The old publishing model is slow, reactive, and difficult to measure. With L&D and communications teams stretched thin, business demands often force speed to take precedence over strategy. In turn, video completion rates define success rather than actual business outcomes.

With the introduction of AI, many companies are asking the question: 

Can AI videos reshape corporate training and enablement at scale, without subjecting viewers to ‘AI slop’?

In this episode of the Business Video Playbook, we sat down with Kevin Alster, Strategic Advisor for Synthesia, who helps L&D and communication teams close the gap between what’s possible with AI and real-world workflows.

Watch now to see how AI video is modernizing corporate training and communications, plus gain an effective framework for getting started.

How AI Video Is Transforming Corporate Training and Communications

AI videos for corporate L&D and communications teams promise cost and workload reduction. A straightforward example is the ability to translate existing text-based documents and training materials into dynamic, video-based content. 

However, Kevin Alster argues that AI’s role extends beyond resource efficiency. He believes AI is shaping a new future of business training and communications that prioritizes behavioral change and actual business impact. 

Of course, L&D and internal comms professionals want scalable, high-quality content with fewer production barriers. But does the vision of AI meet reality? 

Alster says it can, 

“An average day of shooting can cost $25K–$50K. I saw AI video cut down on the worst parts of production. You can get a first draft or prototype more quickly. If you need edits, you don’t go back to the linear, expensive process of reshooting and re-editing; you change the script like a document, hit publish, and the new version instantly replaces the old one.”

— Kevin Alster, Strategic Advisor at Synthesia

Companies embracing AI are also finding more ways to streamline production, such as:

• Course localization: Tailor content more easily to specific subjects, audiences, languages, or cultures, which is essential for global companies.
• Content Relevance: Content is easily updated to match new announcements and product releases, reducing the support burden and meeting user information needs.

Therefore, AI video for corporate training and communications can provide incremental business benefits that would otherwise require additional solutions. 

Interactive and Personalized: The Future of AI Video for Training & Communications

Beyond production efficiency, AI is transforming how people learn.

Alster argues that it’s time to move past this old-school view of absorbing information that relies on the traditional classroom model. AI fuels the shift from passive learning to interactive, personalized, and context-driven experiences designed to change behavior. 

“We have a very antiquated view of how information gets into the brain. With the traditional classroom model, there is an expert at the front and a student at a desk listening to the expert. LLMs are changing the way people interact with information. Information takes a different form depending on the input.” 

— Kevin Alster, Strategic Advisor at Synthesia

AI also enables learning in the flow of work (“just-in-time” learning), where content meets the person’s need at the moment they’re solving a problem.

Video has traditionally been a one-way medium. But Alster argues that generative AI is changing this by making video interactive through branching scenarios that give viewers choices and links to supporting resources for deeper learning, all without disrupting their flow.

This personalized learning experience comes to life through:

• Real-Time Feedback and Role-Play: AI avatars simulate scenarios and give instant, objective feedback for faster growth.
• Instant Content Curation: Employees receive precise answers and resources on the spot, eliminating the need to dig through an LMS.
• Gen AI Tutors: Integrate with enterprise talent management systems to assess learning needs and deliver customized training plans.
• Adaptive Learning Paths: AI adjusts onboarding and upskilling in real time based on performance and experience.

Alster posits that as AI video continues to advance, corporate learning becomes less about delivering information and more about enabling behavioral change at scale.

3 Best Practices: Using AI Videos for Corporate L&D and Comms

With a less intensive production process, AI videos offer more than just speed and scalability. Ensure your AI videos are effective training tools with these best practices.

1. Evaluate Behavioral Change, Not Completion Rates

Technological skills are rapidly evolving: “39% of workers’ skill sets will be disrupted within five years,” according to the World Economic Forum. To fill these gaps, companies need a fundamental shift in how knowledge is consumed and applied. 

Instead of emphasizing completion rates, Alster suggests evaluating behavioral change:

“Learning isn’t the point. The point is changing someone’s behavior. You might learn something as a result of that. Learning is the product of trying to figure out how to tackle a particular challenge. But in the end, we are looking for a change in behavior.”

— Kevin Alster, Strategic Advisor at Synthesia

Watch Alster share more in this short video.

