Case study

New Zealand Inland Revenue determines the feasibility of a shared service

New Zealand Inland Revenue
Public sector
Wellington, New Zealand
Project goals
Test the impact of shared services approach in a risk free environment
Achievements with Simul8

Increased efficiency through improved staff utilization


Efficient planning of 2,000 staff and over 30,000 pieces of communication every day


Improved customer service by identifying bottlenecks in processes

The challenge

New Zealand Inland Revenue (NZIR) continuously review the management of their communications workload with a view to allowing them to plan resource on a National, rather than a local basis.

NZIR had an existing simulation tool but it didn't enable them to test changes to their process, and couldn't be changed without the input of the initial supplier.

The tool was also very inefficient, taking several days to test scenarios and deliver results.

NZIR needed a tool that simulates all communications (call center, email, mail, etc) and identifies the subsequent cost and service level impact of changes in workload and resources.

Simul8 worked closely on-site with NZIR to understand all internal processes and the specific aims of the project.

Following a 3 week consultation period, Simul8 developed a model to simulate the flow of all work and its interaction with available resources, and to predict backlogs and any under utilized staff.

Simul8 also provided full on-site training for the model, allowing NZIR to maintain the simulations internally and test any further changes to their processes.

The result

The new tool has created a confidence amongst NZIR senior management in how to reconfigure staff to achieve goals and get the changes right first time. It now allows NZIR to efficiently plan more than 2,000 staff, test proposed skills changes, and visualize the impact this would have on overall service levels.

Overall efficiency has also improved with the ability to run scenarios in 15 minutes, rather than the several days taken by the previous tool, and this means that many more scenarios can be tested.

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