Multiple locations and managers need local execution, while HR leadership needs common definitions and one monthly operating view.
Standardise HR operations without erasing location, shift or policy complexity.
Use one employee and policy foundation across business units, locations, workforce groups, attendance, payroll, performance and service operations.
For Indian organisations around 250–1,000 employees that have outgrown spreadsheets or a rigid HRMS.
What usually breaks before the software conversation begins.
Use these symptoms to determine whether the issue is data, policy, ownership, monthly closure or an unsupported product requirement.
01
Policy differences are managed as exceptions outside the system.
02
Manager actions age without central visibility.
03
Attendance and payroll closure differs by location.
04
Leadership reporting uses reconciled snapshots instead of governed data.
Resolve the policy first, then automate the cycle.
The exact product setup is validated during discovery and demonstration. The sequence below keeps the rule, owner and downstream result connected.
Define the target operating model
Agree shared structures, ownership and legitimate policy variation.
Configure by workforce context
Use location, employee group, grade, department and employment type where required.
Pilot representative complexity
Test one difficult site, shift or policy before broad rollout.
Scale with governance
Review closure, adoption, exceptions and data quality as each wave goes live.
The outcome depends on more than one isolated feature.
Review the upstream source, policy resolver, approval path and downstream output together.
Core HR
Centralise employee records, organisation structures, dated lifecycle changes and policy scope so downstream attendance, leave, payroll, performance and access decisions use the same governed foundation.
ExplorePolicy Configuration
Configure attendance, leave, payroll, approvals, permissions and notifications around the way your organisation actually works, while keeping every policy scoped, dated and reviewable.
ExploreTime & Attendance
Apply configurable rules to punches, shifts and work patterns, explain why each day resolved as it did, and close exceptions before they become payroll corrections.
ExplorePeople Analytics
Bring headcount, movement, people cost, attendance, payroll, performance and HR service data into role-based dashboards with consistent definitions and explainable drill-down.
ExploreConfirm the exact policy, evidence and product boundary.
The answers below reflect the supplied product source. Customer-specific commitments still require live-product and commercial validation.
Can duoHR support multiple locations and employee groups?
Yes. The documented organisation and policy models include location, department, business unit, grade, employee group and employment type.
Can performance and payroll share effective-dated employee changes?
The platform positioning uses one employee and organisation foundation, with dated changes influencing downstream context.
How long will implementation take?
The timeline depends on data quality, payroll complexity, policy scope, integrations and customer readiness; the site does not present a universal fixed-duration promise.
Validate this use case with one real policy or transaction.
Bring a representative employee, location, shift, payroll month or output. We will shape the walkthrough around the exact operating case.