AI Healthcare is a content transformation project based on a workplace wellness report. It was designed to turn dense research into short, accessible learning media for employees. The project also explored how AI-assisted production could speed up development while keeping human editorial control.

Corporate employees and managers accessing workplace wellness resources through digital learning platforms.

Transform a long-form workplace wellness report into short learning media that supports awareness, reflection, and engagement. 

• Strategic content transformation project

• Source material: 2025 Workplace Wellness Report

• Three short-form video deliverables

• Each video is designed for a different stage of engagement

• AI-assisted production pipeline

• Traditional editing and human review throughout

• Final assets optimized for digital workplace distribution

The original workplace wellness report contained strong insights. It was also long and difficult to engage with in a busy work environment. Many employees were unlikely to read it in full. The challenge was to turn that information into something shorter, clearer, and easier to absorb.

The project also needed to test AI in a practical way. The goal was not to replace content expertise. It was to accelerate production while keeping human control over message, tone, and quality.

I approached this project as a learning design and content transformation problem. The goal was to keep the value of the original research while making it easier to access and apply.

The report included useful findings, but its format created a barrier. The project focused on turning those findings into short learning moments that employees would be more likely to watch and remember.

Instead of summarizing the full report at once, the content was divided into smaller narrative units. Each video focused on one clear idea. This helped reduce overload and made the learning easier to retain.

The videos used short scripts, clear visual emphasis, voiceover, and text support. This created a dual-channel experience. It also helped viewers focus on one concept at a time.

The content was based on research-backed material. Accuracy mattered. Key insights were taken directly from the source report. Scripts were reviewed to stay aligned with the original findings. Human editorial direction guided the AI-assisted workflow throughout the project.

The final project included three short-form learning videos. Each one was designed to support a different point of engagement.

• Short video-based learning assets

• Narrative scripts based on report findings

• AI-assisted visual generation

• Voiceover integration

• Human-led editorial refinement

• Final videos optimized for digital distribution

The workflow combined AI tools with traditional post-production. It used AI to speed up parts of development, while keeping creative decisions under human control

This project was designed to make workplace wellness research easier to access and easier to engage with. It turned a dense report into shorter learning assets that fit more naturally into a digital workplace setting.

The project also explored a practical production model. It showed how AI could support faster content development without replacing human review, design judgment, or message control. The final work offered a scalable approach for turning long-form corporate knowledge into short learning media.

This project reinforced the value of content transformation in learning design. Strong information does not always reach people in its original format. Sometimes the barrier is not the quality of the content, but the way it is delivered.

It also showed that AI works best as a support tool. It can help speed up production, but it still needs human structure, editorial judgment, and clear learning intent. A next step would be to test the videos with workplace audiences and measure engagement, recall, and perceived relevance.