Keen to increase short-form video production to get more eyeballs on your brand? Discover how other brands plug AI into their workflows to ship high-quality video content faster, cheaper and at scale. Plus, explore a few real-world examples that prove you don’t have to sacrifice quality or consistency to ramp up your video output with AI.
Short-form video now leads the way in brand engagement. As consumers’ attention spans shrink, videos under 90 seconds are especially effective, often retaining up to half of viewers. Add in that more than 70% of consumers prefer to learn about products from videos, and it’s clear that bite-sized video content is here to stay.
It’s no surprise, then, that enterprise teams are inundated with requests for everything from TikTok tutorials to Instagram Reels. This growing pressure has prompted teams to explore new ways of working.
The solution? AI (powered by humans). Instead of crafting one great short-form video at a time, teams can now tap into AI short-form video systems to generate more assets faster.
As AI systems become more entrenched, more teams will no doubt supercharge their video workflows with the technology. In fact, Superside’s ”No-Hype AI Report” shows that brands such as Johnson Controls and Mojave Color have already used AI-driven workflows to reduce creative production time by 40–60%.
But without expert AI video support, brand integrity, authenticity and quality can suffer in the pursuit of speed and scale.
If you could benefit from a roadmap for AI adoption in your video workflows, consider this your front-row seat. Here, we unpack exactly how to scale your short-form video output with AI and share a few top examples from brands that have already nailed this process.
7 key applications of AI for scaling short-form video
Before we delve into the video scale-up process and real-world examples, let’s first take a closer look at what today’s technology enables.
With the right AI tools, you can now turn one video asset into dozens of platform-optimized variants or create an entire video in days instead of weeks. This is a big deal in a market where 89% of people say they want to see more video content from brands.
How does AI do what it does? It offers a broad range of capabilities that traditional video production methods simply can’t match. The applications below outline the foundation of any successful AI-powered video operation.
1. Repurposing long-form content
One of the best uses of AI is to automatically identify and extract the most engaging, emotionally resonant shorts from your existing content library.
Tools like OpusClip, Munch and Pictory use machine learning to analyze visual cues and speech patterns to find and extract key moments. Many also use AI to automatically reframe and resize clips for various social media platforms. The same tools can also optimize the formatting for each channel’s requirements and automate captioning.
This means a 60-minute webinar can be turned into 10–20 high-impact clips tailored to different platforms and audiences. A product demo can become a steady stream of feature spotlights. And that standout CEO interview can be transformed into a ready-to-publish series of social snippets designed to boost engagement.
If your team is overwhelmed by the demand for short-form video, AI provides an always-on engine that can process video up to 90% faster than traditional methods.
2. Automated video generation
No existing footage? No problem. Some of today’s AI tools can create full clips from text, images or simple prompts.
Platforms like Pictory and InVideo use stock or custom images and text-based content to create engaging clips or animations. This means every blog post, press release or customer testimonial is an excellent source of potential video content.
Meanwhile, tools like Krea AI and Runway make it easy to scale short-form video production across platforms or markets. You can use the same basic prompt or text content, and generate entirely new versions (and A/B testing options) at the click of a button.
Then there are AI avatars. Platforms like HeyGen and Colossyan make it easier than ever to create the perfect company spokesperson, realistic “talking-head” videos and highly personalized sales messages.
These capabilities translate into less studio time, fewer pre- and post-production steps and faster turnarounds on campaign deadlines. Of course, all of this matters in a world where short-form video is expected to soon account for 90% of internet traffic.
3. Streamlined editing and post-production
Creative teams can no longer afford to lose momentum to manual editing. It’s a good thing, then, that AI can accelerate workflows, reduce repetitive tasks and improve overall operational efficiency.
With features like auto-captioning (critical for the growing number of viewers who watch silently), today’s AI tools can help your content perform better with less effort. You can also easily translate content into multiple languages to make each video a multilingual asset.
Tools like Topaz Video AI and Canva’s Video Upscaler offer editing features, such as background noise reduction and automatic color grading. This means you can rapidly scale new assets, refresh older content, elevate user-generated clips to professional quality and much more.
Note, however, that without proper guardrails or AI consulting support, this level of scale can introduce brand inconsistencies and other challenges.
4. Performance optimization through data
One of AI’s most significant benefits is its ability to help creative teams optimize video performance.
Solutions such as AI-powered predictive analytics help marketing and creative teams drill down into creative performance across platforms. As a result, they can quickly pinpoint what captures audience attention and fine-tune their videos to maximize conversions.
