AI training for staff, using your own work

What AI training for staff covers

AI training for staff covers choosing a suitable task, giving clear instructions and checking the result before using it. We teach people to identify the source material, describe the required output and tell the tool what to flag rather than guess.

For a report summary, staff might practise preserving sample identifiers, separating confirmed findings from open questions and checking statements against the notes. Each exercise follows your standards for a first draft.

Who the training is for

The training is for teams that need to use an agreed AI tool competently on real work. We work with businesses of roughly 10 to 150 staff, particularly professional and technical firms, across Australia.

Some staff may be starting from scratch while others already use AI without a shared method. We agree exercises around their roles: a drafter needs to supply useful evidence, a reviewer needs to spot unsupported statements, and a manager needs to know when the work is ready to approve.

What your team takes away

Your team takes away task instructions and checking habits they can use after the sessions. We agree the staff groups, tool and exercises in advance. You own the prompts and training materials we create for your business.

• Practical AI workshops using approved examples from the tasks your staff perform.
• A prompt library: reusable instructions that state the task, source material, output format and checking requirements.
• Worked examples showing an initial output, the checks applied and the corrections needed.
• A staff guide covering approved accounts, permitted information and when to ask for help.
• A reviewer checklist for facts, source references, missing information and statements requiring professional judgement.
• An agreed practice and measurement plan, with an owner for keeping the prompts current.

From choosing examples to staff practice

We agree the timetable around staff groups, task complexity and time to practise. When sessions accompany tool setup or a build, that stage typically takes two to six weeks. A separate review, if needed, takes about two weeks first.

1. 01
   Week 1: choose tasks and prepare examplesWe speak with a manager and staff representatives, agree the approved tool and choose examples. We record how the work is currently done and confirm what information people may use.
2. 02
   Week 2: practise drafting and checkingStaff work through the agreed exercises, compare the output with source documents and correct mistakes. We turn useful instructions into prompts the team can repeat and adapt.
3. 03
   Weeks 3 to 6, where agreed: apply and refineStaff try the prompts on further approved work and bring back difficult outputs. We address recurring problems, refine the library and review the measures with the manager. A smaller training scope can finish earlier.

How we measure whether training is working

We measure whether staff can complete an agreed task to the required standard, with less total handling time. We compare preparation, review and correction time before and after practice, alongside missed facts and unsupported statements.

Measures can also include regular use of the agreed method and which prompts staff keep using. Attendance alone is not the result. If a prompt creates extra checking work, we revise it or stop using it rather than count the output as a time saving.

Which tools we teach

We teach the tool selected for your work, including Copilot training and ChatGPT training for business. We work with tools such as Microsoft 365 Copilot, ChatGPT Enterprise, ChatGPT Team, Claude for Work and Gemini for Google Workspace.

We keep exercises focused on the account and documents staff are authorised to use. If access, permissions or account settings need attention first, we can scope tools and setup before asking the team to practise on confidential work.

How we handle training data and security

Training uses approved examples and business-grade AI accounts that do not train on your data. We agree data handling in writing, work within your systems wherever possible, offer a confidentiality agreement (NDA) and delete working copies at the end.

We confirm which material may be used and where it would be processed before the session. Staff learn what to leave out, how to identify an unsupported claim and when to refer a decision to a manager. People approve anything sent to a client and any consequential professional, commercial or technical statement.

What we need from you

We need a manager to choose the priority tasks and give staff time to practise. Provide approved examples, the relevant templates, an authorised AI account for participants and your existing rules for handling information. Nominate someone to maintain the prompt library and gather questions after training.