From individual tasks to end-to-end processes
An obvious way to use AI is to support an existing task. More profound change becomes possible, however, when a company examines the end-to-end process: are the same steps still necessary, should decisions still be made at the same point, which tasks can AI support, and where does human judgment remain essential?
At this point, AI is no longer simply a technology issue. It affects business processes, data, employees’ roles and the organization’s operating model. A technically sound solution is not enough if it does not address a relevant business problem. Likewise, a promising use case is difficult to scale across the organization without the right data, governance and clear accountability.
Initial experiments are therefore important: they help organizations understand the technology’s potential and limitations, while giving both the company and its employees valuable experience. To make real progress, however, these lessons must eventually be turned into organizational capability.
The value of AI must be created in the way the business operates
This requires clear business objectives, the right data, a prepared workforce and responsible governance. With these foundations in place, AI can become an integral part of business operations rather than a series of isolated solutions.
This is why EY Hungary brings together enterprise AI strategy, Responsible AI and technology implementation. By addressing these areas together, we can help companies move from their first AI experiments to the deliberate use of technology to create business value.