AI can also identify best practices for factors such as video length, opening hooks, pacing and trending music and sound effects that increase engagement.
The tech also makes personalization at scale entirely doable. Creative teams can now rapidly generate multiple video variations tailored to different audience segments or buyer journey stages. Each video can be perfectly optimized for a specific segment (gold at a time when 81% of consumers prefer personalized experiences).
In short, AI can help you identify your target audiences and shape your video content to what they want to see at which stage of their journey. The bonus is that your asset library becomes a learning system: Each new video asset gets smarter based on what performed well in the past.
5. Campaign variant generation across formats
AI also makes it easy to repurpose assets for use across platforms. Need to switch aspect ratios for Reels, Shorts or TikTok? Done. Want a 6-second teaser and a 90-second explainer from the same footage? AI can produce both in seconds.
Your creative team only needs to develop the core concept once, after which AI can be used to automatically generate as many platform- or campaign-specific versions as you need. The technology can also easily handle changes in content formats.
When implemented correctly, AI can give your team more time and space to experiment creatively, which opens the door to even stronger campaigns and better results.
6. Localized and regional versions
Video localization has long been a significant hurdle for global brands. Creating culturally relevant versions for every region typically requires separate production shoots and multiple local agencies (a significant financial and logistical burden).
AI has completely changed the game. Creative teams can now produce linguistically accurate, culturally relevant videos for dozens of markets simultaneously, without even leaving the office building.
The result? Low-cost, effective adaptation of video content for any regional market, which helps global brands to drive brand engagement everywhere at once.
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The smart approach to using AI for short-form video content
While your creative team can massively benefit from AI, indiscriminate use can come back to bite you. For example, overuse of AI can dilute your brand’s unique voice and introduce factual errors or copyright risks.
To scale your AI short-form video output successfully, your team needs a workflow that balances speed, quality, brand consistency and operational scale. Enterprise video platforms like Vimeo Enterprise or Brightcove can help you manage and distribute video content at scale and automate processes such as transcription, metadata generation and analytics.
However, creative quality and brand control are usually achieved through a combination of custom AI tools and well-structured internal workflows that incorporate human checks.
For consistent results, quality and effortless scaling, an AI-powered creative agency like Superside is hard to beat. Our video production services combine world-class creative talent with cutting-edge AI workflows to help enterprises scale their short-form video production with ease (more about this later).
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The process of scaling short-form video with AI
Ready to dive in and learn how to scale short-form video for your brand? The process may feel overwhelming at first, but once you follow the step-by-step workflow below, it all becomes surprisingly doable.
Step 1: Select a content source and identify bottlenecks
The easiest place to start is to experiment with the content you already have.
Long-form videos such as webinars, podcasts and product demos often contain multiple moments that can be used as short clips for social media or other marketing materials. You can also draw on text-based sources such as blog posts, scripts or product briefs to generate concepts for new short-form videos.
If you don’t have a specific asset in mind, begin with a theme or message you want to focus on. Then browse through your content library to see what supports it. The beauty of AI-powered video creation is its flexibility: A 60-minute podcast, a thought leadership article or even a simple product description can all be transformed into short, engaging clips.
This is also a good moment to assess your team’s creative workflows. When you understand where bottlenecks typically occur, it becomes easier to streamline processes and scale your output.
Step 2: Choose your tool and upload your material
Next, it’s time to figure out which AI tool to use. Tools like OpusClip, Munch or Pictory are designed to handle a range of content types, so you can use them whether you’re repurposing existing footage or generating new videos from text.
If your brand requirements are more complex, platforms like Krea AI and Runway offer more sophisticated workflows. They also allow you to export assets in various file formats so you can work on them in your broader design system, using tools like Adobe. This flexibility helps you to maintain tighter brand and creative control than with off-the-shelf AI tools.
Once you’ve identified the AI tool you’d like to use, the next step is to upload your brand fonts, colors, logos, templates, caption styles and any reference brand imagery into the AI tool before generating clips. This is critical because it ensures the AI automatically applies your branding correctly during clip creation.
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Step 3: Generate your first video clips
It’s finally time to upload your video, image or text source material.
Once you click “generate,” the AI tool generates video content based on the input you provide.
When video is used as the source, AI can identify key moments by analyzing elements such as topic changes, speech patterns and visual cues. In some cases, if the source footage has already been published and the platform is connected, AI tools can also factor in viewer engagement data, such as where audiences pause, rewind or skip.
