Shaping the Future of Apprenticeship Support: Inside the Aptem Enhance Virtual Assistant Beta Trial

Across the apprenticeship sector, providers face a shared and persistent challenge: balancing high-quality learner support with increasing workloads for tutors and skills coaches. As apprenticeship standards become more complex and learner numbers grow, tutors are spending significant amounts of time answering routine, repetitive questions – often outside scheduled learner meetings. 

For learners, this can result in delays, fragmented understanding, and reduced momentum. For tutors, it creates administrative drag that limits the time available for higher‑value coaching and personalised support. 

Through extensive conversations with customers, Aptem identified a clear opportunity: learners needed faster, easier access to accurate information relating to their apprenticeship standards, while tutors needed a way to reduce repetitive queries without compromising quality or compliance. 

The result was the Aptem Enhance Virtual Assistant – an AI‑powered feature embedded directly within the Aptem Apprentice platform. To ensure the tool was accurate, usable, and genuinely valuable in real‑world settings, Aptem launched a structured beta trial in July 2024. 

This article explores the goals, findings and outcomes of that beta trial, and how customer feedback directly shaped the future of AI‑driven learner support within Aptem. 

The problem: repetition, delays and disengagement 

Before the beta trial, Aptem conducted research with tutors across its customer base. The findings were striking: 

• Over 80% of tutors reported spending between one hour and one full working day each week answering repetitive learner questions related to apprenticeship standards 

• Learners often waited for responses, impacting engagement and confidence 

• Tutors felt their expertise was being diluted by routine queries that could be handled more efficiently 

These challenges were not limited to any one provider or sector. They reflected a systemic issue in apprenticeship delivery – one that demanded a scalable, learner‑centred solution. 

When asked how valuable a virtual assistant for learners would be, 88% of tutors said they believed it would be valuable or very valuable. 

Introducing Aptem Enhance Virtual Assistant 

The Aptem Enhance Virtual Assistant was designed as part of Aptem Enhance, a suite of AI‑driven features focused on improving learner engagement, tutor efficiency and programme outcomes. 

Rather than acting as a generic chatbot, the virtual assistant is: 

• Embedded directly within Aptem Apprentice 

• Context‑aware and aligned to the learner’s specific apprenticeship standard 

• Designed to surface accurate, AI‑generated responses to frequently asked questions 

• Fully auditable, with oversight for providers 

Learners can use the assistant to: 

• Clarify Knowledge, Skills and Behaviours (KSBs) 

• Reinforce understanding of key concepts 

• Check how and when to log Off‑the‑Job training hours 

• Ask questions at the moment they arise – not days later 

For tutors and providers, the goal was clear: reduce administrative burden while empowering learners to take greater ownership of their learning.

The beta trial: Testing in real delivery environments 

Aptem launched the beta trial of the virtual assistant in July 2024, providing early access to a select group of customers: 

• BMS Progress 

• Hawk Training 

• Pareto 

The scale of the trial was significant: 

• 1,790 learners participated 

• 99 apprenticeship programmes were included 

Participants worked closely with the Aptem product team, providing structured feedback to help validate accuracy, usability and impact before general release. 

While each provider had its own objectives, five shared goals emerged: 

1. Save time and increase efficiency 
2. Reduce tutor and skills coach workload 
3. Increase learner engagement 
4. Improve compliance 
5. Support quality assurance processes 

Findings from the trial: Benefits for learners 

Empowering self‑service learning 
Learners consistently reported that the virtual assistant helped them check their understanding independently, without needing to contact their tutor for basic queries. 

At Hawk Training, most learners returned to use the assistant again within a week of first use – a strong indicator of perceived value and usability. 

Fast, accurate responses 
Pareto highlighted the importance of speed. Responses were typically delivered in under five seconds, helping learners maintain momentum and make informed decisions about how to progress their learning. 

This immediacy reduced frustration and supported more continuous engagement. 

Support beyond working hours 
For learners working shifts or studying outside traditional office hours, the assistant proved particularly valuable. It provided access to guidance when tutors were unavailable – removing delays that could otherwise stall progress. 

One learner described the experience as “having a personal skills coach available 24/7.” 

Building confidence with AI 
Providers also noted an unexpected benefit: learners gained confidence using AI in a professional, structured environment – an increasingly relevant workplace skill. 

Findings from the trial: Benefits for tutors and providers 

Efficiency gains and workload reduction 
BMS Progress used the trial to target a specific pain point: frequent five‑minute phone calls covering the same types of questions. 

The virtual assistant successfully absorbed many of these routine interactions, allowing coaches to focus on higher‑value tasks. Over time, this is expected to result in a measurable reduction in tutor workload. 

Improved quality of support 
At Pareto, reducing basic back‑and‑forth communication meant tutors could dedicate more time to complex learner needs. The result was a higher quality of personalised support – not less human interaction, but better use of it. 

Audit trails and academic integrity 
A critical differentiator was oversight. Providers could view transcripts of learner interactions with the assistant, creating an audit trail that: 

• Reduced the risk of plagiarism 

• Ensured appropriate use of AI 

• Offered transparency that external tools like Google or ChatGPT cannot provide 

This reassured providers that AI could be adopted responsibly within regulated apprenticeship environments. 

Increased engagement and platform adoption 

For Hawk Training, the assistant formed part of a broader strategy to drive engagement as learners migrated to Aptem Apprentice. Learners reported feeling more confident using the platform, increasing overall adoption and familiarity. 

What learners actually asked: Virtual assistant in practice 

During the trial, learners engaged in 3,197 conversations with the virtual assistant. Analysis of usage revealed four main categories of questions: 

• Key concepts: explanations of theories, legislation and professional practices 

• Clarification and guidance: help with portfolio or interview preparation 

• Off‑the‑Job training: how, when and what to log 

• Topic research: deeper exploration of subject‑specific questions 

Examples included: 

• “What is a goal statement?” 

• “Does this activity count towards Off‑the‑Job hours?” 

• “Can you explain attachment theory?” 

• “What is the Sale of Goods Act 1979?” 

This demonstrated that learners were using the assistant not just for quick answers, but as a meaningful learning support tool. 

Tutor and learner feedback 
Feedback from across the trial was overwhelmingly positive.