Scientific research secretaries in secondary colleges of universities are often overwhelmed by daily trivial matters and low efficiency

failing to fully realize their role as full-time managers and service providers. The development of artificial intelligence technology offers a new way out for research secretaries. Based on an analysis of the job responsibilities and pain points of research secretaries

this paper proposes a full-factor

full-process management pathway empowered by AI: automated burden reduction

intelligent efficiency enhancement

and data-driven quality improvement. Implementation strategies are suggested from the aspects of platform construction

data governance

personnel capacity building

and organizational support

providing a reference for the intelligent transformation of university research management.