AUM's multi-document co-processing capabilities have revolutionized efficiency for HR departments. The system is capable of handling hundreds of resumes or personnel documents simultaneously, completing complex screening and analysis tasks through natural language commands, freeing HR from mechanical document processing.
In practice, HR simply uploads all the resumes to the AUM workspace, and then enters natural language commands such as "screen candidates with more than 5 years of Java experience and graduated from 985 colleges". The system will automatically parse the content of all resumes and accurately identify qualified candidates, with processing speed and accuracy far exceeding that of manual operations. After the application of a large enterprise feedback, resume screening time from the original per capita 8 hours / 100 copies shortened to 15 minutes.
In addition to resume screening, the feature also supports batch analysis of multiple types of HR documents such as employee files and performance appraisals. Through the built-in intelligent comparison algorithm, key differences between documents can be quickly identified to assist personnel decision-making. This batch and intelligent document processing allows HR teams to focus on more strategically valuable talent management matters.
This answer comes from the articleAUM: A private enterprise AI knowledge base client running locally offlineThe
