Engineering Enterprise Management is facing multiple challenges

such as the increase in project complexity

the difficulty of dynamic resource allocation

and the high requirement of decision-making timeliness. The traditional management mode has been difficult to adapt to the rapidly changing market demand. The rapid development of artificial intelligence technology provides new management tools for engineering enterprises

and its advantages in data processing

pattern recognition and independent decision-making

it can effectively optimize the resource allocation

improve the ability of risk prediction and enhance the scientific nature of management decision-making. However

the existing research lacks systematic exploration of the deep integration path of artificial intelligence technology and engineering management process

which restricts the full release of technical potential. Therefore

this paper discusses the innovative application mode of artificial intelligence technology in engineering enterprise management to build a new management system of data-driven

intelligent decision-making and dynamic optimization. It provides theoretical support and practical reference for the digital transformation of engineering enterprises.