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9.5% of Manawatū-Whanganui employees work in government

ChatGPT training for Manawatū-Whanganui government work

Give staff a practical way to test a public-service drafting task. Start with approved evidence, explain the limits and make each claim open to review.

Illustration generated with AI.
Employees in government
10,328Manawatū-Whanganui, February 2025
Share of Manawatū-Whanganui employees
9.5%2 of 16 regions
Share across New Zealand
6.4%all regions, February 2025
Location quotient
1.48×more concentrated than nationally

Government in Manawatū-Whanganui

Horizons describes functions from flood protection to public transport and natural-hazard advice. NZDF identifies Ōhakea as an operational and training base in the region. This breadth calls for different office examples, with information approval settled before a workshop starts.1,2

TheColab provides on-site training for a team with an agreed public or synthetic task. A generic regional council unit might prepare a plain-language briefing from a published programme. A service analyst might test themes in invented consultation comments. The purpose is to practise evidence checks and ownership, without claiming that local agencies have deployed ChatGPT.

Paid employees in government went from 10,799 in February 2020 to 10,328 in February 2025 (−4.4%).

Share of paid employees in government, by region

Share of employees in government by region, Manawatū-Whanganui highlighted
RegionChartShareNZ×
Wellington 17.8% 6.4% 2.8×
Manawatū-Whanganui (this page) 9.5% 6.4% 1.5×
Northland 6.2% 6.4% 1.0×
Waikato 5.0% 6.4% 0.8×
Canterbury 4.8% 6.4% 0.8×
Gisborne 4.8% 6.4% 0.7×
Marlborough 4.8% 6.4% 0.8×
Auckland 4.7% 6.4% 0.7×
Hawke's Bay 4.6% 6.4% 0.7×
Bay of Plenty 4.5% 6.4% 0.7×
Otago 4.4% 6.4% 0.7×
Taranaki 4.4% 6.4% 0.7×
West Coast 4.4% 6.4% 0.7×
Nelson 4.2% 6.4% 0.7×
Southland 3.6% 6.4% 0.6×
Tasman 2.1% 6.4% 0.3×

Paid employees at business locations in the region, February 2025. The tick marks the national share. × is the regional share divided by the national share.

Source: Stats NZ, Business Demography Statistics, February 2020 and 2025.

Local context

  • Horizons' annual-plan release identifies public transport, pest control and river-management work. Use those published programme topics as research context, while avoiding invented claims about agency performance or internal systems.33

Organisations are named for local context only. No relationship with them is implied.

Towns in Manawatū-Whanganui

Each town page has its own figures and local brief.

Or see ChatGPT training across Manawatū-Whanganui.

Where ChatGPT helps government teams

  • Keep a public briefing's sources together

    Use a ChatGPT Project with authorised public documents and the briefing question. Shared project context supports related drafting work.6 Request an outline that distinguishes evidence from recommendations. An officer checks the source passages before selecting a recommendation to develop, and lists any missing information that prevents a defensible conclusion.

    • Public-service briefing adviser
    • ChatGPT Projects
  • Explore fictional consultation themes

    Run data analysis on fabricated submissions with stable record references. ChatGPT can expose code and calculations for review.7 Ask for provisional categories and examples of comments that do not fit. Check the original synthetic records and the coding choices. A frequency table should not be mistaken for representative public support or an authorised decision.

    • Consultation analyst
    • ChatGPT data analysis
  • Test an internal procedure assistant

    Where the agency allows custom GPTs, use approved office guidance and restricted sharing. OpenAI documents control over GPT ownership and access.8 Test a procedural question that lacks a decisive source. Require referral to the guidance owner, and keep public eligibility questions outside the pilot unless a separate approved process covers them. Custom GPTs are scheduled for retirement as OpenAI moves to plugins, which affects any longer-term pilot.11

    • Agency business support lead
    • Custom GPTs
  • Find an authorised programme document

    An approved connected app can retrieve permitted source material when access supports it.9 Have staff inspect the retrieved version and its scope before asking for a summary. The exercise should distinguish a superseded draft from an accepted programme document. Stop if access is missing; do not compensate with an unsourced account of agency policy.

    • Information coordinator
    • Connectors and connected apps
  • Research public guidance with a stop point

    Use Work mode, if approved and available, to assemble a public-source guidance list.10 Require links and a description of each source's intended audience. Read the pages before relying on the list, and prohibit form submission, resident contact or changes to agency records during the exercise.

    • Digital policy researcher
    • ChatGPT Work mode

Review a practice consultation summary

  1. Create invented submissions covering agreement, objections and uncertainty.
  2. Define provisional themes and retain a reference for every record.
  3. Ask for a summary with examples and uncategorised material.
  4. Have another analyst compare the summary with the full practice set.
  5. Record the coding changes before drafting a recommendation for officer review.

Courses

  1. 1Introductory

    ChatGPT essentials workshop

    A hands-on first session: clear prompts, files, data analysis, Projects and search, practised on tasks your team already does.

  2. 2Organisation

    ChatGPT Business and Enterprise rollout

    Set up a ChatGPT workspace properly: plan choice, admin settings, an AI use policy, shared skills and Projects, and support that keeps people using it.

Government in other regions

Other industries in Manawatū-Whanganui

See ChatGPT for government and public services across New Zealand, or all training in Manawatū-Whanganui.

Government in Manawatū-Whanganui: questions

Can our team analyse actual public submissions?

Use invented comments for initial training. A real submission dataset needs an approved privacy, information-handling and review process before tool use.5

Does a common theme establish public preference?

A recurring theme alone does not establish public preference. Review the context, minority views and collection method. Staff must decide what the evidence can support before writing conclusions.

Can we limit training to public sources?

Public reports can support useful briefing and research exercises. Have the programme owner define the question and confirm which versions should be used.

Who should approve an internal assistant?

Include the process owner and the staff responsible for privacy, information management and technology access. Assign an ongoing owner before making the helper available.

Train your government team in Manawatū-Whanganui

  1. Send us a few linesHow many people, where you are, and the jobs that eat your week.
  2. We reply with a planA suggested session and format, plus what to bring: real quotes, emails and questions.
  3. Your team does the workAt your place or over video. They finish with ChatGPT doing real tasks, not demos.
  • In person
  • Remote
  • Half-day workshop
  • Full-day workshop
  • Team rollout

Independent training by TheColab. Not affiliated with OpenAI.

Enquire

Tell us about your team in Manawatū-Whanganui. We reply by email with a suggested course and format.

We use these details only to reply to you, and store them securely with TheColab. Privacy

Sources

Written 6 October 2026. Employment figures come from Stats NZ Business Demography Statistics.