AceRPL is an AI-powered Recognition of Prior Learning platform that helps candidates compile, organise, and submit evidence of prior learning and professional experience.
Recognition of Prior Learning (RPL) can feel messy for assessors and applicants alike. AceRPL changes that. Using intelligent workflows and AI assistance, it guides users through each step: mapping evidence, submitting documentation, generating reports, and aligning with standards.
It’s not just a system it’s an assistant for RTOs. With automated templates, streamlined reviews, and smart matching, AceRPL reduces admin time while raising the bar for quality.
AI-guided tools help users compile and organize learning evidence.
AI suggests relevant sections based on user data and goals.
AI-driven automation of the RPL approval process.
AI tools assist in aligning portfolio content with professional resumes.
AceRPL helps institutions reduce administrative workload, simplify evidence submission, increase process transparency, and maintain centralized documentation for RPL assessment.
Reduce the administrative workload for assessors and admin staff.
Compliance tools reduce rework and rejections.
Clear instructions, real-time updates, and easy submission process.
Candidates and assessors know their status in the process.
Keep all documentation in one secure, retrievable location.

Data Security: All candidate and assessment data is encrypted at rest and in transit.
Regulatory Alignment: Meets ASQA and industry-specific RPL requirements.
Access Control: Control who can view, edit, and approve applications.
Regional Hosting: Store data in compliance with local laws and standards.

Student Management Systems like Clinsoft.
Learning Management Platforms for integrated training and assessment tracking.
Credentialing Tools like eTestamur for issuing verified recognition documents.