Beyond Generative AI: How Agentic AI Is Transforming Business Processes
Businesses today are facing several pressures at once. Customers expect faster responses, operating costs continue to rise, and teams are often expected to accomplish more with the same resources. In this context, improving productivity is no longer simply a matter of efficiency—it has become a growth imperative.
Over the past few years, generative AI has helped many organizations save time on tasks such as writing, information research, and content creation. For many businesses, this first wave of adoption confirmed that artificial intelligence could deliver tangible benefits in day-to-day operations.
But a new stage is already emerging: agentic AI.
What Is Agentic AI?
Agentic AI refers to a form of artificial intelligence that can not only generate content, but also take ownership of an objective, execute actions, and interact with different systems to move a business process forward.
Unlike generative AI, which responds to a request made by a user, an AI agent can analyze a situation, plan the necessary steps, access external tools, and perform certain tasks autonomously based on predefined rules.
As Eric Murray, Eng., Director of Innovation at Kezber, explained at Salon Connexion 2026:
“Automation follows fixed rules. Generative AI acts as a personal assistant. Agentic AI can execute tasks, take action, and work toward an objective.”
Generative AI vs. Agentic AI: What’s the Difference?
Generative AI is primarily used to create content: emails, reports, presentations, summaries, or computer code.
Agentic AI, on the other hand, focuses more on processes. For example, generative AI can draft a response to a customer. An AI agent can analyze the request, retrieve relevant information from an internal system, prepare the response, and trigger the actions required to process the request.
The difference may seem subtle, but it fundamentally changes how organizations can use artificial intelligence.
Why Are Businesses Interested in Agentic AI?
The growing interest in agentic AI can be explained by several challenges organizations are currently facing:
- rising operating costs;
- labour shortages;
- increasing customer expectations;
- pressure to improve productivity;
- growing volumes of information to process.
For many business leaders, the challenge is no longer simply to work faster. It is about finding ways to support growth without necessarily increasing headcount at the same pace.
Where Does Agentic AI Create the Most Value?
The first use cases are often simpler than you might think.
Businesses are already using AI agents to:
- handle customer requests;
- qualify leads;
- analyze invoices;
- classify documents;
- prepare administrative follow-ups;
- synchronize information across different systems;
- assist HR teams with certain repetitive tasks.
Individually, these activities may seem minor. Collectively, however, they represent a significant portion of the time spent on day-to-day operations.
People Remain at the Heart of Business Processes
One of the most common myths about AI is that it will completely replace employees.
In reality, the most successful projects are generally those in which people continue to play a central role in supervision, validation, and decision-making.
AI agents handle repetitive tasks. Employees remain responsible for business judgment, exceptions, customer relationships, and strategic decisions.
The goal is therefore not to replace human expertise, but to allow people to focus on the activities where their expertise creates the most value.
Agentic AI: A Natural Evolution of Business Processes
Generative AI has demonstrated that there are new ways to work. Agentic AI now enables organizations to go further by directly improving their business processes.
For businesses looking to increase operational efficiency, reduce certain delays, and make better use of the resources they already have, this evolution represents a tangible opportunity for improvement.
The question is no longer whether artificial intelligence will have an impact on organizations. It is about identifying which processes could benefit from this new generation of tools.
Where Should You Start?
Adopting agentic AI does not require transforming the entire organization overnight.
The most effective projects often begin with a process that is simple, repetitive, and easy to measure. This approach makes it possible to achieve results quickly while limiting risk.
Wondering which processes in your organization could benefit from agentic AI? At Kezber, we help businesses identify opportunities, assess potential gains, and progressively implement automation and artificial intelligence solutions aligned with their business objectives.