2. Avoid “AI Slop” with Quality Over Quantity

Alster emphasises purpose over output for L&D teams. Despite the ease of production in the age of AI, quality remains foundational over quantity.

“An overabundance of low-quality content makes it nearly impossible for users to find what’s actually helpful, creating unnecessary friction and eroding trust. The winning strategy is to focus on quality, thoughtful storytelling, and purpose to stand out from the inevitable wave of low-effort, low-value AI-generations.”

— Kevin Alster, Strategic Advisor at Synthesia

Watch Alster share more in this short video.

3. Connect Sales Growth to Customer Education

Historically, the impact of customer education is challenging to quantify. By integrating AI into a Customer Relationship Management (CRM) system, companies can measure the correlation between customer education initiatives and business outcomes. 

“Customer education becomes a growth driver when you can connect the cost of content to the customer lifecycle.”

— Kevin Alster, Strategic Advisor at Synthesia

One way to make this connection is by linking customer actions (such as a lead watching a how-to video) to the actual customer journey and business outcomes (the company receives fewer support requests while sales continue to expand). 

Watch Alster share more in this short video.

How to Start Using AI Video in L&D: The Three E’s Framework

To help L&D teams get started without being overwhelmed, Alster offers a three-part framework for adopting AI video:

1. Engagement: Create an AI teaser video for your course. Focus on the pitch and what the person will gain from it. Focus on bite-sized videos that deliver information.
2. Experiences: Bring stories to life with AI. Consider how you can use video to model situations, such as two avatars role-playing a difficult employee-manager conversation. 
3. Enablement: Show how something is done step-by-step. A short video might replace screenshots in a knowledge base article, allowing the viewer to follow along. 

Watch Alster share more in this short video.

In short, start with simplicity and gradually build complexity into your AI video workflow. As you determine the workflow that fits your business needs, AI offers an opportunity for L&D to be more strategic.

Are AI Videos The Future of Workplace Learning?

Alster’s vision of AI videos for L&D training enables professionals to step away from the manual production grind and focus on what matters: powerful stories, organizational change, and measuring the impact of training on real business objectives. 

Is your business turning to AI videos for corporate training? If so, what tools and workflows have proven most effective? If not, why and what hesitations remain? 

We’re continuously exploring the evolving world of artificial intelligence; check out related content for more information and watch the full episode with Kevin Alster of Synthesia. 

• AI Content Repurposing: 5 Steps from Blog to Video in Under 2 Hours
• 10 Best AI Tools for Video Editing & Production
• The Complete Guide to Building a Corporate Communications Strategy

The post How AI Video is Transforming L&D, Corporate Comms, and Enablement appeared first on SproutVideo.

It’s a compelling promise: thought leadership already drives value, and adding video can provide even greater engagement and organic traffic.

Furthermore, traditional video production is notoriously resource-heavy, so the risk-benefit of using AI comes down to one key question:

Can AI streamline video production and deliver content worth sharing—or churn out AI slop that could undermine your brand?

Step into the lab with us!

Here’s what worked, what flopped, and the final result (with cost). Plus, create your own video in under two hours with our AI content repurposing workflow. 

Testing “One-Click” AI Video Tools

We researched and chose a handful of the most popular AI content repurposing tools for creating thought leadership videos.

Then, we tested each AI video tool with the same prompt: “Make a 90-second video summary of the following blog post,” and shared the URL. 

Invideo Example; Cost: $30

Each tool provides a different level of customization, such as aspect ratio, tone of the script (casual vs professional), audience type, AI voiceover, and b-roll theme. 

Here’s what we discovered:

• Pictory: Quickly assembled videos using stock footage, but the results felt generic and lacked engagement. Branding options were a plus.
• Synthesia: Created presentation-style videos and offered AI avatars, which worked better for thought leadership content. Synthesia is known for its avatars, so there are significant options for including a talking head. Branding options were also a plus.
• Veed and Adori: Leaned on generative AI for visuals instead of stock. Unfortunately, outputs often included glaring AI artifacts like nonsensical text and awkward motion.
• Invideo: Known more for commercials and AI-generated UGC. (You can also “hire” a virtual actor, but that’s beyond the scope of our simple AI workflow.) Stock footage looked out of place, while generative visuals were costly and unusable.
• NotebookLM: Surprisingly strong slide deck results; the best job creating informative visuals. However, the lack of customization means every output looks the same, and the video runs too long.