When images or text-based prompts are used, AI can generate video clips from the supplied visuals or written content. With images, AI may add motion, organize sequences into cuts and generate voiceover. With text-only input, AI typically breaks the content into scenes and applies visuals, motion, transitions and narration to produce a complete video. Once platform-optimized clips are compiled, the AI tool can add dynamic captions or branding elements.
So, with just a few prompts, you can quickly rack up dozens of short videos from a single source. Each one will be formatted for its intended platform and produced in a fraction of the time a manual process would take.
Note, however, that if you plan to rapidly scale production, you’ll need the right AI tools to support your content pipeline. You’ll either need to find a specific tool that already slots into your creative stack or design a custom AI creative pipeline.
Our advice? AI is easy to use, but successful integration can be tricky. Consider partnering with an established AI design agency to scale without disruptions.
Step 4: Edit and refine your video assets
Once you have your initial video assets in hand, the next step is to review them critically. This is where human judgment matters most. Check for any areas that need refinement to meet brand and quality standards (e.g., scripts, dialogue, captions, visuals and other creative elements).
Some outputs may be publish-ready; others will need more work. That’s expected. The goal isn’t full automation, but a meaningful reduction in repetitive work so your creative team can focus on higher-value creative decisions.
For your first few AI tests, start with a small batch. Establish clear quality-control guidelines and review each piece against your criteria. As you spot errors or gaps in the AI’s output, adjust your prompts and workflow before you scale up the production process.
Step 5: Distribute and test your short-form videos
The next step is to put your AI-generated assets into circulation to see if they get the results you seek.
A good idea is to publish a high volume of short clips across your preferred channels (e.g., YouTube, TikTok, Instagram and/or LinkedIn). Then, use the performance data to identify which creative elements resonate most. This is one of the biggest benefits of the AI workflow: You can rapidly build a dataset on what actually drives results.
Pay attention to variables such as ideal video length, attention-grabbing hooks and high-converting CTAs. Use these insights to refine your broader short-form video strategy:
- Which designs deserve further iteration?
- What workflow produced your top performers?
- Do certain pacing styles or visual formats consistently win?
- How does performance vary across platforms and audiences?
Once you have these answers, you can automate additional steps and establish the criteria that assets must meet before they enter an auto-publish stream.
But remember: Human quality control and review remain essential. Make sure your team has a thorough review process in place, and consider establishing guidelines for responsible AI development and use.
Step 6: Scale up your video output
Once your AI video engine is fine-tuned, you can scale across formats, regions, languages and campaigns. Monitor asset performance closely and make sure you have processes in place to catch problems early, spot trends and identify negative sentiment before things get out of hand.
If all of this still feels overwhelming, a creative partner like Superside, which specializes in scaling short-form video production with AI, could be the answer.
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Top 7 examples of scaling short-form video with AI for enterprises
Now that you know the basics, it’s time for the masterclass. Below is our best-of-the-best collection of examples that practically show how brands scale their short-form video output.
Several of these entries come from our ”No-Hype AI Report,” which showcases the real story behind GenAI’s impact on creative. The report also highlights that Superside has achieved a 40–60% reduction in video production time through the use of AI. It’s a worthwhile read.
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1. Johnson Controls x Superside
(Source: Johnson Controls, Instagram)
When Johnson Controls came to Superside, they wanted to create a video highlighting their B2B HVAC product, using a stock image of a man at his computer as the starting point. A photorealistic video approach would have aligned with industry standards, but Superside recognized an opportunity to take a more creative strategic direction.
In close consultation with the Johnson Controls team, we developed a fully animated short-form video that blended a relatable character (“Bob”), expressive motion and sharp voiceover work. The key to getting the job done quickly? AI-powered workflows.
The numbers tell the rest of the story. The now-viral “Don’t Surprise Bob” ad was delivered 85% faster than traditional methods, saving Johnson Controls $47,000 in production costs.
More importantly, there was zero compromise on quality. Our team used AI-assisted puppetry-style motion and set design to create a professional-quality video that resonated with audiences and simplified a complex B2B product with personality and humor.
The campaign’s success also set in motion broader momentum. Johnson Controls returned to Superside for two additional videos (“Breaking News” and “Clark’s Cake”). And, from that first piece of short-form content, Superside has now created a scalable animation series for the brand, with a consistent visual identity and motion language.
This is what short-form video success with an AI-savvy partner is all about. Johnson Controls came to us for one video, but left with a fast, cost-effective creative system that maintains brand consistency, quality and impact.
