PayBell AI — built on the data you already keep
Years of attendance, leave and appraisal records hold patterns no one has time to look for by hand. We are building a layer that reads them and tells your HR team what is worth a second look.
In development — not yet live. We are sharing the roadmap so you can tell us which parts would help most; that decides the build order.
What we’re building
Attendance pattern analysis
PlannedRecurring lateness, absences that cluster around weekends and holidays, and clock-in patterns that drift over time — per employee, team or branch.
Leave pattern analysis
PlannedWhich periods your leave requests pile into, which teams are heading for thin cover, and where leave usage looks unlike the rest of the department.
Appraisal analysis
PlannedA whole appraisal cycle summarised in a page, and where two managers rate comparable staff very differently.
Employee feedback analysis
PlannedWritten feedback across the organisation grouped into themes, so recurring concerns surface without anyone reading every response.
Payroll anomaly checks
PlannedFigures that sit well outside an employee's own history, flagged before the payroll is processed rather than after.
Ask your data a question
PlannedType a plain question — "who was late more than five times last month?" — and get the answer as a report you can export.
Frequently asked questions
Is PayBell AI available now?
No. It is in active development. The features here are the roadmap, not a release.
What data does it use?
Only the attendance, leave, appraisal and payroll records already in your PayBell account — nothing new to collect.
How do I influence what gets built first?
Tell us which of these would help most; that is what decides the build order.
Will it replace HR decisions?
No. It surfaces what is worth a closer look; people decide what to do about it.
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