Making PCI Training Personal (ELH Challenge #477)

Hurdle to Overcome

How could I open the Payment Card Industry Data Security Standard (PCI DSS) awareness module in a way that immediately created tension, felt personal, and captured the learner’s attention from the very first moment?

Solution

Rather than opening this year’s PCI awareness module with traditional learning objectives, I chose to begin with a narrated scenario designed to set the stage. My goal was for learners to hear and see the weight of a potential cybersecurity lapse right away.

Steps I Took

To create this opening slide, I followed these steps:

1. I wrote a short, highly detailed script that included backstory, multiple characters, and narrative depth (well, not so short!). 🤣
2. After reviewing it, my manager supported the scenario-based approach but felt the initial script missed the mark and revised it.
3. I used Copilot to further refine the updated script.
4. With the revised scenario in hand, I first prompted Canva AI to generate the character imagery. While promising, the results never quite matched the desired look.
5. I then passed my image prompt through Copilot multiple times, refining it across at least four iterations.
6. Once I landed on a clean, effective prompt, I fed it into Storyline360’s AI Assistant to generate the images and poses for the main character, Ava.
7. The scenario narration was created using Storyline360’s AI voice: Brian (Man | Middle-aged | English | American accent | Social Media | Classy; Model 3, default settings).
8. To introduce tension and a sense of movement, I drew inspiration from comic panels. Instead of static visuals, I cropped the images to panel-like frames and animated them in sequence, using cue points to drive the timing and flow.

Lessons Learned

Generative AI (GAI) prompting has become part of our daily workflow. Across my organization, we have access to tools like Adobe Express, Canva, and Articulate360, each with its own strengths and limitations.

Key takeaways from this project include:

Output from one GAI tool can be refined and reused in another to achieve stronger results. For example, after Canva AI didn’t produce the desired imagery, I used Copilot to refine the prompt and then fed that improved prompt into Storyline360’s AI Assistant.

This experience reinforced an important truth: creativity matters even more in an AI‑powered world. The overall look and feel of this slide came from human decision‑making—mine—not from the tools alone.

Conclusion

The close collaboration between humans and generative AI produces results that are more effective and impactful than what either could create independently. Even with powerful learning‑focused AI tools, such as those in Articulate, achieving the desired outcome can still take time, and that’s okay.

The more we experiment, prompt, and practice with these tools, the more efficient we become. Ideally, those efficiency gains translate into greater business impact through improved learning experiences and stronger employee performance.

Click here to experience the demo. The SL file is attached.