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Guide · AI training for teams

Who Runs Customised AI Workshops for NZ Businesses? What Good Staff AI Training Looks Like

Ez-AI runs customised AI workshops for New Zealand business teams, on site in Auckland or remotely anywhere in the country, built on your own documents, the one AI tool you have standardised on, and a one-page staff AI policy. For an Auckland electrical contractor, a staff training programme took a team with mixed AI confidence to daily use, followed by a build that reads three mailboxes and turns each new project into a job folder and document pack. A half-day workshop is NZ$2,400 and a full day NZ$4,200, fixed price and excluding GST, including preparation on your own material.

Updated29 October 2026
Reading time7 minutes
BasedAuckland, working NZ-wide

The short answer

I run customised AI training for New Zealand business teams, and what makes it customised is that it is built on your team's own work rather than someone else's examples. Sessions run on site in Auckland or remotely anywhere in New Zealand. I build remotely and travel for kick-offs, training and reviews when the project warrants it.

A good session covers three things a generic course can't: the actual emails, documents and tasks your people deal with, the one AI tool your business has settled on, and the rules for using it. Ez-AI is an OpenAI Select Partner, but the training is on whichever assistant you have chosen, Copilot, Claude and Gemini included.

Generic course or customised workshop?

A generic course teaches the tool; a customised workshop teaches your team's jobs with the tool you have already chosen. Generic courses are fine for the basics, and plenty are free. The gap shows on Monday, when someone sits down with a real quote or complaint and the course examples don't fit.

QuestionGeneric courseCustomised workshop
Whose examples?Standard examples and sample filesYour quotes, reports, inbox and procedures, with sensitive details removed where needed
Which tool?Often a tour of severalThe one business-plan tool your staff will actually use
What are the rules?General advice about privacyYour own one-page rule: what's approved, what never goes in, who checks the output
What happens after?Back to work, and old habitsSaved instructions for recurring tasks, a named person to ask, and ideally a build to use

MBIE makes the same point in its voluntary Responsible AI Guidance for Businesses (July 2025): prompting courses are widely available, many of them free online, and they work best when paired with guidance that reflects your own business. It also suggests foundational training for all staff on the fundamentals of AI, using generative AI responsibly, the uses the business allows, and its limitations.

Settle the tool and the rule first

Training staff on a tool they're using in personal accounts teaches the wrong habit, so decide the tool and the rule before anyone learns prompts.

  • Pick one tool, on a business plan. Copilot if the work lives in Word, Excel and Outlook, Gemini if you run on Google Workspace, ChatGPT or Claude for writing, research and code. The full comparison, with current NZ prices, is in ChatGPT, Claude, Copilot or Gemini: which should a NZ business use?
  • Move the work off personal accounts. In the businesses I talk to, staff using their own ChatGPT accounts for work is extremely common. The business has no control over what goes in and keeps nothing when the person leaves. Start with is it safe for staff to use their own ChatGPT accounts?
  • Write the one-page rule. Which tools are approved, what never goes in, who checks the output, when customers are told, and who to ask. The workshop is where the team learns it, argues with it, and agrees it.

The Privacy Act 2020 applies to AI tools the same as anything else. The Privacy Commissioner's expectations for generative AI ask for senior leadership approval, a person reviewing outputs before anyone acts on them, and no personal or confidential information going into a tool unless the provider has confirmed it won't be retained or disclosed.

What a session covers

A session works through the rules, then the team's own tasks live in the chosen tool, then how to check and own what comes out. As an example to adjust to your team, a half-day session might run in four parts:

PartWhat happens
The ground rulesThe approved tool, the one-page rule, and what never goes in, with the reasons.
Your own work, liveEach person brings real tasks: a reply to draft, a report to summarise, a spreadsheet to analyse, a procedure to turn into a checklist. We do them in the tool, together.
Checking the outputWhere AI gets things wrong, how to spot it, and the rule that a person reads and owns anything that goes to a customer.
Keeping it goingSaving what worked as written instructions for recurring tasks, and agreeing who to ask and how to suggest new uses.

The team should walk away with everyone in the company account rather than a personal one, the rule agreed, their own instructions for the tasks they repeat every week, and one thing they will do differently tomorrow. Mixed confidence is normal: the person who has never opened ChatGPT and the one who uses it for everything need the same rules.

