Practical AI training · Sydney
Teach your team to use AI with judgement.
Hands-on training using your team’s real work—not a generic presentation about the future of AI.
The business case
Less friction. Better visibility. A system people understand.
Mavat helps teams use ChatGPT, Claude and related tools more effectively for research, drafting, analysis and administration. Training is shaped around roles, information sensitivity and the tasks people actually perform.
In many businesses, AI use is already happening—just unevenly. A few people have found useful shortcuts, others have tried once and been disappointed, and nobody is quite sure what information is safe to paste in. Training closes that gap by giving the team shared methods, shared boundaries and examples drawn from their own work.
The aim is judgement rather than dependence: knowing when AI helps, how to give it enough context to be useful, how to check what comes back, and when a task should stay entirely human.
- Role-specific prompts and repeatable workflows
- Clear guidance on sensitive information and verification
- Better drafting, research and document workflows
- A practical adoption plan after the session
Where value is usually hiding
01
Inconsistent use
Give the team shared methods instead of isolated experimentation.
02
Low-quality outputs
Teach context, iteration, source checking and appropriate model selection.
03
Privacy uncertainty
Set straightforward boundaries for confidential, personal and regulated information.
How Mavat works
From operational friction to a working system.
Understand the roles
We identify high-value tasks and the risks attached to each team.
Train through real examples
Participants work through relevant scenarios with ChatGPT and Claude.
Agree the boundaries
The team leaves with plain guidance on what information can be used, what must be checked and what stays out of AI tools.
Leave reusable tools
Your team receives agreed workflows, examples and next-step recommendations.
What the training covers
Sessions typically cover how to give AI tools useful context, how to iterate towards a better result, how to check facts and sources, and how to choose between tools for different tasks. The exercises use scenarios from the team’s own roles, such as drafting correspondence, summarising documents, preparing reports or researching a topic.
Just as important is what not to do. Teams leave with practical guidance on confidential and personal information, on verifying outputs before they are relied on, and on keeping accountability with the person who signs off the work.
From training to working systems
Training often surfaces workflows that would benefit from automation rather than individual prompting—tasks that happen every day in the same way. Those can be scoped separately as AI automation, with controls and human review designed in.
Mavat’s training is independent. ChatGPT and Claude are trademarks of their respective owners, and no partnership or endorsement is implied.
Straight answers
Questions before you begin.
Is the training suitable for beginners?+
Yes. Sessions can start with fundamentals or focus on more advanced workflow design for experienced users.
Can training be tailored by department?+
Yes. Examples can be shaped for operations, administration, leadership, sales or other defined roles.
Is this product-specific certification?+
No. It is practical business training designed around your team’s work and responsible use of current AI tools.
Which tools does the training use?+
Training focuses on ChatGPT and Claude, and related tools where relevant. The methods—context, iteration and verification—carry across tools.
Will you cover privacy and confidential information?+
Yes. Clear boundaries for confidential, personal and regulated information are a core part of every session, shaped around the kind of information your team handles.
What does the team keep after the session?+
Agreed workflows, worked examples and next-step recommendations, so the practices continue after the training rather than fading.
How long is a training session?+
Format and length are agreed with you based on the team’s size, roles and experience. Some teams benefit from a single focused session; others from a short series that builds from fundamentals to workflow design.
Can training lead to an automation project?+
It can, but it does not have to. When training reveals repeatable workflows worth automating, those can be scoped separately after a fit call.
Related
Start with the part of your week that should not be this hard.
Tell Angelo what is slowing the team down. The fit call is free; detailed workflow analysis and the recommended build plan are completed through a paid Workflow Blueprint.
Book a fit call