HR AI
HR AI
Workforce, shifts, attendance, performance, hiring, training and forecasts.
HR health
Where your workforce stands right now.
Score
91
Team is steady; small overtime spike in kitchen, otherwise healthy.
Employees
62
Scheduled today
41 / 44
Today attendance
93.2%
30-day attendance
96.4%
Labor cost
2,425,000 ֏
Labor %
31.0%
Overtime hours
38h
Satisfaction
88%
AI confidence
92%
Workforce
Headcount, current activity and open positions by department.
| Department | Headcount | Active now | Vacant | Utilization |
|---|---|---|---|---|
| Kitchen | 22 | 15 | 1 | 86% |
| Service | 24 | 17 | 0 | 92% |
| Bar | 6 | 4 | 0 | 88% |
| Host / floor | 4 | 2 | 0 | 76% |
| Management | 6 | 3 | 0 | 68% |
Shift management
Coverage and overtime by shift block.
| Shift | Assigned | Required | Missing | OT hours | Coverage | |
|---|---|---|---|---|---|---|
| Morning | 8 | 8 | 0 | 2h | 100% | |
| Lunch | 12 | 13 | 1 | 6h | 92% | |
| Dinner | 18 | 18 | 0 | 22h | 100% | |
| Night | 6 | 6 | 0 | 8h | 100% |
Attendance
Punctuality and absence mix, plus today's exceptions.
On time
94.2%
Late
3.1%
Absent
0.8%
Sick
1.4%
Vacation
0.5%
7-day on-time trend
Today
- LateLusine A.· 12 min late· Reported traffic delay.
- VacationKaren S.
- SickAni P.
Productivity
Per-employee output for the current month.
| Employee | Dept | Tables | Orders | Revenue | Upsell % | Avg ticket | Guest ★ | Kitchen eff | |
|---|---|---|---|---|---|---|---|---|---|
| Anahit K. | Service | 386 | 812 | 8,640,000 ֏ | 42% | 22,400 ֏ | 4.9 | — | |
| Sergey M. | Kitchen | — | 1,240 | — | — | — | 4.8 | 92% | |
| Lusine A. | Service | 264 | 512 | 4,120,000 ֏ | 28% | 16,100 ֏ | 4.5 | — | |
| David P. | Bar | — | 940 | 3,120,000 ֏ | 36% | 9,200 ֏ | 4.7 | — | |
| Nare G. | Host / floor | — | 0 | — | — | — | 4.6 | — | |
| Vahagn T. | Kitchen | — | 1,120 | — | — | — | 4.6 | 88% | |
| Mariam O. | Service | 302 | 604 | 5,080,000 ֏ | 38% | 18,400 ֏ | 4.8 | — | |
| Karen S. | Kitchen | — | 0 | — | — | — | — | — | |
| Armine V. | Management | — | 0 | — | — | — | — | — | |
| Tigran L. | Kitchen | — | 1,060 | — | — | — | 4.7 | 90% | |
| Ani P. | Service | 96 | 168 | 1,240,000 ֏ | 18% | 12,800 ֏ | 4.3 | — | |
| Ruben N. | Bar | — | 812 | 2,640,000 ֏ | 32% | 8,400 ֏ | 4.6 | — |
Service
19,080,000 ֏ · Upsell 32%
Kitchen
0 ֏ · Upsell 0%
Bar
5,760,000 ֏ · Upsell 34%
Host / floor
0 ֏ · Upsell 0%
Management
0 ֏ · Upsell 0%
Labor cost
Month-to-date breakdown plus next-payroll forecast.
