The Future of Learning: Enhanced Course Creation with Gen AI

Engaging, Gamified, and Employee-Driven Learning

1. The Challenge & Our Vision

Moving from a bottlenecked, traditional model to a scalable, employee-driven future.

Project Background

We were tasked by EHS to revamp their Manual Handling Training.

The Challenge

A Strategic Shift in Learning

The Challenge:

Mandatory, full-day workshops. The critical bottleneck was a shortage of certified trainers. This meant we couldn't deliver a standardised experience for all colleagues, and the time and resources required for each workshop were immense.

  • 58 slide powerpoint
  • Certified Instructor Led

Proposed Solution:

A distributed, employee-driven model where Head Office EHS creates digital, self-paced materials. Colleagues complete the on-demand training and then book their practical testing sessions.

Our Vision for Learning

A new model for learning.

To build a dynamic, engaging, and gamified digital academy that empowers our colleagues and solves our scalability problem.

The Golden Ticket: Eliminate the Engagement Crisis

Compliance training has always been plagued by disengaged learners and low knowledge retention as bad learning design leads to the "click as fast-as-possible" method for completing training. We will change this learning behaviour.

2. Unlocking Capability: Next-Level Gen AI Visuals

Moving beyond stock images to creating custom universes.

AI character generation gif

We used AI to create not just images, but an entire visual world. We could generate:

  • An entire cast of custom characters.
  • Place them in any pose, wearing any uniform.
  • Situate them in any environment, with any props we needed.

The Evolution of Our Tools

Beyond Stock Images to Custom Universes 🎨

Gen AI has completely changed what's possible, moving us beyond traditional stock sites. This newfound creative control, which would have previously cost tens of thousands and taken months, is now achievable in days. Even our go-to tools like Adobe Stock now integrate powerful Gen AI, radically expanding our creative toolset.

This level of creative control was previously unimaginable. A project like this would have cost tens of thousands of euros and taken months in development. With Gen AI, we were able to achieve the impossible.

3. Overcoming Skepticism: The AI Voice Revolution

How we won over the skeptics with game-changing technology.

A real piece of feedback

“Mate, unless you can get me an Irish woman who can speak with authority, I'm not interested in your robot voice. We'll just ask our Project Manager to record it.”

- Senior Stakeholder

The Game Changer: ElevenLabs

The platform that made this possible was ElevenLabs.

I can say with full confidence this is the new industry standard for AI voice-over. It will become as prominent in L&D as Articulate Storyline.

  • Effortless Quality: The quality is exceptional, the platform is easy to use, and the cost model is effortless.
  • Vendor Integration: Our vendor partners use the same platform. This means going forward, we can repeatedly and effortlessly recreate the same level of quality for as long as we want, ensuring perfect consistency.

Meet the Actors

The proposal to use an AI voice was met with a degree of skepticism. Instead of one voice, we presented a whole cast of AI actors—young and old, from all over Ireland.

ElevenLabs Interface

Penney the voice of EHS

Meet Penney, the AI-powered voice of our EHS training.

Loading audio player...

4. AI Assisted Pre-Production Set Up: A Race Against Time

Running an airtight ship when every second counts.

On-Site: Running an Airtight Ship 🚢

A Lean Team

We ran a really lean crew for the shoot days. Our entire crew consisted of:

  • 2-camera crew:Kai
  • Sound Guy:Kai
  • Producer:Kai
  • Shoot Manager:Kai
  • Stunts:Johny

Pre-Production: AI-Powered Planning 📝

Extreme Time Pressure

We arrived on-site and were told, "You have one hour before the store opens to get every shot you need."

Agile Reshoots

After the first day, we decided to reshoot 40% of the scenes with new dialogue and background elements.

We used an AI Assistant to manage the complex web of scripts, shot lists, and schedules. This created a single, synchronized blueprint for post-production, where its own challenges awaited.

Synchronized Production Elements

  • Production Schedule
  • Detailed Script
  • Shoot Plan and Camera Set up
  • Timing and Actor Instructions

5. Post-Production: The Mount Edit Challenge

How we conquered the post-production mountain with AI.

The Post-Production Mountain 🏔️

A typical shoot day left us with a mountain of raw data.

4+ batteries burned through per day.

Over 500GB of footage across multiple cards.

Over 4 hours of raw footage from two cameras (8+ hours total).

We had a goal to produce 15 distinct, high-quality videos.

Manually processing this would have taken at least 40 hours of editing time. Industry standard dictates a base cut needs at least 4 passes review of raw footage. This was our breakthrough.

Picture of the video editing timeline

The AI-powered editing timeline, where text and video are perfectly synced. What you see here is the breakthrough in action, turning hours of footage into a simple text document and saving days of manual work.

Text-Based Video Editing (AI-Assisted)

By leveraging AI to transcribe our footage, we turned hours of video into a simple text document.

Our editor worked directly with the text, which meant:

  • Assembling a story was as simple as finding key phrases and copying and pasting paragraphs.
  • Deleting a sentence in the transcript automatically cut the corresponding video clip.
  • This saved us hours of manual work and allowed for rapid iteration.

80% decrease in production time

6.1 Intro

6.2 Manual Handling

A final look at the output.

6.3 Highlight Reel

A showcase of the final video content.

7. The Results Are In: A Paradigm Shift in Production

Impact by the numbers.

0%

Reduction in cost for asset creation

0%

Reduction in time for asset creation

0%

Reduction in time for post production

0+

Levels on production value and quality

Completed the production phase of the project 1 month ahead of schedule.

Completed on a relatively small budget for a production of this size and quality.

Gen AI Case Study

conducted by Kai-Jen Tsai

Thank you for your time and attention!

Questions or further discussion?

Email me