Time Tracking + Attendance AI – Automate Time, Trust Performance
Say goodbye to manual timesheets and unreliable check-ins. G-POD’s AI-powered Time Tracking and Attendance system uses smart verification, facial recognition, and behavioural analytics to ensure staff are where they need to be — and doing what they should — all while protecting privacy and building trust.
What’s Included:
- Facial Recognition Clock-Ins: Stops “buddy punching” and ensures shift integrity — without clunky hardware.
- Location-Aware Verification: Workers can only check in from approved job sites or zones.
- AI Pattern Monitoring: Detects early signs of lateness, absence risk, or shift inconsistencies before they affect your rota.
- Live Dashboard: View clock-in/out logs, break durations, and total hours in real time.
- Privacy-Compliant: Data stored securely and used ethically under GDPR and UK workplace guidance.
Real-World Results
- Construction company: Reduced lateness by 40% using geofenced attendance alerts and AI-based habit tracking.
- Retail chain with 5 stores: Saved 15 hours/month in rota disputes and timesheet reconciliation.
- Cleaning team contractor: Increased client trust with verifiable timestamps and shift location logs.
How It Works (Built-In AI Tech)
- Clock-Ins via App: Workers tap to check in — AI scans facial match and location tag.
- Shift Audits: All events logged with time, date, coordinates and verified status.
- Alerts + Flags: G-POD flags potential issues (missed breaks, late arrivals) before they escalate.
- Audit Trail: Every edit and override is stored for compliance checks or internal reviews.
- Secure by Design: Encrypted, anonymous, and never shared without authorisation.
For Employers
- Activate attendance in your G-POD dashboard
- Define check-in zones, rules and grace periods
- Receive smart alerts and generate reports anytime
For Workers
- Open the app and tap to check in
- Verify via facial scan and GPS
- See logged hours, breaks and shift history
“It’s like having an invisible site supervisor. We don’t chase staff anymore — the data speaks for itself.”
— Operations Manager, Midlands Cleaning Co.