The society is like a boundless sea that never stops and keeps rolling. Enterprises are like fishing boats floating in the sea. The vast society like the sea has never stopped moving forward, and various enterprises of all sizes are also constantly changing their way of existence to adapt to the development process of the times. Electric power enterprises are no exception. In recent years, with the continuous reform of the power system, the competition between power enterprises is becoming more and more fierce. All enterprises that can stand the competition have the common ground that is to adapt to the current situation and make timely changes in the form of operation, which is inseparable from the construction of the financial management system (FMS). Therefore, in order to optimize the FMS of electric power enterprises and improve their core competitiveness, the traditional financial concepts and accounting methods should be changed. This paper puts forward the research on the optimization of FMS of electric power enterprises based on artificial intelligence (AI), and designed relevant comparative experiments and questionnaires. The comparison experiment results showed that the invoicing time of power enterprise FMS B based on artificial intelligence was less and more stable than that of traditional power enterprise FMS A. In the traditional electric power enterprise FMS A, the time for financial personnel to issue an invoice was basically controlled between 90 and 120 seconds, and the time for electric power enterprise FMS B to issue an invoice was basically stable between 50 and 100 seconds. It shows that the FMS of electric power enterprises based on artificial intelligence can effectively improve the invoicing time of electric power enterprises and optimize the invoicing speed of the FMS of electric power enterprises. This paper hoped that the application of AI in the FMS of electric power enterprises could effectively drive the financial management work towards a more scientific, professional and intelligent direction. This paper has provided the direction for the development of power enterprise FMS and the reference for the promotion and application of power enterprise FMS based on artificial intelligence, and makes contributions to the update and development of power enterprise financial management.
