Private vs public AI training: workplace session or a public workshop seat?

Quotes, replies and reports keep landing back on your desk. You want the first draft done faster, and you want to trust what comes out. Book private training at your workplace when a team needs to agree on one repeated task, and take a public workshop seat when one or two people want hands-on help with a task of their own. We build training around your business tasks, source material and the output you need, and we help you build and test a workflow you can use again.

Key takeaways

• We bring private AI training to your workplace. Our public Sunshine Coast workshop gives you four hours to work on one repeated business task.
• Private sessions are scoped for roughly 4–20 people, and larger teams can be split across sessions. Take a seat when one person needs hands-on help.
• Private training is priced by fixed quote. Team size, session length and travel determine the price.
• You leave with a five-input workflow, Context, Task, Source, Rules and Output, plus the example you tested.
• Public tools process data externally, and user inputs may be retained to train the model further 1. Pasting confidential data into public chatbots adds a layer of vulnerability 2, so bring a safe example.

What is the difference between private workplace AI training and a public workshop seat?

Private training takes place at the team's workplace. The public workshop is a four-hour seat on the Sunshine Coast spent on one repeated business task. In both, you build on your own laptop with hands-on help.

AI drafts quotes, replies, reports and admin documents from information you supply. You check the work before it reaches a customer.

Should you train your whole team onsite or send one person to the workshop?

Train the whole team onsite when your people do the same work in different ways and need a shared starting point. Send one person to the workshop when they want hands-on help with a task from their own desk.

In a private session, we help your team agree on the source material, instructions and review process for a repeated task. You check the output against the information your business supplied. Private sessions are scoped for roughly 4–20 people, and larger teams can be split across sessions. We work with business owners and teams across industries.

What does each option cost and how is a private quote worked out?

A public workshop seat is A$495 including GST per person. Private training is priced by fixed quote.

After your enquiry, we discuss your team's tasks, location and experience. We agree on the training scope and prepare a fixed quote. Team size, session length and travel determine the price. Each person brings the laptop they will use afterwards, and tool and account requirements are confirmed during scoping. Request a team quote, or join the waitlist for a seat.

Where can private training happen, and where does the public workshop run?

Private onsite AI training is available on the Sunshine Coast and in Brisbane, Gold Coast, Ipswich, Noosa, Moreton Bay, Logan, Redlands, Toowoomba and Gympie. The public workshop runs in person on the Sunshine Coast.

Sunshine Coast onsite training covers Maroochydore, Caloundra, Mooloolaba, Buderim, Birtinya, Nambour and Coolum. People from other areas can travel to the Sunshine Coast public workshop.

What does your team build during a session?

Your team builds a five-input AI prompt for one repeated job, and you keep the instructions and the example you tested during the session.

The five inputs are Context, Task, Source, Rules and Output. Context describes the business, customer and situation. Task names the job the AI assistant needs to do. Source supplies the notes, documents or approved facts for that job. Rules set the limits and identify missing information to flag. Output describes the format and information the finished draft needs to contain.

We build these workflows in real businesses. We helped automate Radiant Roof Repairs' internal processes using AI. We used AI to automate SEO, enquiries and admin for Glen House Homoeopathy. In our own business, Searchmaxxed, we built AI workflows for creating blog posts, doing SEO and preparing custom proposals.

What do 'public AI' and 'private AI' mean when people compare the tools?

Public AI models are open to a broad, general audience through open platforms, APIs and cloud service providers 3. Private AI systems are tailored to the business objectives and requirements of each organisation 4.

Technology developments in large language models and the release of generative AI tools, including ChatGPT from OpenAI, have driven much of this 5. Public models are trained on large, diverse public datasets covering text, images and more 6, and they run on the provider's infrastructure 7. ChatGPT is an example, trained on publicly available data from across the internet, such as text articles, images and videos 8. ChatGPT, Gemini and Microsoft Copilot fall into this category 9.

Private AI is trained on your data 10. These systems train on proprietary data and information, use organisation-specific algorithms and models, and are developed so that only explicitly authorised and monitored access is possible 11. The models are unique to the enterprise and never shared 12. On-premise AI or a secure private cloud allows internal management with access restricted to authorised users 13.

What changes when your team uses public AI tools on real business information?

Your data leaves your control. Public AI offers rapid adoption, minimal setup and broad functionality, from content generation to customer service and productivity tools 14, with a lower-cost entry point 15. No infrastructure setup or installation is required, which suits fast experimentation, proof-of-concept testing and low-effort integrations 16. Data is processed externally, and user inputs may be retained to train the model further 1.

Providers of public AI often train their models using customer data to improve their own services 17. As a customer, your own data is not fully private to you 18. You share private data with the AI provider, who stores it online and uses it for further learning 19. Employees pasting confidential data into public chatbots add a further layer of vulnerability 2, and 95% of enterprises identify cloud security as a key concern 20. Public tools limit control, privacy and customisation 21. The alternative carries a higher upfront investment 22, because organisations fund infrastructure such as servers, GPUs and storage, and may need to hire AI specialists for model development and training 23.

Your business task determines the training example. Pick a specific piece of work: a quote from one site visit, a reply to one customer question or a weekly update for one property, and bring the information needed for that task. Participants test the workflow on a safe example and check the result against their source material. Compare names, dates, figures and claims with your source. Recalculate totals. Check that the draft answers the request and stays within your scope. The person responsible for the work approves the final version.

Frequently asked questions