On the contrary, when considering AI as the driving force for restructuring operations, businesses can unlock the real value that this technology brings.
To change the result, businesses must change right from the way they pose the problem. Many organizations start their AI journey by finding the best model, platform or tool, but ignore the more important question: What problems does AI solve in the current business model?
Running on technology without starting from actual needs leads to scattered investment, without clear evaluation criteria. When value cannot be measured, businesses can easily lose faith in AI and stop implementing it before seeing the real benefits.
According to Mr. Le Hung Cuong, Deputy General Director ofFPT Digital - FPT Corporation, changing thinking is a mandatory starting point. He emphasized: "Enterprises should not start with the question "which AI is best?" but must start with "Which accounting needs to be awarded?" Only when determining the right goal can businesses choose the right technology and deploy it effectively." This is an important difference between businesses applying AI effectively and businesses implementing it in a trend.
The right thinking helps businesses clearly see that AI cannot operate effectively without a platform. Data must be standardized, processes must be simplified and technology systems must be interconnected. If data is disjointed, processes are complicated, AI, no matter how advanced, will only produce unstable results. Therefore, changing the way we look at AI is also changing the way we look at the operating model itself.
When AI is only applied in each department, the efficiency will be small; but when AI is integrated at the process level - from data, analysis, operations to decision making - businesses will see a greater impact on productivity, cost and customer service speed. At this time, AI is starting to become a part of competitiveness, no longer a testing tool.
The role of leadership is a factor that determines whether AI is successful or not. An effective AI strategy cannot be completely entrusted to the technology department. Leaders must directly participate in setting goals, allocating resources, building training policies and leading changes in the organization.
If leaders do not have a clear direction and commit to pursuing the end, AI initiatives will easily break through. What businesses need is not only strong tools, but also a strong organization to be able to adapt, operate and expand AI applications over time.
Finally, changing the mindset of AI also means investing in human abilities. AI does not replace human resources but changes their roles. Workers need to be equipped with new skills to use AI safely, effectively and creatively. Only when technology and people go together can businesses create sustainable value.
