AI is changing how we work. Is your organization keeping pace with the trend?

Every day, your employees save time by using artificial intelligence (AI). They write faster, analyze more data and automate some of their tasks. But do these gains really change the way they work? If roles, processes and decision-making mechanisms remain the same, your organization may be missing out on much of what AI has to offer.

To fully exploit the technology’s possibilities, we need to reexamine how we use it. Instead of simply seeking to speed up existing tasks, we should reconsider their purpose, the order in which they are carried out and the allocation of responsibilities across teams.

Leaders now face the challenge of rethinking their work processes by capitalizing on the synergy between employees and technology. The goal is to align tasks with individual strengths so teams can devote more time to value-creating activities.

Redefining roles

Take, for example, a professional whose work includes reviewing documents, validating information or ensuring that all the required signatures are there.

AI could handle a significant proportion of these tasks, freeing the professional to focus on analyzing more complex situations, problem-solving or improving services. Their role would therefore evolve rather than necessarily disappearing.

Rethinking processes

Reviewing roles is only part of the solution. You must also examine how tasks connect, focusing not merely on accelerating individual steps but on simplifying the entire process as well, even if this means challenging established practices.

The introduction of AI agents adds a new dimension to the question. Agents differ from a tool that responds to a one-off request in that they can work toward an objective, carry out a sequence of actions and interact with multiple systems.

For example, an agent could collect data from several applications, analyze it, update a file and forward the result to the appropriate person. Operations that were once performed separately could thus be carried out in sequence without requiring human intervention at every stage.

This approach can shorten processing times and reduce handovers between teams. However, it requires setting clear boundaries: which actions can the agent carry out independently, when is approval required and who is accountable for the outcome?

You don’t need to redesign everything at once. You can start by reviewing one specific process, measuring the results and gradually applying the approach to other activities.

Better-informed decisions

Your organization already has access to abundant data, but your teams may lack the time or resources to analyze it and make the most of it.

Consider a leisure company struggling to fill its facilities on a day when nice weather is forecast, which should normally attract customers. By combining weather forecasts, pricing and spending patterns, AI could identify those customers most likely to respond to a special offer and suggest a targeted promotion, such as a 15% discount.

Cross-referencing these data points can reveal trends that might otherwise go unnoticed. By painting a more complete picture of the situation, AI can help you make better-informed decisions.

To reap the full benefits, however, you need to be able to act quickly. If every decision has to go through multiple levels of approval, you risk missing out on opportunities. It is therefore in your best interest to review responsibilities: who can make decisions, under what circumstances and with which safeguards?

Preparing your teams

All these changes can disrupt established routines. An employee who has been carrying out the same tasks for years may feel unsettled when asked to work differently. As a business leader, your responsibility is therefore not limited to introducing new tools. You must also help teams adapt as their roles evolve.

Start by identifying the positions most likely to change and the skills employees need to develop. Some may require stronger analytical, critical-thinking or problem-solving abilities, while others may need greater proficiency with digital tools or be ready to take on new responsibilities.

There is little value, however, in trying to predict exactly what each role will look like in three or five years, as technology is evolving too rapidly. Instead, you should reassess needs regularly and adjust responsibilities as changes occur.

You can also use the time saved thanks to AI to prepare for what comes next. For example, set aside a few hours each month for a departmental meeting to focus on improving a process. They will be able to identify unnecessary steps, suggest solutions and test new approaches. Transformation doesn’t just happen on its own; it requires time and effort.

The withdrawal test

To assess whether your organization is fully benefiting from AI, ask yourself what would happen if the technology disappeared from your operations overnight. Would your employees still essentially carry out the same tasks, follow the same processes and use the same decision-making approach?

If the answer is yes, AI has likely improved your organization’s productivity without fundamentally changing how work is done.

AI does not transform an organization on its own. It creates opportunities. The real impact depends on how far you are willing to rethink your ways of working.