Effortlessly identify incorrect time registrations to streamline the approval workflow and ensure accurate payroll processing
Quickly identifying mistakes in time registrations means approvers can focus their time on the registrations that actually require attention.
Registrations that do not deviate from the usual can be automatically processed, saving time and improving efficiency.
Correct time registrations lead to correct payouts. That makes both employer and employees happy.
Thanks to TimeDetect, our customers are now catching errors that they previously overlooked, such as overlapping registrations and too much overtime. This results in a more accurate payroll. Also, we previously needed to set up a lot of rules (e.g., weekends) in our software. Now, TimeDetect finds patterns and captures those rules, making our job easier.
Tailored to perfection
TimeDetect provides the best of thousands of AI models, tailored to each company, project, and their employees. The AI models learn to identify complex patterns, that conventional rule-based systems are not capable of, and adjust to changes automatically, providing a flexible and reliable decision-support that would not be possible without this technology.
Saved time and improved accuracy
65%of registrations showed no deviations and could be processed for approval automatically
35%of registrations showed either weak or strong deviations and were singled out for further investigation
“Wow, this specific time registration led to a wrongly paid salary. With this product, that could have been avoided.”
In a busy day, registering hours is sometimes forgotten. TimeDetect identifies missing time registrations, which allows the employer to send notifications to the employees reminding them to register.
TimeDetect reduces the amount of wrong registrations by highlighting time registrations that seem unusual, so that employees can check their hours before they submit their time registration.
TimeDetect is able to analyze large amounts of data and learn to recognize patterns that are unique to the individual company and the individual employee. This means there is no need for setting up and managing rules, the AI learns to identify the patterns automatically.