Salary
1,820,000 ֏
Overtime
220,000 ֏
Bonuses
145,000 ֏
Taxes
240,000 ֏
Total labor cost
2,425,000 ֏
Next payroll (forecast)
2,490,000 ֏
Overtime intelligence
Excess overtime, burnout risk and scheduling issues.
| Employee | Hours / week | Threshold | Excess | Kind | Burnout risk | Signal | |
|---|---|---|---|---|---|---|---|
| Vahagn T. | 14h | 12h | +2h | Threshold exceeded | Medium | Sustained kitchen load above staffing model. | |
| Tigran L. | 10h | 12h | — | Workload risk | Low | Covering shifts for absent teammates. |
Employee performance
Ranked leaderboard by composite KPI. · Featured employees — selected profiles from total headcount.
| Employee | KPI | Attendance | Upsell | Guest ★ | Tenure (mo) | |
|---|---|---|---|---|---|---|
| Anahit K. | 96 | 99% | 42% | 4.9 | 34 | |
| Sergey M. | 94 | 100% | — | 4.8 | 62 | |
| Armine V. | 93 | 100% | — | — | 48 | |
| Mariam O. | 91 | 99% | 38% | 4.8 | 18 | |
| Tigran L. | 90 | 98% | — | 4.7 | 30 | |
| David P. | 88 | 97% | 36% | 4.7 | 22 | |
| Vahagn T. | 86 | 96% | — | 4.6 | 40 | |
| Ruben N. | 85 | 96% | 32% | 4.6 | 20 | |
| Nare G. | 84 | 98% | — | 4.6 | 8 | |
| Karen S. | 80 | 95% | — | — | 26 | |
| Lusine A. | 78 | 91% | 28% | 4.5 | 14 | |
| Ani P. | 70 | 88% | 18% | 4.3 | 2 |
HR forecast
7 / 30 / 90-day staffing, hiring, turnover, cost and overtime.
Staffing demand
45
Hiring need
3
Turnover
3.5%
Labor cost
2,564,700 ֏
Overtime hrs
136h
Confidence
79%
HR recommendations
Actionable AI suggestions ready to become decisions.
| Recommendation | Impact | Confidence | Owner | |
|---|---|---|---|---|
Reduce dinner-shift overtime for Vahagn T.Overtime · 14 h/week overtime for two consecutive weeks — burnout risk rising. | 220,000 ֏ | 86% | Anna | |
Complete upsell training for Lusine A.Training · Upsell % is 10 pts below peers; training 60% complete. | 96,000 ֏ | 78% | Anna | |
Promote Mariam O. to senior serverPromotion · 18 months tenure, 91 KPI, upsell 38% — retention risk if not recognized. | 140,000 ֏ | 82% | Anna |
Hiring pipeline
Applied → Interview → Trial → Hired.
Applied
1
Interview
1
Trial
1
Hired
1
Rejected
0
| Candidate | Role | Stage | AI score | Days | |
|---|---|---|---|---|---|
| Karine B. | Server | Trial | 82% | 4d | |
| Arayik D. | Cook | Interview | 76% | 2d | |
| Sona V. | Host | Applied | 68% | 1d | |
| Levon R. | Dishwasher | Hired | 74% | 0d |
Training
Completed, in progress, expired and required.
| Employee | Course | Status | Progress | Due in | |
|---|---|---|---|---|---|
| Lusine A. | Upsell mastery | In progress | 60% | 14d | |
| Ani P. | Service basics | In progress | 45% | 20d | |
| Vahagn T. | Knife & fire safety | Expired | 100% | overdue 12d | |
| Anahit K. | Wine service | Completed | 100% | 180d |
Certifications
Regulatory certificates and expiration warnings.
| Employee | Kind | Expires | |
|---|---|---|---|
| Anahit K. | Food safety | OK · 120d | |
| Sergey M. | HACCP | OK · 40d | |
| Sergey M. | First aid | Expired · -8d | |
| David P. | Alcohol service | OK · 210d |
Recognition
Top employees and monthly awards.
HR timeline
Recent HR AI signals and human acknowledgements.
7-day forecast: labor cost +2%.
HR AI · Forecast
Recognition: top server of the month.
HR AI · Recognition
Overtime alert on kitchen line.
HR AI · Overtime
Dinner shift fully covered.
HR AI · Shifts
HR AI runs on deterministic demo data. Live payroll and HRIS will replace it after integration.