Keep in mind: these tools serve different audiences. Synthesia is tailored to internal communications, training, and sales enablement, while InVideo focuses on marketing teams and creators looking to produce promotional or social content. 

For our use case, none of these tools delivered something we’d feel confident publishing externally.

That being said, many of these tools include additional pricing tiers and features. Our use case required direct control over the final product, whereas most are built for automation. Results may vary, and we’ll continue to share our findings as we explore these emerging AI tools.

How to Turn Blog Posts into Videos with AI in 5 Easy Steps

With one-click solutions in the rearview mirror, we pivoted to a workflow that uses AI tools at each step of video production while still leaving room for human oversight.

The result? A polished video made in just under two hours. Here’s how we did it. 

1. Use ChatGPT for the Script (<35 minutes)

We fed the blog URL into ChatGPT and asked it to create a 90-second video summary script. After a quick edit pass, we had a workable draft. The key here is speed: instead of staring at a blank page, we had a foundation in minutes.

Learn More: 3 Best AI Script Writers for Making High-Quality Videos

2. Build Slides in Gamma (20 minutes)

Next, we used Gamma, an AI tool designed for presentation decks. After setting up our brand guidelines, we pasted the script card by card to control what appeared on each slide. This workflow kept the visuals aligned with the narration. 

Then our graphic designer did a quick pass on that output to make it really sing. This additional pass is optional; however, it elevated the overall video.

3. Generate a Voiceover with ElevenLabs (10 minutes)

One of ElevenLabs’ most impressive features is the ability to clone a person’s voice. We used 60 minutes of existing recording to do just this. The result was a natural-sounding voiceover (very similar to the source) without stepping into a recording booth.

Creating your voice clone will require additional time, but thereafter, generating your sound-alike voiceover takes less than ten minutes. 

4. Add Music with Suno (5 minutes)

Background music is essential for video engagement. In just a few minutes, we generated a custom track in Suno. Stock libraries offer similarly efficient options.

5. Assemble in DaVinci Resolve (20 minutes)

Finally, we edited these elements together using DaVinci Resolve.

The edit was straightforward, since AI did most of the heavy lifting. Therefore, basic editing skills are sufficient.

What We Made

Here’s the result: a short​​ video summarizing the blog, matching our branding, and delivering a professional polish.

Overall, this video took about two hours to create, with quick editing from our in-house copywriter and graphic designer. Without this additional work, it would take an hour.

What It Costs to Make

• ChatGPT: Free 
• Gamma: $8 per month for each team member
• ElevenLabs: $11 per month 
• Suno: $6 per month
• DaVinci Resolve: Free 

Cost of AI Video Generation: $25 (per month)

With that $25 a month investment, we can repurpose an endless amount of content into brand-worthy videos by strategically using AI tools at every step of production. 

What do you think? Do AI tools live up to the hype? Would you share a video using this five-step process in your business?

Key Takeaways: Repurposing Blog Content into Video with AI

Returning to our original questions: can AI create brand-worthy content? Is an AI workflow more efficient when producing short-form videos from blog content?

The short answer is yes! 

• One-click AI tools (for our use case) aren’t there yet. Simple AI wrappers are fast, but they didn’t repurpose content into videos we feel confident publishing.
• AI accelerates the right parts of the workflow. Tools like ChatGPT, Gamma, ElevenLabs, and Suno cut down on writing, design, and audio production time, while still leaving room for human control.
• The process is flexible. Want to swap in different tools? Go for it. The workflow is modular; you can easily adjust it based on your team’s preferences.
• The results feel professional. With light human editing, the output looks like content a team created, not a robot.  

A video production that would have taken days or up to a week of collaboration and coordination was produced in under two hours while maintaining brand standards. 

This AI-optimized workflow is just the beginning. With new tools and features rolling out constantly, we expect this workflow to evolve quickly.

For now, it’s an efficient, scalable way to add video to your content strategy while boosting the reach of your thought leadership.

The post AI Content Repurposing: 5 Steps from Blog to Video in Under 2 Hours appeared first on SproutVideo.