Accelerating Rotational Work Pattern Setup in ADP iHCM2

A streamlined ADP iHCM2 implementation that replaced manual rota setup with a faster, more reliable import-led approach.

This project helped a web hosting and cloud services provider speed up workforce scheduling while keeping the wider HR and payroll implementation on track.

About The client

Fast Hosts

A leading provider in web hosting and cloud services, with 260 employees, needed to streamline HR and payroll operations through ADP iHCM2. The immediate requirement was to configure rotational work patterns for the workforce without slowing down the wider implementation programme.

The project covered requirement gathering, build activities, scenario testing, client review, data migration support, and knowledge transfer. The main focus was to find a practical way to handle complex rota setup at scale while protecting accuracy and system performance.

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How It Went

The Challenge

The client needed to create 52 weeks of rotational shift patterns for the workforce.

  • The client needed to create 52 weeks of rotational shift patterns for the workforce.
  • The original method relied on manual configuration, which was estimated to take one full week of work.
  • Manual entry increased the risk of avoidable errors across work pattern, shift, week and crew data.
  • The volume of manual data also created system performance issues and caused the website to hang.
  • This approach was not sustainable and risked delaying the overall project timeline.
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How We Did it?

Our Solution

Rather than continue with a manual build, our implementation team explored the available ADP iHCM2 import options and identified a more scalable route. We used ADP iHCM2 import templates to automate the setup of rotational work patterns and remove the need for repetitive manual entry.

The solution was tested first on the staging database using sample data. Once validated, the same approach was executed on the live database. The build used four step-by-step import templates covering work pattern names, shift details, week details, and work crew setup.

This shifted the process from a week of manual work to just 30 minutes, while also reducing the likelihood of input errors and avoiding the performance issues caused by high-volume manual processing.

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Technologies & Platforms

  • ADP iHCM2
  • ADP iHCM2 import templates

Joint Effort

The Collaboration

The delivery followed a phased implementation structure. Requirement gathering and build work were completed within 2 weeks in Month 1, followed by scenario testing and client review for sign-off in Month 2, and data migration plus parallel activities in Month 3.

Alongside delivery, the approach was documented and shared with the wider team. This meant the solution was not treated as a one-off fix, but as a repeatable method that could support similar future implementations.

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The Result

Project Outcomes

  • 1 week of manual work reduced to just 30 minutes
  • 52 weeks of rotational shift patterns configured through imports
  • Accuracy improved by removing manual data entry steps
  • System performance improved without any lag
  • Requirement gathering and build phase completed within 2 weeks
  • Repeatable import-led method documented for ongoing projects
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FAQ's

About This Project

An ADP payroll implementation case study shows how a business used ADP technology to solve a real HR, payroll, time or workforce management challenge. In this example, the focus was on rotational work pattern setup in ADP iHCM2.
ADP iHCM2 can support rotational work patterns by using structured configuration and import templates to load work pattern names, shifts, weeks and crew data more efficiently than manual entry.
Manual rota setup can slow delivery, increase the chance of data entry mistakes, and create performance issues when large volumes of scheduling data need to be configured.
Automating shift pattern setup helps reduce admin time, improve accuracy, support system stability, and keep implementation timelines moving without unnecessary delays.
Import templates create a more scalable and repeatable way to load structured data. They also make testing easier, reduce manual effort, and help teams standardise delivery across similar projects.
Businesses should look for a partner that understands payroll operations, workforce scheduling, testing, migration planning, and practical ways to reduce implementation risk through smarter configuration methods.

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