Prototype · currently in development

AI for Australian RTOs

AI for every part of the training journey

Optimise delivery, evidence, and outcomes across your RTO with human-in-the-loop AI.

Optimiser can assist with drafting, mapping, and review. Assessment judgements remain the responsibility of appropriately credentialled assessors.

See how it works

Human in control Your team approves what gets used. Evidence-led Source and context stay visible. Built for RTOs Training workflows, not generic chat.

Inputs

Training materials

Assessment tasks

Learner data

Compliance rules

AI processing

Understand & classify

Generate & optimise

Analyse & flag for review

Human gate

Human review & decision Approve, edit, or request changes.

Outcomes

trainers

learners

student recruitment

RTO teams

Where Optimiser supports the work

Four AI categories, one human gate

Each category can use different AI workflows, but the principle stays the same: Optimiser shows the source, the suggestion, and the review point.

Training and assessment

AI for trainers

Draft, map, and refine training and assessment work, with trainers approving the output.

Learning resources
Assessment mapping
Review notes

Embedding similarity Mapped to source

Learner support

AI for learners

Help learners get unstuck with answers grounded in approved training information.

Human escalation: Your organisation defines the escalation rules. Matters involving wellbeing, complaints, assessment decisions, or other issues requiring human judgement are referred to nominated staff.

Study help
Staff-defined triage
Human escalation

Intent classification Escalates to people

Recruitment and orientation

AI for student recruitment

Support enquiries, orientation, and follow-up, with staff handover where judgement matters.

Orientation calls
Follow-up
Staff handover

Decision trees Human handover

Approved knowledge

AI for RTO teams

Give staff a shared source of approved answers, policies, and guidance.

Approved knowledge
Policy answers
Marketing checks

Knowledge graph Source-backed

Human in the Loop

AI can organise the work. People decide what gets used

Optimiser is designed around review points. AI can classify context, map requirements, draft answers, and recommend next steps, but important outputs are held for trainer, staff, or support-team judgement before release.

01 Classify
Inputs are grouped into the right category of training work.
02 Map
Suggestions stay tied to their source, requirement, or approved knowledge base.
03 Human review
Your team reviews the context, asks for changes, and approves the output.
04 Approve
Approved outputs move forward with a visible record of the decision.

Built for Australian VET

Grounded in how RTOs actually work

The prototype avoids broad automation claims. It focuses on workflows where source, mapping, review, and escalation matter.

Training package context

Use training packages, units of competency, learning resources, and assessment mapping as first-class inputs.

Approved knowledge

Give staff and learner-facing workflows answers grounded in reviewed organisational information.

Support escalation

Route learner or recruitment questions to people when the answer needs judgement, risk handling, or personal support.

Start with the right workflow

See where AI can support your RTO first

Start with the workflows where your team needs better drafts, clearer mapping, or faster support, then keep people in control of the final decision.

Citation log

Sources are grouped by their role in the VET system. Legislation and registered instruments take precedence over regulator guidance and supporting frameworks.

Sources reviewed as at 9 September 2026 and periodically re-checked for currency.

Law, standards and regulation

Binding requirements and regulator guidance for nationally registered RTOs.

NVR Act 2011 The primary Commonwealth legislation establishing the national VET regulator and regulatory framework.
Outcome Standards for RTOs 2025 The current outcome standards for training, assessment, student support, workforce and governance, including the principles of assessment and rules of evidence.
Compliance Standards for RTOs 2025 The current compliance, marketing, transparency, integrity and fit and proper person requirements.
ASQA Standards for RTOs 2025 ASQA’s overview of the standards that took effect on 1 July 2025.
ASQA 2025 Standards practice guides Practical, non-prescriptive guidance on ASQA’s regulatory expectations and evidence considerations.
ASQA Assessment Practice Guide Guidance for assessment systems, assessment-tool review, principles of assessment, rules of evidence and validation.
Australian Qualifications Framework The national policy for qualification levels, learning outcomes, volume of learning, credit transfer and RPL.
National VET regulatory framework The broader regulatory context across ASQA, state regulators and national quality arrangements.

Training products and sector governance

Registers and frameworks used to identify current training products and their requirements.

training.gov.au The National Training Register for current training packages, qualifications, skill sets, units, accredited courses and RTO registrations.
Training Package Organising Framework The product and process requirements for developing national training package products from 1 July 2025.
Jobs and Skills Councils The 10 industry-owned and industry-led bodies responsible for training product development in their sectors. DEWR currently has temporary oversight of the TAE and FSK Training Packages.
ASQA course accreditation Requirements and context for nationally recognised VET accredited courses outside training packages.

Foundation skills and learner systems

Frameworks and national systems that support learner capability, identity and reporting.

Australian Core Skills Framework The national framework for describing and mapping learning, reading, writing, oral communication and numeracy performance.
Digital Literacy Skills Framework A foundation-skills framework for benchmarking and mapping digital literacy up to Level 3.
Unique Student Identifier The national student identifier system used to connect a learner’s recognised training records.
PRISMS The Australian Government Provider Registration and International Student Management System used by providers for Confirmation of Enrolment and international student reporting under the ESOS framework.

Research, workforce and responsible AI

Evidence and policy sources used to understand VET outcomes, workforce context and responsible AI use.

NCVER VET qualification completion rates The maintained collection for VET qualification completion-rate releases and supporting data.
NCVER research and statistics The national research and statistics source for VET participation, outcomes, providers and students.
Jobs and Skills Australia National evidence and advice on skills needs, workforce trends and the adequacy of the skills system.
Guidance for AI Adoption Current Australian guidance for AI governance, risk management, transparency, testing and human oversight.
OAIC guidance on privacy and AI products Privacy Act and Australian Privacy Principles considerations when AI systems handle personal information.
Australian Government AI Ethics Principles The eight voluntary principles for safe, fair, transparent, accountable and human-centred AI. The 2025 Guidance for AI Adoption evolves these principles and the Voluntary AI Safety Standard into six essential practices.