AI-augmented admissions processing

Challenge: Improve speed and accuracy of validating student applications

Like many institutions across Australia, our client was facing a high volume of multi-lingual applications. Evaluating scanned transcripts and identifying missing criteria was creating major manual bottlenecks. The admissions team was stuck in a loop of document extraction rather than engaging with qualified students.

Solution: A low-cost AI solution that supports human judgement

Working closely with the admissions team, we engineered an AI solution that would reduce administrative burden without replacing human judgement. This intelligent, serverless workflow engine was designed to automate complex, multi-step validation processes. The solution orchestrates a diverse mix of advanced generative AI models to dynamically route tasks through specialised validation paths, specifically targeting academic credentials, language proficiency, and identity matching. To ensure enterprise-grade reliability, we built an automated testing framework that continuously calibrates model outputs against a rigorous, verified golden dataset.

Value delivered: Proven accuracy and return on investment

Within five days, we had developed a proof of concept that demonstrated:

• 95–100% accuracy for validating English competency admission criteria.

• 90–100% accuracy – within minutes – for assessing complex applications against academic requirements.  

• Predictable expenditure and clear return on investment through active management of AI operating costs.

• Application processing time reduced from weeks to days.  

This early testing quickly demonstrated that AI could address the client’s core challenge at relatively low cost, building institutional confidence to expand the initiative.