Faculty and staff, simplified.
Run your Atlas HRMS on Auto-Pilot.
Faculty and staff, simplified. From onboarding to retirement, payroll with EPF/ESI/TDS auto-computed, 12 pre-configured leave types tuned to AICTE/UGC norms, biometric attendance straight into payroll, three-tier appraisals, and an AI workload balancer that distributes teaching load fairly.
AI handles the grunt work.
HR makes the calls.
One-click payroll, AI workload balancing, and natural language querying, so your HR team focuses on people, not paperwork.
One-Click Payroll
Process monthly payroll for all employees with one click. Auto-calculates EPF, ESI, TDS, Professional Tax, and net pay.
Run March payroll1,412 empEPF · 12% + employer match
₹68.4L remitted
ESI · 0.75% where eligible
412 staff
TDS · per declaration
regime-aware slabs
Professional Tax
state slabs applied
Payroll · March 2026
net ₹6.8 Cr · one click
Dr. Meera Krishnan
FAC-0212
₹1,01,600
₹1,24,000 − ₹22,400
Rakesh Yadav
STF-1147
₹26,480
₹28,400 − ₹1,920
Anita Desai
FAC-0834
₹81,200
₹96,500 − ₹15,300
AI Workload Balancer
AI suggests optimal teaching load distribution based on faculty expertise, availability, and departmental needs.
current · 51 hrs
Dr. A. Sharma
+4
CSE · algorithms
load
22 / 18 hrs
Dr. P. Nair
−6
CSE · networks
load
12 / 18 hrs
Dr. K. Rao
ok
CSE · databases
load
17 / 18 hrs
Sharma → Nair
expertise · availability
balanced · 51 hrs
Dr. A. Sharma
− CS-305
load
18 / 18 hrs
Dr. P. Nair
+ CS-305 · 4 hrs
load
16 / 18 hrs
Dr. K. Rao
unchanged
load
17 / 18 hrs
Natural Language Queries
Ask 'who has the most leaves pending in CS department?' and get an instant, formatted answer.
who has the most pending leaves in CS?Pending · CS dept
41 days
Awaiting HOD · 4
Suresh Kumar
OT 96 hrs
STF-0492 · 3.4× dept median
caught before payroll processes
Pre-run validation · March payroll
1,412 rows scanned · 2 min
Dr. Meera Krishnan
FAC-0212 · OT 6 hrs
row held for review · Suresh Kumar · OT 96 hrs
Ravi Verma
STF-0871 · TDS declaration missing
Anomaly Detection
AI flags payroll anomalies, unusual overtime, missing deductions, salary mismatches, before processing.
Hire to retire.
Every stage tracked.
From onboarding to offboarding, complete employee lifecycle with document vault, KYC verification, and multi-campus transfers.
Employee Onboarding
Structured onboarding with document collection, bank verification, PAN/Aadhaar validation, and role assignment.
Onboarding · Dr. Arjun Malik
Asst. Professor · ECE · joins Jul 21
PAN ↔ name match
AAAPM····7L · NSDL
Aadhaar · offline XML
UID ····8123
Bank · penny-drop ₹1
HDFC ····4471
Payroll grade · AP-II
CTC ₹9,20,000 · ECE
Biometric + ID card
device Gate A · queued
Document Vault
Centralized repository for KYC, education certificates, experience letters, and employment contracts. Version-tracked.
Document vault · Dr. Meera Krishnan
E-0212 · 18 documents · version-tracked
PAN card
KYC
Ph.D certificate
education
Experience letter
prior role
Passport
expires Aug 2026
Multi-Campus Transfers
Transfer employees between campuses with automatic data migration, salary, leave balances, and reporting lines.
Gr. Noida campus
−1
faculty
211 / 220
Agra campus
+1
faculty
149 / 160
4 cascades queued
Auto-migration · 4 cascades
salary · leave · reporting · payroll
Salary structure
Agra scale · AP-II retained
Leave balances
EL 18 · CL 3 carried
Day 0
Resignation accepted
Prof. V. Saxena · notice 60 days
Day 30
No-dues clearance
library · labs · finance · hostel
Day 52
Asset handover
laptop WB-1142 · ID · access card
Day 60
Final settlement
₹1,84,300
gratuity ₹96,300 + EL encashment ₹88,000
experience letter auto-generated
Exit queue
6 active · 2 settle this week
Separation Management
Structured exit process, no-dues clearance, asset handover, final settlement calculation, experience letter generation.
Leave and attendance
that enforce themselves.
12 leave types with AICTE/UGC norms, biometric integration, and automatic payroll deductions.
Policy Engine
12 pre-configured leave types (CL, EL, SL, Maternity, Paternity, Study Leave, LOP). Customize accrual, carry-forward, and encashment rules.
Casual · CL
12 / yr
Earned · EL
30 / yr · 2.5 accrual
c/f ≤ 45Sick · SL
10 / yr
Maternity · ML
26 weeks
Leave policy · AICTE / UGC
12 types
1,412 balances recomputed
policy change · instant
Dr. Meera Krishnan · EL 21.5 · CL 8
Rakesh Yadav · EL 9 · SL 4
Academic Calendar Lock
Block leave applications during exam periods, result processing windows, and critical academic events automatically.
exam window
leave locked
Dr. K. Rao · Dec 11
CL 1 day · in window
next open slot
Prof. S. Banerjee
EL · Dec 3–4 · approved
Dr. K. Rao
CL · Dec 22 · approved
Dec 3
Dec 8
Dec 19
Dec 22
locks
Exam windowsResult processingConvocation weekBiometric Integration
Connect biometric devices for real-time attendance tracking. Late marks, overtime, and shift management built in.
biometric · live
biometric · sync 4s
Attendance · Tue, Mar 10
1,284 punches · 3 shifts · realtime
Dr. Meera Krishnan
Gate A · in 09:02
Rakesh Yadav
Block C · in 09:47
Anil Mehta
Gate A · out 19:32
Punches
62,128 · March
Shifts resolved
3 plans · auto
LOP computed
42 days flagged
1,412 employees
March payroll inputs
LockedNo reconciliation
Attendance → Payroll Pipeline
Attendance data flows directly into payroll calculation. No manual reconciliation, no spreadsheet gymnastics.
