AI and agentic operations

How they are transforming companies and services

Artificial intelligence (AI) is no longer an experiment or a future technology. It is already the factor that separates growing companies from those standing still. The agentic approach that has emerged over the past six months is so far the most significant transformation in how AI is used, and it is reshaping the entire operating field.

Instead of AI merely answering questions or producing text, it now plans, makes decisions, initiates actions, and completes tasks independently. The ability to operate end-to-end in a digital environment changes the very nature of AI and opens up opportunities for leaders that were impossible just a few years ago.

What does agentic operation mean in practice?

Until now, AI has been reactive. It has been given an input and produced an answer. The quality of the answer has largely depended on the user's ability to frame the question correctly — to prompt well. Agents work differently. They are given a goal and constraints, and from there they break the matter down into sub-tasks, identify the specialist agents and skills needed to complete it, use tools and information systems, check the results, and proactively correct course when needed.

Agents are already used in many companies to handle important tasks that support the core business, such as:

Handling complaints from customer feedback all the way to possible compensation.
Supporting sales by analysing customer data, identifying the most promising leads, and sending outreach at the right moment.
Supporting the finance process by monitoring cash flow, flagging anomalies, and proposing corrective actions.
Assisting in recruitment by screening applications, scheduling interviews, and preparing background materials for recruiters.

Decisive business benefits

Cost efficiency without compromising on quality. Agent-based AI handles repetitive tasks faster and more accurately than a human, and it does not keep shifts or require breaks. When led well, this means lower costs, better productivity, and people being free to focus where they add the most value — innovation, goals, strategy, and building customer relationships.

Companies that adopt agents among the first build a competitive advantage that is hard, or even impossible, to close later.

Scalability without major resource additions. In the traditional growth model, expanding a customer base means adding more staff to serve it. In the agent-based model, growth does not require a matching increase in resources. The same agents can serve a hundred or a hundred thousand customers with equally high quality.

The growth logic of companies changes dramatically as a result. Expansion to new markets or customer segments no longer faces the same constraints.

Insight and speed for decision-making. Agents do not only carry out the tasks assigned to them. They can also continuously produce information about what works, what does not, where bottlenecks lie, and where opportunities hide. This gives the leadership team better real-time situational awareness, without manual reporting. Going forward, speed is an increasingly critical competitive advantage. The company that sees a market shift first and reacts fastest wins.

Where should you start?

The biggest obstacle to adopting agentic AI is not technology. It is that companies do not know where to begin. The matter can be approached very simply:

Identify repetitive tasks (processes) that consume a lot of human effort and time.
Choose one such task as a pilot where you can measure results clearly.
After a successful pilot, expand in a controlled way.

In the era of agents, experimenting is easier and safer. If a chosen experiment or pilot does not work, the time and resources spent have been reasonable, and reverting to the previous way of working can be done in an instant. Trying out a new alternative can also be done right away. That is why the most important thing is to start. Companies that wait for the perfect moment or perfect understanding give their competitors too much of a head start.

The leader's role changes

Agentic operation does not remove leadership — it changes it. The leader of the future does not lead processes; they increasingly lead the direction and goals of the company or service. They decide where to deploy agents and how results are measured, and they ensure that agents are given values and boundaries and that their operation and environment are governed. At the same time, they lead people's competencies and the company's capability in this new operating environment.

This requires that leadership teams understand enough about how AI agents operate, where they can be used wisely, and where humans are irreplaceable. The key point is that leveraging AI agents is not a technology question or a task for the IT department — it is a critical part of the business and its leadership.

What next?

It is already clear that AI and agentic operation are not just a trend. They are a structural change in how work is done, how companies grow, and how value is created. The question is not when you should start leveraging agents, but where they will produce the greatest business benefit and competitive advantage. Are you and your company part of this change, or will you be a bystander?

AI and agentic operations — how they are transforming companies and services