Why we like it: This campaign demonstrates that AI-powered animation can deliver speed and personality, along with a foundation for a repeatable, iterative creative system.
Channels used: Social media marketing, digital advertising and corporate communications.
Best for: B2B brands that want to simplify complex messages with animation and stand out in an industry that doesn’t typically use this format.
2. Mojave Color x Superside
Mojave Color is a leader in the e-commerce photography space. That means they need to deliver truly superb short-form video content to inspire confidence among potential customers.
When they approached Superside, they wanted to create a teaser video that would showcase the company’s capabilities, resonate with prospects and help close deals. The catch? A tight budget and an even tighter timeline.
Mojave Color was immediately on board with using AI in the creative process, an open-mindedness that enabled Superside’s team to fast-track the production process. We quickly produced a standout teaser with sharp close-ups, dynamic color shifts and clean, on-brand messaging.
The results say it all. Superside delivered the complete video in one month (84% faster than traditional production methods would have allowed). Our AI-enhanced workflow also saved Mojave Color $8,560 in production costs.
Put simply, they got great creative, delivered on time and under budget, with zero loss of visual impact.
Why we like it: The Mojave Color project demonstrates that AI-enhanced processes can help teams deliver everything traditional video production can in a fraction of the time.
Channels used: Social media marketing, digital marketing.
Best for: Creative services companies that need to showcase expertise, without compromising on quality or results.
3. Share.One x Kapwing
(Source: YouTube)
Thanks to its simple interface, Kapwing is a popular choice for companies keen to scale up video production. In fact, this was the exact challenge video testimonial company, Share.One, faced when they partnered with them.
Share.One’s goal is to make video testimonials accessible and affordable for every business owner. The company quickly realized it needed to scale up production to meet rising demand, but its multi-tool, manual-heavy processes just didn’t get the job done.
With Kapwing’s AI features, the team accelerated their video production and delivered high-quality customer testimonials with minimal effort. Now, their videos are short, punchy, stylish, and above all, produced at speed.
According to CEO Dan Lievens, AI reduced their turnarounds from 4–5 days to under a day. They now produce hundreds of videos weekly and have over 200 businesses on their customer list, with plans to expand to over 1,000.
Why we like it: The Share.One x Kapwing colab is an excellent example of how AI can turn a mundane task (in this case, editing testimonial videos) into a super-fast workflow that drives business growth.
Channels used: Customers use their testimonials in marketing materials, on webpages, and on their social channels.
Best for: Companies that need to turn out high volumes of testimonial video clips at lightning speed, either for their own brand or as part of a creative service.
4. Paramount (et al.) x Colossyan
(Source: YouTube)
Colossyan is well known for its AI avatar videos. In fact, this company’s ability to make the virtual feel real has attracted attention from major enterprises (e.g., Paramount, Stellantis Financial and DSV).
When Paramount first came to Colossyan, its team was burdened by lengthy in-person cybersecurity training sessions. They needed a scalable, evergreen solution that could be easily localized for multiple languages. Colossyan’s life-like avatars proved to be precisely the right solution.
In record time, Colossyan rolled out AI assets that freed up an average of 10 hours of meeting time per month. Its instant translation feature also meant each video could be translated into multiple languages without lengthy delays.
The platform delivered similarly strong results for Stellantis: They helped them to cut video production costs by 70% and production time by 75%.
Why we like it: Colossyan’s customer success stories demonstrate the speed and cost-efficiencies that AI avatars can deliver in the video production process. They also clearly show why avatars belong in every enterprise’s toolkit for creating standout AI ads.
Channels used: Colossyan’s customers distribute their AI avatar content internally and across social media and digital advertising platforms.
Best for: Training videos, explainers, and content that calls for a friendly, relatable presenter.
5. Trivago x HeyGen
(Source: YouTube)
How do you localize ads for 30 markets, in multiple languages, on an extremely tight timeline? That was the challenge travel platform Trivago faced when it first reached out to the HeyGen team. The brand also wanted all of its videos to use the same actor (a massive challenge for conventional production).
HeyGen’s AI-driven video editing and generation tech was the perfect solution. The company used tools such as AI voiceover to meet Trivago’s requirements, keep the same actor and adapt videos for specific markets. HeyGen’s AI tools could also address subtle nuances, such as accents and microexpressions, to deliver successful localization.
With HeyGen’s help, Trivago cut its post-production time in half, which saved the team 3-4 months. They also localized content to 15 locations in just three months, an impossible accomplishment without AI tools. The biggest win, however, was agility. With their new short-form strategy firmly in place, Trivago could roll out fresh content across new markets exactly as needed.
