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Brisbane, Australia
February 2026
8 min readWorkflow Demo

QualiTrans: Student Management, Credit Transfer & RPL

How GetPost Labs would build the credit transfer and RPL team's workflow: applications matched to past decisions and evidence gathered by AI agents, unit and student-record checks held by rules, and every credit and RPL outcome decided by a qualified assessor. The student record and audit trail are kept on the same file.

Conceptual Prototype — Illustrating our approach

Executive Summary

The Problem: Every credit transfer or RPL application means reading a transcript or a pile of workplace evidence, finding whether the same prior study has been assessed before, mapping it to the units, and recording the outcome in a way an auditor will accept. The precedents sit in a database or a spreadsheet, the evidence in email attachments and the outcome in the student management system, so each application is assembled by hand.

The Solution: QualiTrans gives the precedent search and evidence mapping to AI agents, keeps the student-identifier, unit-equivalence and record-keeping checks as fixed rules in software, and leaves every credit and RPL decision with a qualified assessor. The application, evidence, decision and student record sit on one file.

The Outcome: Assessors spend their time on the judgement calls instead of searching for precedents, students get consistent outcomes, and each decision keeps its own audit trail.

1

The Challenge

Understanding the problem space

"Manage the implementation and maintenance of the credit precedent database"

— A duty listed in a current Australian credit transfer & RPL team leader job ad (SEEK, September 2026)

Credit decisions and compliant records are the core of the work. Across 7 current RTO and university credit, RPL and compliance ads, the same duties come up again and again: assess credit transfer and RPL applications, keep the precedent database current, maintain student records and enrolments, run internal audits and meet the standards set by ASQA or TEQSA.

Most of that work is cross-checking information that already exists somewhere else — the student's transcript, earlier decisions for the same qualification, the unit requirements, the enrolment in aXcelerate or the student management system. When it lives across a database, email and a spreadsheet, every application is assembled by hand, and one inconsistent decision or missing piece of evidence is exactly what an audit picks up.

6 of 7
ads mention RTO standards, ASQA or TEQSA
5 of 7
ads mention audits
4 of 7
ads mention keeping records

Source: 7 credit, RPL and RTO compliance job ads in Australia on SEEK, September 2026. Employers not named.

2

The Solution

What GetPost Labs would build

Core Capabilities

Precedent Matching (AI agent)
Searches past decisions for the same prior qualification or unit and shows the assessor how it was decided before
Evidence Mapping (AI agent)
Reads transcripts and workplace evidence and maps each piece to the unit requirements, listing the gaps
Student & Unit Rules
Student identifier verified, units checked for equivalence and currency, and applications checked complete by fixed rules, not AI
Assessors Decide
Every credit and RPL outcome is decided by a qualified assessor; the agent prepares, never grants credit
Outcome Letters (AI agent)
Drafts the outcome letter and the updated study plan for the assessor to approve
Audit-Ready Student Record
Application, evidence, decision and reasons kept together, and added to the precedent database for next time
3

Where the Time Comes Back

Assessing, not searching

The credit and RPL team stops assembling each application by hand and starts assessing what the agent has prepared:

Precedent Search

Before

Search the precedent spreadsheet by course name, then by institution, then ask a colleague whether it has come up before.

After

The agent shows the earlier decisions for the same prior study and how they were reasoned. The assessor starts from there.

RPL Evidence

Before

Read through the student's evidence pack and map each document to the unit requirements by hand.

After

The agent has mapped the evidence to each requirement and listed the gaps. The assessor judges the evidence, not the filing.

Student Records & Audit

Before

Enter the outcome in the student management system, file the evidence somewhere else, and rebuild the trail when the auditor asks.

After

A rule records the outcome against the student and units, keeps the evidence and reasons with it, and adds it to the precedents.

4

BPMN Workflow

The business process modelled

Credit Application: Lodged to Recorded

StudentAI AgentRules in SoftwareAssessorApplicationSubmit EvidenceStudent & UnitsMatch PrecedentsMap EvidenceAssessor DecidesDraft OutcomeRecord & AuditRecorded
Student
AI Agent
Rules in Software
Assessor
AI agent task
Rule in software
Person
5

User Journey

A Credit Application, Lodged to Recorded

Scenario: A registered training organisation receives a credit transfer and RPL application from a new diploma student who has a certificate from another provider and several years' work experience.

1
StudentSubmit Evidence

Uploads their earlier certificate and transcript, a résumé and a letter from their employer through the student portal

2
Rules in SoftwareStudent & Unit Checks

Verifies the student identifier, checks which prior units are listed as equivalent to current ones, and confirms the application is complete

3
AI AgentMatch Precedents

Finds earlier decisions for the same certificate from the same provider and shows how they were decided

4
AI AgentMap Evidence

Maps the work evidence to the RPL units and lists what is missing for one unit

5
AssessorDecide

Grants credit for the equivalent units, grants RPL for two others, and asks the student for more evidence on the last one

6
AI AgentDraft Outcome

Drafts the outcome letter and the updated study plan. The assessor approves it and it goes to the student

7
Rules in SoftwareRecord & Audit

Outcomes recorded against the student and units, evidence and reasons kept with them, and the decision added to the precedent database

Outcome: The student gets a consistent outcome with every check, piece of evidence and decision on one record. The agent prepared it; the assessor decided it.

6

Interactive Prototype

Functional dashboard demonstrating the concept

QualiTrans
QualiTransCredit Mapping

Credit Mapping

97% time saved

124
Mappings
180 hrs
Saved
99.8%
Accuracy
18
Qualifications
Recent Mappings
BSB50420 → BSB5082010 mapped / 2 gaps
CHC50121 → CHC5022112 mapped / 3 gaps
ICT50220 → ICT503208 mapped / 1 gaps

© 2026 GETPOST Labs. Full Stack Engineering Solutions.

Functional prototype. Click on cells and entries to see interactions.

7

System Context

Where QualiTrans fits in the ecosystem

SYSTEM INTEGRATIONStudent ManagementEnrolmentsStudent recordsResultsAPIQualiTrans• AI precedent matching• Unit & record rules• Audit trailAPIStudentsApplicationsTranscriptsWork evidenceAPIRegulator ReportingASQA / TEQSA auditsStudent identifiersPRISMS

Have a Similar Problem?

This is the kind of workflow automation GetPost Labs builds. If your organisation has similar challenges, we'd love to discuss how a custom solution might help.