Solution · Payroll-ready time tracking

Time tracking that is ready for payroll, not cleanup

Capture hours accurately, apply rules automatically, route approvals before export, and keep payroll-ready data cleaner before payday.

Built for teams that need accurate hours, fewer corrections, and less manual reconciliation between operations and payroll.

From clock-in and break tracking to approvals, exceptions, and exports — VRS helps teams reach payroll with cleaner data.

98%
payroll ready
90%
fewer payroll corrections
Cleaner
data before payday
2–3 wks
to operational

The goal is not just tracking time — it is getting to payroll with fewer corrections and less manual cleanup.

Connects with your payroll system

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Where time tracking breaks down

Too many teams still track hours in ways payroll has to fix later

When time capture, approvals, breaks, overtime, and exceptions are managed across disconnected steps, payroll teams inherit the mess.

Hours need checking, managers need chasing, deviations appear too late, and corrections pile up before payday. VRS helps teams capture time more accurately, classify hours automatically, route approvals properly, and resolve exceptions before data reaches payroll.

Inaccurate or incomplete hours

Late entries, missing breaks, and unclear hour types create avoidable correction work that lands in payroll's lap at the end of the cycle.

Approval bottlenecks

Overtime, absences, and deviations are not always approved before payroll cut-off, creating last-minute manual review and correction pressure.

Manual reconciliation before payday

Payroll and operations teams spend too much time cleaning and validating data at the end of the cycle instead of trusting the export.

How VRS helps

One workflow from time capture to payroll-ready export

Use VRS to capture attendance, break status, and hour types at the source, then apply pay rules, route approvals, flag exceptions, and export cleaner hour data. Instead of fixing errors after the fact, teams can handle them while the work is still happening.

VRS payroll-ready workflow
Clock-in / attendance
Hour classification
Approvals
Exception handling
Payroll-ready export
Each step happens inside one connected workflow — not across disconnected tools, spreadsheets, or manual hand-offs.
Core capabilities

What makes the data payroll-ready

Mobile clock-in / out

Employees register time from their own iOS or Android device — no dedicated hardware needed. Time is captured at the source, accurately and in real time.

Auto check-in / out

Automatic attendance registration based on geofence entry and exit. When employees arrive at or leave a site, attendance is logged without manual action.

Break tracking

Log, enforce, and document breaks per shift. Fully auditable, configurable per site or role, and included in the payroll-ready export automatically.

QR code attendance

Scan-in terminals for fixed workstations or site entrances. Employees scan on arrival and the system registers accurate time without any manual entry.

Real-time attendance view

Managers can see who is in, late, on break, or absent — across all sites, live. No waiting until the end of the day to discover problems.

Hour types and add-ons

Separate regular, overtime, night, holiday, and billable hours automatically. The right rates, multipliers, and allowances apply without manual classification.

Approval workflows before payroll

Route overtime, absences, and deviations to the right manager for approval before payroll export. Approvals happen in the workflow, not outside it.

Exception handling and audit trail

Flag late arrivals, unapproved overtime, and missing breaks before they reach payroll. Every record, approval, and edit is timestamped and attributed for full traceability.

Rules applied before handoff

Apply pay rules and compliance checks before payroll sees the data

VRS is not just about recording hours. It also helps structure them correctly before export. Pay rules, rest requirements, weekly caps, and break obligations are applied inside the workflow — so payroll receives cleaner, already-classified data rather than raw hours to interpret.

Overtime thresholds

Hours beyond weekly or daily limits are automatically flagged and classified as overtime, with the correct rate applied before export.

Night shift premiums

Hours worked during defined night windows receive the correct premium automatically, without manual calculation or retroactive correction.

Holiday multipliers

Public holidays and special dates are recognised and the appropriate pay multiplier applied so exports reflect actual obligations, not raw hours.

Allowances

Role-based, site-based, or condition-based allowances are included in export data according to the rules configured for each team or location.

Rest periods

Minimum rest requirements between shifts are tracked and flagged before scheduling or export — catching compliance risks while there is still time to act.

Weekly caps

Maximum weekly hour limits are applied per employee, with overruns classified and routed for approval before they reach payroll without context.

Break requirements

Mandatory break durations are enforced and documented per shift type. Missing or short breaks are flagged as exceptions before payroll export.

Full audit trail on every record. Every time entry, approval, edit, and exception is timestamped and attributed. Your data is audit-ready from day one — not reconstructed from memory after the fact.

Buyer outcomes

What this changes for payroll, operations, and finance

For payroll teams
Less time fixing hours, fewer corrections before payday

Spend less time chasing approvals, fixing hour types, and cleaning exports. Data arrives cleaner because rules, approvals, and exceptions were handled earlier in the process.

For operations leaders
Live visibility into attendance, exceptions, and shift reality

See who is in, late, on break, or absent across all sites in real time — instead of waiting until payroll cleanup reveals the problem days later.

For managers and supervisors
Approve while the work is still fresh, not days later

Approve overtime, absences, and deviations while the detail is still clear. Structured approval workflows mean nothing waits until payroll cut-off to be resolved.

