Everyday Use of AI in Business Decision Making — Illusion or Reality?

The corporate application of artificial intelligence reached a spectacular turning point in 2025. Today, the question is no longer whether AI can analyze data or provide answers. Rather, it is whether it can act independently in business matters, or whether the companies themselves give AI the power to do so. According to the “Agentic Enterprise” concept, AI is not just a business IT support tool, but an active player in the day-to-day operations of companies.

AI is no longer just a decision-making tool

According to Salesforce, for now, the answer to the question of how to view it is very nuanced Agentic Enterpriseto: a real trend or just a well-sounding tech narrative? It is quite certain that the business presence of AI on this scale is no longer an illusion, but at the same time we also see that it is not an end state that can be quickly implemented. Agentic Enterprise is a kind of inescapable path of development, along which every organization moves at a different pace.

During the developments implemented with the collaboration of UC, our colleagues also found that the digital transformation projects of recent years were primarily about efficiency. These included the digitization of various processes, the interconnection of data and the introduction of decision support systems. However, the 'agentic' approach is a serious step in comparison. This is because AI agents are already not only proposing, but also deciding and executing certain tasks.

Are we ready for the autonomous AI era?

In Salesforce's vision, these are AI agents appear in familiar work environments. In CRM, collaboration interfaces, data platforms. Not as a separate tool, but as a digital collaborator. The real change, therefore, does not lie in this, but rather in shortening the path between the recognition of information and action.

This kind of change represents a tangible competitive advantage in many industries today. At United Consult, we also see that customers are becoming less and less interested in the various analytics that will ultimately be up to them again; instead, they are increasingly expecting solutions that work, ready answers from IT innovations that help the business run. Systems that not only signal, but also act.

Step by step on the way to the future

About Salesforce agentic maturityIts model highlights that autonomous operation does not become a reality by turning a single switch, it is not the result of a single jump. There are different levels of the process. At the first steps, the AI searches for information and makes recommendations. Later, he performs simple actions. At higher levels of maturity, he manages already complex processes involving multiple systems.

“The rapid pace of innovation experienced in recent years suggests that this final state may be closer than we think”said Shibani Ahuja, vice president of enterprise IT strategy at Salesforce.

The company's research also warns of potential pitfalls: in most cases, the problem begins when an organization is already talking about the upper tiers while the funds are still lacking. In practice, all this means that AI expects autonomous decision-making and action steps, while the system is based on fragmented data, unclear processes, and missing regulations. There is no question that autonomy in such an environment is not an advance, but a risk.

Don't let Agentic Enterprise be an illusion.

Of course, the assessment of the rapid rise of technology is not unanimously positive. Many industry experts are very cautious when it comes to forecasts regarding Agentic Enterprise.Gartner is not very optimistic yetas for widespread adoption, experts say that more than 40% of such projects will fail by the end of 2027. The failures, in their opinion, will be driven by rising costs, unclear business value or inadequate risk management.

Gartner experts believe that the real business value of agentic AI lies not in spectacular autonomy, but rather in well-chosen use cases. According to the analysis, by 2028, roughly 15 percent of daily business decisions will be made autonomously by AI agents, while agentic operations may appear in a third of enterprise software. Of course, this is a prerequisite for organizations to establish clear return and risk management frameworks and to be able to avoid so-called “agent washing”. Regarding the latter, experts agree that today they consider more solutions as agents than necessary, when in fact they are automatisms or chatbots. This can put some companies in the spotlight in the short term, but in the long run it can disappoint.

Not a loss of control, but cooperation

Google emphasizes the complexity of the system in relation to the issue. “In order to maximize its benefits, it is critical that these agents are able to work together in a dynamic, multi-agent ecosystem. Enabling them to work together, even if they are different manufacturers or different frameworks, increases autonomy and effectively multiplies efficiency, while reducing long-term costs,” they say. Related blog post by Googleauthorship.

Agentic operation implies a real decision-making responsibility. Although the operation is autonomous, the results of the activity are still measurable, the processes are transparent. It is also important that the system has the ability for the AI to recognize when to return, more precisely, to transfer control to the human. All in all, autonomous AI does not mean a loss of control, but a new model of cooperation between man and machine.

Reality for those who build consciously

We at United Consult represent that Agentic Enterprise is not science fiction, but neither is it an easy-to-implement boxed product. For companies willing to take it step by step, it could become a reality in the foreseeable future. To do this, however, it is necessary to be aware of the current state of the organization and the operational fundamentals on which to base the future.

We believe that agentic AI works really well when it comes to finding and providing solutions to real business problems, and the company does not start to deal with it out of technological fashion. The key to success is not the introduction of AI, but the design of operations based on AI. If you are wondering where your company stands on this path, is it suitable for you to take the first steps,Our colleagues will be happy to share their experiences with you!

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