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PROJECT · VET SECTOR

Assessment validation, with evidence attached to every judgement.

For a national skills organisation, we built a platform that validates assessment against the national training register, with a Recognition of Prior Learning component and analytics across the whole pipeline.

        BUILT BY XPONIXAIFOR A NATIONAL SKILLS ORGANISATIONVET SECTOR
      

Illustrative concept using fictional data, not a client screen.

Illustrative validation dashboard concept with fictional data: overall validation coverage, units with high-risk gaps, thin evidence areas, revalidation due, and charts of recurring gaps by unit

THE CLIENT

A national skills organisation working across Australia's vocational education and training system, responsible for keeping training and assessment aligned with what industry actually needs.

THE CHALLENGE

Assessment validation is high-stakes and manual. Tools must be checked against the units they assess: elements, performance criteria, knowledge evidence, assessment conditions. With thousands of interconnected training products, each in current and superseded versions, a single validation cycle involved extensive manual cross-referencing.

THE ENGAGEMENT

A use-case discovery phase mapped where AI could lift the most load, then we designed and built the platform: assessment validation at its core, a Recognition of Prior Learning component alongside it, and an analytics layer across everything.

THE SOLUTION

Three capabilities, one workspace.

Assessment validation, cited

Assessment tools are validated against the training products they assess. The platform checks coverage of elements, performance criteria, knowledge evidence and assessment conditions, flags gaps, duplication and overreach, and attaches a citation to every finding. Validators start from an evidence-backed report instead of a blank checklist.

WHAT THE CHECK COVERS

ElementsEach element of the unit addressed by the tool

Performance criteriaEvery criterion covered, with the task that assesses it

Knowledge evidenceRequired knowledge matched to questions and tasks

Assessment conditionsEnvironment, equipment and supervision requirements met

Findings flagged: Gaps Duplication Overreach each with a citation to the register

Illustrative RPL workspace concept with fictional data: a candidate's units mapped against current requirements, a draft recommendation and a gap list, with assessor review still in progress — Candidate evidence mapped to units, a draft recommendation and a gap list, awaiting assessor review. Fictional data.

A Recognition of Prior Learning component

The same register grounding powers RPL. Candidate qualifications, including superseded versions, and workplace evidence are mapped against current unit requirements, producing a draft evidence mapping and gap list for assessor review. This is an RPL assessment recommendation, not credit transfer: the assessor makes the recognition decision, and the AI does not award anything.

Analytics across the pipeline

Dashboards show validation coverage, recurring gaps by unit and cohort, and where evidence runs thinnest. Quality teams prioritise revalidation where risk is highest, and walk into audits with the trend data already assembled.

Illustrative analytics concept with fictional data: recurring gaps by unit, evidence thinness by area, gap types and a priority revalidation list — Recurring gaps by unit, evidence thinness by area and a priority revalidation list. Fictional data.

UNDER THE HOOD

The platform runs on a retrieval-augmented architecture over national training register data, indexed with Azure AI Search, so every finding is traceable to source content rather than model memory. Approval-conscious workflows, criterion-level flags and exportable evidence tables reflect the audit expectations of the VET sector.

THE OUTCOME

Validators start each cycle from an evidence-backed report, with every finding carrying its citation. RPL assessors start from a draft evidence mapping rather than a folder of documents. Quality conversations start from data, not recollection.

Validation and RPL still done by hand?

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