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TimeDetect

Welcome to the TimeDetect API documentation.

TimeDetect empowers organizations to streamline their time and absence registration processes. By leveraging historical data to build sophisticated machine learning models, TimeDetect provides predictions on the anomaly level of new registrations and provides the explanations behind the flagged deviations. This innovation propels the automation of time registration workflows and enhances the productivity of approvers.

What is TimeDetect​

TimeDetect is an API designed to transform the way companies approach time and absence management. It uses machine learning algorithms to analyze historical registration data, identifying patterns and flagging irregularities in new time registrations.

TimeDetect's model pinpoints various types of anomalies, such as:

  • Employees registering the wrong amount of overtime
  • Unusually high or low total amount of work hours for a day
  • Start time, end time or break time never registered before
  • Forgetting to register their work hours

and much more.

Who is it for?​

TimeDetect is specifically designed to integrate with Visma products featuring a time registration module. This API is particularly beneficial for streamlining the approval process within these systems. Moreover, it offers significant advantages not only to the approvers managing these workflows but also to individuals responsible for logging their hours.

By automating and enhancing the accuracy of time registration approvals, TimeDetect ensures a more efficient and error-free operation. It assists approvers by flagging potential anomalies for review, thus optimizing the time spent on manual checks and approvals. For those recording their work hours, TimeDetect can help reduce the likelihood of errors and the need for subsequent corrections, creating a smoother and more reliable registration process.

Ultimately, TimeDetect serves as a vital tool for any Visma product that handles time registrations, aiming to simplify and improve the overall experience for both the administrative staff and the end-users. Its application extends beyond mere automation, offering deep insights into time registration patterns and helping to ensure that employees are compensated accurately for their time.

Demo-video​

Contact​

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