knows what needs to be communicated and understands the relationship with the person who will receive the message. They can explain to the AI the context, their perception, the goal of the reply and the desired tone, including through a voice conversation.

With this guidance, the tool helps turn reasoning into a structured message. It is up to the manager to review, adjust and confirm that the text represents what they want to say.

This process makes it possible to preserve the intent and style of the person communicating, with less time spent building the first version. To work well, however, it requires clarity. What is the problem? What needs to happen? Which information is confirmed? What care does this conversation require?

Organizing these answers is part of a leader's work. It is also possible to use the AI itself to explore questions and structure a thought that is still taking shape, as long as the professional recognizes what needs to be clarified before acting.

Practical applications for a leader's routine

Beyond communication, generative AI can support different management activities:

• Meeting preparation: organizing an agenda based on the purpose of the meeting and the decisions required.
• Action plans: turning guidance into steps, suggesting a structure of owners, deadlines and follow up for validation.
• Weighing alternatives: comparing paths according to criteria defined by the manager and raising questions that deserve investigation.
• Guidance for the team: making an explanation clearer and better suited to its audience.
• Organizing information: summarizing authorized materials, highlighting points that need to be checked.

These are applications that can reduce preparation effort and make it easier to move from intention to execution.

The value appears when the result helps someone better understand a piece of guidance, resolve a pending issue or arrive at a meeting with the right questions.

Deciding with agility requires reliable information

AI can help organize the elements of a decision and point out aspects the manager has not yet considered. The quality of that contribution depends on the information available and on the review carried out by the professional.

A well written answer may contain errors, omissions or nonexistent references. NIST, the US National Institute of Standards and Technology, identifies this risk in its guide on generative AI and highlights its relevance in decisions with important consequences. That is why numbers, sources, assumptions and recommendations must be verified according to the importance of the task. In healthcare, technical information and decisions that affect people require special attention.

Responsibility for the communication, the decision and its effects remains with the professional and the organization.

Leadership sets the example and develops the team

Encouraging the smart use of AI involves showing concrete applications, sharing lessons learned and guiding how answers are reviewed.

Leaders who use the tool with good judgment can help the team develop the same ability, such as explaining a request better, evaluating a suggestion, spotting an inconsistency and improving a deliverable.

It is important to create room to learn. Familiarity with technology varies among professionals, and development happens through guidance and practice.

It is also worth tracking whether the use is bringing real benefits: have messages become clearer? Has meeting preparation improved? Has there been less rework? Are actions being carried forward more consistently?

These questions help connect the adoption of technology to the needs of the operation.

Gaining time to manage better

The time saved preparing a text or organizing an agenda can be devoted to listening to the team, following up on a deliverable and resolving a bottleneck.

That is the meaning of the encouragement we stand for at Rooter Medical: bringing artificial intelligence into the routine with purpose and responsibility, expanding the ability to work with clarity and quality.

Smarter execution begins when the manager can turn their knowledge into guidance, review what was produced and lead the next step.

The tool contributes, but it is leadership that sets the direction, brings critical judgment and answers for the result.

References

1. National Institute of Standards and Technology. Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST AI 600-1). 2024. DOI