TimeDetect

TimeDetect empowers organizations to streamline their time and absence registration and approval processes.

By leveraging historical approved time registrations to build advanced machine learning models, TimeDetect identifies anomalies in new registrations along with an explanation of what seems irregular.

Example anomalies include:

• Employees registering too much overtime
• Unusually high or low total amount of work hours for a day
• Unusual start time, end time or break time
• Forgotten or left out registrations

Examples

• Our former tech lead Camilla Dybdal explains how TimeDetect works:

• Intempus launched AI anomaly detection using TimeDetect in Q3 2023:

Contact

Please reach out to Sander or Thea if you have any questions or concerns.