Appraisals that are fair,
fast, and data-backed
Three-tier performance cycles with self-assessment, HOD review, and HR moderation, powered by data, not opinions.
Performance Cycles
Configure review periods, KRA templates, and rating scales. Launch cycles for specific departments or the entire institution.
teaching · research · service
5-point · anchored
CSE + ECE · 214 faculty
Appraisal cycle · AY 2025-26
launched Jan 6 · closes Feb 14
CSE · self-assessment
118 / 126
ECE · self-assessment
74 / 88
HOD reviews
61 / 214
360° Reviews
Self-assessment → HOD evaluation → HR moderation. Each tier sees relevant metrics and adds their perspective.
4.5
18 KRAs · evidence
4.4
dept median 4.1
−0.2
calibration · skew
Final · Dr. Meera Krishnan
4.2 / 5
Audit trail
3 signaturesself submitted · Jan 08
HOD reviewed · Jan 15
HR calibrated · Jan 22
Promotion Engine
AI recommends promotions based on performance history, teaching load, research output, and peer feedback.
Teaching
4.6 / 5
Research
12 pubs · 2 pat.
Peer
92nd pctile
Service ≥ 5 yrs
6.5 yrs
API score ≥ 300
342
Vacancy · Assoc. Prof
2 sanctioned · CSE
Promotion review · CSE
AY 2025-26 · AI ranked
Dr. Meera Krishnan
AP-II → Associate Professor
Dr. K. Rao
API 274 · below cutoff
band 8–12% · perf-linked
final 4.2 / 5
CTC 2025-26
₹10,40,000
CTC 2026-27
₹11,54,400
Revised structure · Dr. Meera Krishnan
effective Apr 1 · letter generated
Basic · 50%
₹5,77,200
HRA · 40% of basic
₹2,30,880
Special allowance
₹3,46,320
Increment Automation
Define increment rules per grade. AI calculates new CTC, generates revised salary structures, and updates payroll.
AI built in.
Not bolted on.
Every page in Atlas HRMS carries a context-aware AI agent, not a generic chatbot, but a specialized assistant with real tools.
Resume Screening
AI screens applications against job requirements, experience, qualifications, specialization, and ranks candidates
Attrition Predictor
Identifies employees likely to leave based on leave patterns, engagement signals, and compensation benchmarks
TDS Optimizer
AI suggests optimal tax-saving declarations (80C/80D) based on salary structure and declared investments
Compliance Checker
Flags violations against EPF Act, Maternity Benefit Act, and state-specific labor regulations
FAQ
Frequently asked questions.
Everything universities ask us about Atlas HRMS — and how it fits into the rest of the WhiteBird suite.
What is Atlas HRMS?
Atlas HRMS manages faculty and staff from onboarding to retirement, and is part of WhiteBird's Atlas division for campus operations. It runs one-click payroll with EPF, ESI, TDS, and Professional Tax auto-computed, ships with 12 leave types pre-configured for AICTE and UGC norms, and feeds biometric attendance straight into payroll with no spreadsheets.
How does Atlas HRMS use AI?
An AI workload balancer suggests fair teaching load distribution based on faculty expertise, availability, and departmental needs, and anomaly detection flags unusual overtime, missing deductions, and salary mismatches before payroll runs. HR can ask questions like who has the most pending leaves in a department in plain English, while AI also screens resumes against job requirements, predicts attrition risk, and checks compliance against EPF, Maternity Benefit, and state labor regulations.
Does Atlas HRMS integrate with our existing systems?
Biometric devices connect directly for real-time attendance tracking, with late marks, overtime, and shift management built in. Within WhiteBird, Atlas HRMS shares one database and one AI engine with Atlas ERP and Pegasus Learn, so faculty records, teaching assignments, and academic calendars stay in sync with no integration tax.
How long does Atlas HRMS take to deploy?
Deployment takes days to weeks — about 15 days — with pre-built modules and guided onboarding. The 12 leave types arrive pre-configured for AICTE and UGC norms with customizable accrual, carry-forward, and encashment rules, so the policy engine works from day one rather than after months of setup.
How does payroll work in Atlas HRMS?
Monthly payroll for all employees runs with one click, auto-calculating EPF, ESI, TDS, Professional Tax, and net pay. Attendance data flows directly into the calculation with no manual reconciliation, AI flags anomalies before processing, and a TDS optimizer suggests tax-saving declarations based on salary structure and declared investments.
How do performance appraisals work in Atlas HRMS?
Appraisals run as three-tier cycles — self-assessment, HOD evaluation, then HR moderation — with configurable review periods, KRA templates, and rating scales, all backed by an audit trail. A promotion engine recommends advancement based on performance history, teaching load, research output, and peer feedback, and increment automation calculates new CTC and updates payroll from rules you define per grade.
Works seamlessly
with the rest of Whitebird.
Atlas HRMS is part of the Whitebird platform. Data flows automatically between these connected apps. No integration work required.
See Atlas HRMS in action.
A 30-minute walkthrough, tailored to your institution. We'll show you the exact workflows and answer any question.