Training attached to a real build

The training that sticks is attached to something the team will use the next morning, not a slideshow they will forget by Friday.

For an Auckland electrical contractor, a staff training programme took a team with mixed AI confidence to daily use. It was followed by a build: a mail connector on AWS that reads three mailboxes, and a project intake that turns each new project into a job folder and a document pack from one intake. It's in production, listed as EZ-ELE-15 in the build record on the homepage. Training first means a team already knows what AI is good at, where it goes wrong and what they still own by the time a build arrives.

It works the other way too. Every build I do includes training for whoever uses the system before it goes live, written documentation, and a test mode so nothing touches live data until you have seen it work. In the published law firm, insurance broker and retail case studies, testing and training is its own stage before full operation. There's more on that handover in how to implement AI in your business.

On site or remote, and what it costs

A half-day workshop is NZ$2,400 and a full day NZ$4,200, fixed price and excluding GST, as of October 2026. The price includes preparing the session on your own documents and tasks and drafting the one-page staff AI rule. Small advice jobs are billed hourly at a rate agreed upfront, and travel outside Auckland is quoted separately.

OptionHow it's priced, as of October 2026
A half-day workshop for your team, on site in Auckland or remote anywhere in NZNZ$2,400 fixed price, preparation included
A full-day workshop, or a half day plus a follow-up sessionNZ$4,200 fixed price, preparation included
Training for whoever uses a system I buildIncluded before go-live on every build, with written documentation and a test mode
A policy review, a follow-up question, an hour of helpHourly, at a rate agreed upfront
A build the team can use, like automation across your tools or an AI assistant on your own documentsFixed price: automation from NZ$500, AI assistants from NZ$3,000

Prices exclude GST. The full price list is on the pricing page, and how I work with a business from first call to support is on the AI consultant page.

Before you book

Four things make a workshop far more useful, and none of them takes long.

  • A decision on the tool. If you haven't made one, the free call is a good place to start.
  • A few real tasks from each role. The emails, reports and spreadsheets people actually spend time on, including the awkward ones.
  • An honest picture of current use. Who already uses AI, on what account, for what. Nobody is in trouble.
  • A named owner. One person who keeps the rule current and fields questions. The tools change fast enough that it needs a look every six months.

Frequently asked questions

Who provides customised AI workshops for businesses in New Zealand?

Ez-AI, an Auckland AI and automation consultancy run by Skene Bennellick, runs customised AI training for NZ business teams, on site in Auckland or remotely anywhere in New Zealand. Each session is built on the team's own documents and tasks, the AI tool the business has standardised on, and a short staff AI policy. A half-day workshop is NZ$2,400 and a full day NZ$4,200, fixed price and excluding GST, booked after a free 30-minute call.

Do you run Copilot training for Microsoft 365 teams?

Yes. If the business runs on Microsoft 365, the session is done in Copilot, inside Word, Excel, Outlook and Teams, on the team's own files. The same applies to ChatGPT, Claude or Gemini. I train on the tool you have already chosen rather than adding another; if you haven't chosen, that decision comes first.

Is ChatGPT training worth it if staff already use it?

Usually, yes. In the NZ businesses I talk to, staff often already use ChatGPT on personal accounts, by trial and error. Training moves the work into the company account, sets out what never goes in, and replaces guesswork with methods tried on the team's real tasks, so everyone works to one standard.

Can staff put customer information into ChatGPT or Copilot?

Only within rules the business has set. The Privacy Commissioner's expectations for generative AI say not to put personal or confidential information into a tool unless the provider has confirmed it won't be retained or disclosed, and to have a person review outputs before acting on them. A business plan, a one-page staff rule and training on both cover most of that.

What does AI training cost in NZ?

As of October 2026, a customised half-day workshop with Ez-AI is NZ$2,400 and a full day is NZ$4,200, fixed price and excluding GST. That includes preparing the session on your own documents and tasks and drafting the one-page staff AI rule. Travel outside Auckland is quoted separately. Small advice jobs are billed hourly at a rate agreed upfront, and training for whoever uses a system is included before go-live on every build.

Want a workshop built on your team's own work?

Tell me on a free 30-minute call what your team spends its day on and which AI tool you have settled on, if any. I'll tell you what a session should cover, whether it belongs alongside a build, and what it would cost as a fixed price, before anything is booked. Discovery is always free.

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