For finance and IT
Cleaner workforce data into downstream payroll or ERP workflows

Get cleaner workforce data, stronger process control, and a more reliable path from operations into downstream payroll or ERP workflows — without manual reconciliation in between.

Proof from live teams

Cleaner payroll flow is already happening in practice

Odda Technology · Manufacturing · Norway
90%
Fewer payroll corrections

"Before VRS, payroll corrections were a monthly nightmare. Now the data is cleaner, and we spend far less time fixing errors before payday."

— Agnete Bjelland, HR Manager · Odda Technology
Elis · Shift operations · Scandinavia
Clean exports
Payroll-ready shift hours

Industrial laundry runs around the clock — VRS handles our shift rotations, rest rules, and payroll exports automatically, so our managers can focus on operations, not admin.

— Erlend Gundersen, Operations Manager · Elis
VRS platform · Operational data
98%
Payroll ready

The payroll-ready rate visible in the VRS operational dashboard — hours that are approved, classified, and export-ready before the payroll period closes.

— VRS operational platform
Typical VRS rollout · Cross-industry
2–3 wks
Operational

Most teams are running within 2–3 weeks of starting — with real workforce data flowing and payroll exports tested by the end of the third week.

— VRS rollout data

Does this sound like your payroll challenge?

Book a walkthrough to see how the same payroll-ready workflow could apply to your team and environment.

Book a walkthrough
A practical workflow

From time capture to cleaner export

Step 1
Capture time

Clock-in/out via mobile, break logging, QR attendance scan, or geofence-based auto check-in. Time is captured accurately at the source.

Step 2
Classify hours

Separate regular, overtime, night, holiday, and other hour types automatically. Pay rules and multipliers apply without manual classification.

Step 3
Resolve approvals and exceptions

Managers review overtime, absences, and deviations before payroll export. Exceptions are flagged and handled while they are still actionable.

Step 4
Export cleaner data

Move clean, reconciled hour data into payroll or ERP workflows or via API. The export reflects what was approved, classified, and checked — not what still needs to be fixed.

Rollout

Get live quickly without rebuilding your process from scratch

Most teams are operational within 2–3 weeks. The goal is to get real workforce data flowing cleanly, with payroll exports tested and operational workflows in place.

Week 1
Map & configure
  • Workflow mapping session for your team's structure
  • Attendance, break, and hour-type rules configured
  • Pay rules, premiums, and thresholds set up
  • Employee accounts and site structure created
Week 2
Connect & onboard
  • Payroll/ERP integrations connected where relevant
  • Manager walkthrough and approval workflow training
  • Employee mobile rollout (iOS / Android)
  • First export and data quality check completed
Week 3
Live operations
  • Real workforce data flowing through VRS
  • Payroll-ready exports tested and validated
  • Approvals and exceptions handled in the workflow
  • Ongoing support included from day one

Odda Technology went live across their full operation in under 3 weeks — from signed agreement to real workforce data flowing through VRS. Most teams are operational and exporting cleaner payroll data within the same timeframe.

Common questions

Frequently asked questions

What makes time tracking "payroll-ready"?
Payroll-ready means that by the time data reaches payroll, the work has already been done: hours are captured accurately, classified into the right types (regular, overtime, night, holiday), pay rules have been applied, approvals are complete, and exceptions have been handled. The export reflects what actually happened — not a starting point for further reconciliation. VRS connects all of these steps in one workflow so payroll receives clean, structured data rather than raw hours to interpret.
Can this reduce payroll correction work?
Yes. Odda Technology, a manufacturing customer, reduced payroll corrections by 90% in their first quarter on the platform. The reduction came from more accurate time capture, structured approval workflows, and rule-based hour classification — all of which reduced the manual reconciliation burden before payday. The same workflow applies to any team with similar correction pressure.
What kinds of hours can VRS separate automatically?
VRS separates regular hours, overtime, night shift hours, public holiday hours, and billable project hours automatically based on configurable rules. The correct pay multipliers, premiums, and allowances are applied to each type so payroll export data reflects the actual obligation — without manual recalculation or post-export correction.
How do managers stay in control before payroll export?
Approval workflows route overtime, absences, and deviations to the right manager before payroll export. Exceptions — such as unapproved overtime, missing breaks, or late arrivals — are flagged inside the workflow, not discovered at the end of the cycle. Managers can review, approve, and resolve these items while the context is still clear, reducing last-minute pressure before payroll cut-off.
How quickly can teams get live?
Most teams are operational within 2–3 weeks of starting. Week 1 covers workflow mapping and configuration. Week 2 covers integrations, manager walkthroughs, and employee rollout. Week 3 is live operations with real data flowing and payroll exports tested. More complex multi-site setups may take 4–6 weeks. Odda Technology went live across their full operation in under 3 weeks.
Ready to see this in your workflow?

See what payroll-ready time tracking looks like in your workflow

Book a walkthrough focused on your time capture process, payroll correction pain points, approvals, and rollout priorities.

We'll map the right workflow to help your team get cleaner payroll data with less manual cleanup.