Baseline63,657FTE
Target55,000FTE
Required reduction8,657FTE
ScenarioGovernment priorityMedium confidence
User overrides0saved locally
AI install cost$0mestablishment
This is a modelling tool. Agency-level outputs are scenario results, not confirmed staffing decisions. Values marked Placeholder can be replaced with official agency-level data.

Current forecast

Government-priority protection

The model allocates reductions only to in-scope public service agencies, then discounts functions marked as protected or operationally sensitive.

Core settings

Data confidence

Mixed evidence

Allocation resolver

Scenario check

Baseline to target

Official target plus model

Top modelled reductions

Model output

Function impact

Model output

Wellington and regions

Model output

Scenario Builder

Change assumptions and rerun the allocation instantly

Presets adjust weights. The user can override any setting, lock agencies, and save named scenarios.

Preset scenario

Quick model options

Live controls

Scenario comparison

Current versus proportional

Exposure versus cut size

Model output

Agency matrix

Departments, departmental agencies and executive boards

Click any row to inspect assumptions, lock the agency, or change its local model inputs.

Function view

Where the reductions land by work type

The model splits agency reductions into functions using editable function shares and scenario pressure.

Function reduction stack

Model output

Function table

Model output

Regional impact

Wellington concentration and regional service risk

This view avoids fake maps. It uses regional shares embedded in the model until official regional data is imported.

Regional split

Placeholder shares

Highest Wellington exposure

Model output

AI implementation cost

Establishment cost to install working agents

This model estimates one-off implementation cost. It is not a monthly subscription calculator. API usage and ongoing support are shown separately as operating provisions.

Agent installation options

Cost drivers

Implementation cost breakdown

One-off NZD estimate

Payback and sensitivity

Model assumption

Cost notes

Assumptions

SEO and AI access

Search metadata, Google indexing and AI crawler guidance

The HTML includes core SEO metadata. If this app is deployed publicly, copy the suggested robots and llms snippets into separate files at the site root.

Suggested robots.txt

Deployment note

          

          

            
Suggested llms.txt
AI permission note

            

          

        


        

          
Searchable landing text
Plain text

          

        

      


      

        

          

            
Briefing Slides

            
Generated from the current scenario

            
Use full screen for a briefing or print to save a simple PDF from the browser.