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TimeDetect

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

By leveraging historical 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
  • Start time, end time or break time never registered before
  • Forgotten or left out registrations

Examples​

  • 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.