Check enrolment documents
Compare each enrolment file against your checklist and list what is missing, such as pre-enrolment documents that have not been sent.
What AI could run / training organisations and schools
AI prepares the paperwork. Your staff make the decisions.
Enrolment checks, routine student replies and compliance evidence packs can be prepared by a connected AI agent inside the systems your organisation already uses. Staff review everything. Decisions about students, including assessment, stay with qualified trainers and assessors. ASQA's July 2026 principles say AI must not replace human decision-making.
Discuss your businessPotential implementation areas
Define the work.
Keep the decision.
Draft routine replies
Prepare answers to common questions about fees, dates and who to contact, using information your organisation has approved, for staff to review before sending.
Collate the evidence
Gather records into an evidence pack for an audit or the annual declaration, and flag where a reference is missing, for the responsible person to check.
Example / not a live deployment
AI prepares.
A person decides.
Illustrative example
Students told how AI is used → Agent checks and drafts → Staff member reviews → Staff approve what is sent or filed → Assessment stays with assessors → Record kept
Nothing is sent, filed or declared until a person has checked it. Marking, assessment judgements and decisions about a student's progress stay with trainers, assessors and teachers.
What the rules say
What ASQA and the schools Framework say
ASQA released five principles for the responsible use of AI in VET on 30 July 2026. They add no new requirements. They explain how to apply existing obligations, including the 2025 Standards for RTOs.
ASQA, Responsible use of AI in VET, PrinciplesDecisions affecting students stay the responsibility of qualified trainers, assessors and staff. AI must not replace human decision-making, evaluation or accountability.
ASQA, Responsible use of AI in VET, Principle 2When a provider uses an off-the-shelf AI tool, it remains responsible for due diligence so that student privacy and security can be maintained. ASQA's questions ask where student data is processed and how students are told.
ASQA, Responsible use of AI in VET, Principle 3An RTO must comply with all applicable laws, for example by collecting, using and disclosing personal information in line with applicable privacy laws.
Compliance Standards for RTOs 2025, clause 20ASQA's information guide gives, as an example, enrolment information that says how AI tools may be used in training or assessment. It lists as a known risk having no adequate human oversight of enrolment information produced with AI tools.
ASQA, Information practice guide, Standard 2.1ASQA's credit transfer guide gives, as an example, clear rules on using AI to verify qualification documents, with human oversight for all decisions. It lists over-reliance on AI to verify documents as a known risk.
ASQA, RPL and credit transfer practice guide, Standard 1.7ASQA lists as known risks using AI to produce or change credential templates, or documents carrying the Nationally Recognised Training logo, without human review.
ASQA, Integrity practice guide, clauses 11 and 13ASQA lists AI-generated answers on the annual declaration on compliance that do not reflect what the RTO actually does as a known risk, and gives retaining evidence for each answer as an example of good practice.
ASQA, Accountability practice guide, clause 15ASQA lists relying too heavily on AI-enabled student support, without enough access to human staff, as a known risk. Its questions ask how students know when AI support is in use and how to reach a person.
ASQA, Training support practice guide, Standard 2.3For schools, the national Framework says teachers and school leaders keep control of decisions supported by generative AI, and that school communities are informed when these tools affect them.
Australian Framework for Generative AI in Schools, statements 5.1 and 3.2The Framework also says tools should avoid unnecessary collection of student data, limit how long it is kept, and prohibit its sale, and that communities are told what data is collected and shared, with consent sought where needed.
Australian Framework for Generative AI in Schools, statements 6.1 and 6.2
This page summarises regulator guidance and is not legal or compliance advice. ASQA says its principles add no new requirements, and its practice-guide examples illustrate its thinking rather than add rules. Read the sources and take your own advice.
Questions training organisations and schools ask
Clarity before commitment.
Has ASQA said anything specific about AI?
Yes. ASQA released five principles for responsible AI use on 30 July 2026, and its practice guides list AI examples and known risks under several standards. ASQA says the principles add no new requirements.
Does this mark or assess student work?
No. Assessment judgements stay with assessors, and ASQA's assessment guide lists marking with AI tools without clear oversight as a known risk. We do not offer it.
Do students need to be told about AI?
ASQA's information guide gives, as an example, enrolment information that says how AI tools may be used. Principle 3's questions also ask how you advise students and gain consent when AI processes their personal information. These are ASQA's questions and examples, not written rules, so check them against your own obligations.
Does this cover schools?
The national Framework applies to generative AI in school education and describes itself as aspirational. States, territories and school sectors set their own policies, which this page does not cover. Check yours before using any tool.
Related industries
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