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2.1% of Tasman employees work in government

ChatGPT training for Tasman government offices

Learn to build a public service draft that another officer can verify. Use approved inputs, inspect the analysis and keep unanswered questions visible.

EnquireWhere ChatGPT helps
Illustration generated with AI.
Employees in government
500Tasman, February 2025
Share of Tasman employees
2.1%16 of 16 regions
Share across New Zealand
6.4%all regions, February 2025
Location quotient
0.33×less concentrated than nationally

Government in Tasman

Tasman's Public Administration and Safety division has 500 employees in the February 2025 regional business-demography aggregate.1 Training for this work should give staff a precise task and a clear evidence trail. A generic Richmond policy team can practise with a published report, synthetic feedback and an enquiry that the source material cannot fully resolve.

TheColab comes to Tasman public service workplaces. We help analysts, customer officers and information staff test ChatGPT on approved drafting and research tasks. The session includes the awkward cases: an obsolete reference, a missing section and a question outside the source pack. Staff learn how to identify the gap, ask the right person and preserve the reviewed result in the normal organisational process.

Paid employees in government went from 458 in February 2020 to 500 in February 2025 (+9.2%).

Share of paid employees in government, by region

Share of employees in government by region, Tasman highlighted
RegionChartShareNZ×
Wellington 17.8% 6.4% 2.8×
Manawatū-Whanganui 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 (this page) 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

  • DOC lists an office in Motueka. Council's public information index contains generative AI release topics, which give a separate district example of public scrutiny and information work.2,3

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

Towns in Tasman

Each town page has its own figures and local brief.

Or see ChatGPT training across Tasman.

Where ChatGPT helps government teams

  • Prepare a scoped policy working brief

    A ChatGPT Project can group references and instructions for an ongoing task.6 Use a published Tasman-context pack with a fictional manager's question. Ask for evidence, possible interpretations and matters needing confirmation in separate sections. The analyst checks the source passages before drafting a recommendation. A persistent workspace still needs careful control of what information belongs in it.

    • Policy project officer
    • ChatGPT Projects

  • Inspect a synthetic feedback summary

    Data analysis can group uploaded records and show calculation methods.8 Practise with invented consultation comments that include mixed views and blank responses. Require the theme definitions and record-level assignments. Check the coding before preparing a narrative. Staff should retain minority views and ambiguity rather than turn a convenient grouping into a claimed community consensus.

    • Engagement analyst
    • ChatGPT data analysis

  • Rehearse a staff service-information helper

    Custom GPT creation depends on eligible managed-workspace access and OpenAI's announced retirement plans.7 When supported, test reusable instructions against an approved public service pack. Include a question requiring officer judgement. The helper should find the relevant document and identify the limit of its answer. Keep instructions portable so a future publishing change does not remove the reviewed workflow.

    • Service knowledge lead
    • Custom GPTs

  • Retrieve a controlled reference

    Connected apps can provide authorised source access where enabled.9 Rehearse finding a public briefing in a restricted collection and request its original link. Compare the answer with the published copy. The information owner checks collection scope before the session. Leave case files and restricted records outside the exercise until their handling has been separately approved.

    • Information management officer
    • ChatGPT connected apps

  • Collect a draft primary-source reading list

    ChatGPT Work can plan a public-web research task and carry it through to a result the officer can review.10 Define a narrow question and ask for primary pages with publication context. Keep the task free of external submissions and messages. Open each proposed source and check its jurisdiction and currency. The officer selects the final reading list and records which sources informed the eventual brief.

    • Government research officer
    • ChatGPT Work

Test the boundary of a public-information answer

  1. Create a fictional enquiry with one answerable point and one issue missing from the approved pack.
  2. Ask ChatGPT to link each supported statement to a source and identify the missing information.
  3. Challenge a plausible but unsupported sentence and revise the draft with the responsible officer.
  4. Keep the checked answer, relevant references and review record through the approved filing process.

Courses

  1. 1Organisation

    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.

  2. 2Advanced

    Skills, plugins, workspace agents and connected apps

    For power users and technical leads: skills, plugins, Projects, ChatGPT Work, connected apps, data analysis and workspace agents.

Government in other regions

Other industries in Tasman

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

Government in Tasman: questions

Can a public source pack be enough?

A published report and a clearly framed question are sufficient for useful practice. Add a deliberately incomplete reference to test how staff detect uncertainty. The exercise can teach accountable review before any discussion of restricted organisational records.

Does connected access authorise case-file use?

Access alone does not settle whether material is suitable for the chosen task. Your agency's information and security owners decide the permitted scope. Keep the first collection narrow and require review before connecting further records.

How should we interpret a theme count?

Look at the underlying comments and the grouping rule. A count describes the supplied records, not necessarily the public's overall view. Check exclusions and conflicting responses, then explain the limitations alongside any summary presented to decision-makers.

What should the rollout team keep?

Retain the agreed use case, approved source list, difficult test questions and review criteria. Ask the records team how to handle the resulting material. These concrete items help the agency assess the workflow before expanding access or scope.

Train your government team in Tasman

  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 Tasman. We reply by email with a suggested course and format.

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Sources

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