Learners work through realistic workplace scenarios with AI agents. Responses are scored against your rubrics with criterion-level feedback, and assessors review, moderate and can override every result. Built for VET, pharmaceutical quality and enterprise training.
Create scenario-based assessments mapped to your units of competency or training standards, with approval workflows and versioning.
Learners converse with AI agents playing customers, colleagues or staff in realistic scenarios, gathering what they need to complete the task.
Rubric-based scoring with explainable feedback: every mark comes with its reasoning, traceable to a criterion.
Assessors review, moderate and override results, with reporting for validation, moderation and compliance reviews.
Learners practise the conversations their job requires: a quality investigation, a difficult customer, a compliance interview. Agents play the people in the scenario, respond to what the learner asks, and keep the exchange within the bounds you authored.
Every score is mapped to your rubric and explained criterion by criterion, with the reasoning and a sample answer beside the learner's response. Assessors start from a scored draft rather than a blank rubric, and remain responsible for the result.
Scenarios are authored in plain language: the background, the people involved and what the learner must find out. Approval workflows mean no single person can publish an assessment alone, and each version is recorded.
KompetencyAI runs on XponixAI's sitewide security posture: dedicated infrastructure on Azure OpenAI or AWS Bedrock, AES-256 encryption, SAML SSO, and a written guarantee that learner data is never used to train AI models. Australian data residency available.
We walk through a scenario, the rubric scoring and the assessor review tools, and answer your questions.
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