Meet Clockwise

Clockwise looks for patterns that fall outside what's normal for an employee, team or site, such as repeated lateness on a specific day, two people clocking in at exactly the same time as each other, or a sudden change in someone's usual attendance pattern. These are flagged for a manager to review, rather than acted on automatically.

No. Clockwise works alongside however staff already clock in, whether that's wall-mounted clocks, mobile app, or biometric devices, and pulls that data together into one continuous, searchable feed across every site.

Yes. Rather than searching through timesheets or attendance reports, managers can ask Clockwise a direct question, such as how much overtime a site worked last month, and get an answer without needing to run a report manually.

Yes. Clockwise can produce absence and attendance reports daily, weekly or monthly, filtered by site, manager, department or team, so managers can track patterns over time rather than reacting to individual incidents.

Clockwise looks for unusual patterns in clocking data, such as two employees clocking in at the exact same time from the same device, which can be an indicator of buddy punching, where one employee clocks in on behalf of another. These patterns are flagged for a manager to investigate, since Clockwise does not make disciplinary decisions itself.

Time and attendance fraud covers situations where recorded working hours don't reflect hours actually worked, such as buddy punching, clocking in early and leaving without clocking out, or repeatedly rounding hours in an employee's favour. It can be difficult to spot manually across a large or multi-site workforce, which is one reason employers use automated anomaly detection.

The Bradford Factor is a formula some UK employers use to measure the impact of employee absence, based on the number of separate absence episodes as well as total days lost, on the theory that frequent short absences disrupt a team more than one long absence. Clockwise can flag when an employee's absence pattern reaches a level that would normally trigger a conversation under a company's own policy.

Common approaches include cross-checking clock-in and clock-out data against submitted timesheets before payroll runs, flagging missing or unusual entries automatically, and giving managers real-time visibility of attendance issues rather than discovering them after payroll has already been processed.

Multi-site employers typically need a single, combined view of attendance data rather than checking each site's clocking system separately. Clockwise pulls attendance data from every site and clocking method into one feed, so patterns across the whole business, not just one location, become visible.

Sense is ISO 27001 certified, and all HR data, including attendance and clocking data used by Clockwise, is stored in secure, UK-hosted data centres compliant with GDPR. Customer HR data is never used to train any AI models.