Workforce AI

Attendance, incidents and reports for teams working across locations.

Workforce AI brings attendance records and staff incidents together in an application for daily operations. It covers mobile and fixed clock-ins, incident review and reports. Connections to other modules must preserve permissions and limits on how people’s information is used.

Conceptual illustration of Workforce AI
Conceptual visualization of the area of work.

What it enables

Mobile and fixed clock-ins · Attendance and incident review · Operational reports

A use example

Review a day’s incidents and prepare a consolidated report for the team manager.

Stage and scope

Documented operation. Documentation records operational use; current availability requires a coordinated check. Public demonstrations do not expose workers’ personal information.

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What it does

Workforce AI manages attendance, biometric/device events, secure mobile check-ins, GPS/photo evidence, schedules, exceptions, permissions, overtime, absences and pre-payroll review.

Current hardening

The product is being hardened around server-side identity, tenant-aware RBAC, pending user approval, deterministic reporting, import preview/validation and no fake security claims.

Hardware bridge

It connects to ZKTeco and Hikvision attendance/access-control contexts, plus mobile check-ins for remote or field teams.

AI role

AI helps classify anomalies, explain exceptions and assist review; structured payroll math and filtering should remain deterministic.

Access

The current public access surface is workforce.pcdoctor.ai, with public build evidence on Devpost and GitHub and proposal material available for review.

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