Why we like it: The Trivago x HeyGen partnership shows how easy it is for companies to expand their marketing footprint with AI, even across a global consumer base. It’s also a great example of how a company can use its own videos to scale up a campaign, with just a few AI tweaks.
Channels used: TV ads, YouTube and social media marketing.
Best for: Video localization with limited budgets or timelines, especially for lead generation across multiple markets and languages.
6. Spirit Airlines x Synthesia
(Source: YouTube)
AI-powered short clips aren’t just used for marketing and training. AI video can help companies scale across other challenges as well. For aviation company Spirit Airlines, the issue was internal comms, and they turned to AI pioneers Synthesia for a solution.
One challenge is that much of Spirit Airlines’ workforce is constantly in the air, which makes text-based communication (e.g., to communicate new health and wellness policies) ineffective. Most people don’t have time to read the correspondence and can’t engage with the content during their workday.
Spirit knew that video was the ideal solution, but traditional video production was simply too slow and expensive to meet their needs.
Synthesia’s AI tools helped the team rapidly transform large volumes of text into a collection of highly effective short-form videos. The airline reported a 6x increase in engagement and a 76% decrease in internal phone inquiries about policies. This led to less HR time spent on queries and a much clearer internal communications landscape.
Why we like it: Spirit Airlines’ gains prove that AI video is a solution that goes beyond just marketing. Used effectively, AI video automation short clips can benefit every aspect of enterprise communications.
Channels used: Email, Spirit’s employee app and the intranet.
Best for: Companies that need a simple solution to text-to-video conversion, especially for internal communications and policy updates.
7. Hyundai Department Store x DeepBrain AI
(Source: YouTube)
The DeepBrain AI x Hyundai retail chain collaboration is another innovative example of scaled-up AI video production. The project was rolled out at the retailer’s flagship store in Songdo, Korea, to help the company respond to a growing volume of foreign customers.
At the time, Hyundai struggled to provide customer support and personalized shopping experiences across multiple languages and thousands of possible real-time queries.
The solution? A full-scale AI Human service that combines AI avatars with natural language capabilities for instant support in multiple languages. To access the service, customers simply scan a QR code and receive answers in multiple formats, from on-screen text to voice and images.
As a result of the initiative, Hyundai Premium Outlet has seen a significant boost in customer satisfaction and positive feedback. They’ve also delivered a deeply personalized shopping experience to all customers, regardless of their location.
Why we like it: This case study is a good example of how companies can combine physical tech (e.g., QR codes) with generative AI video to deliver a truly customer-centric experience. It’s a great example of how AI video studios can genuinely elevate your brand.
Channels used: In-store video and physical touchpoints.
Best for: Retail or other customer-facing brands that want to take an innovative approach to personalization.
7 best practices for scaling short-form video with AI
The examples above all highlight what a real difference AI video can make. But it’s important to recognize that not every AI-driven video project achieves the same level of success.
The brands that excel at AI-powered video production have a few things in common. They prioritize brand consistency. They test systematically. They build feedback loops that catch mistakes or ineffective content early. And they make their workflows smarter over time.
The right video production partner should bring expertise in enterprise-level workflows and know how to manage multiple stakeholders. They need the ability to deliver at scale and speed—not just one-off projects—while still producing creative that balances brand consistency with fresh ideas.
How can you guarantee similar success? Make sure your team adopts these best practices.
1. Consistent branding via templates and style guidelines
Before you generate a single AI video, lock down your brand templates and style guidelines. These should include fonts, color palette, logo placement, motion graphics style and tone of voice for spoken or written video elements.
Use these templates as the foundation for all AI-generated content to scale production quickly while preserving a consistent, recognizable brand identity.
2. Variant generation frameworks
Develop a structured process for the production of multiple video variations.
The idea is to build a process that starts with a single core creative concept. You should then be able to intentionally spin out multiple versions optimized for different formats, audiences, platforms, CTAs and hooks. Each variant should exist for a specific reason (not just “more options,” but clear hypotheses about what will perform better and why).
Document which variants you’ve created for each campaign and why, and you’ll be able to use the resulting framework(s) as a playbook for future work.
3. Automated editing and highlight detection
AI can mine “golden moments” from raw footage faster than any human editor, using tools that automatically detect highlights. This makes it easy to quickly convert hours of footage into short clips of only the best moments.
Use this capability to convert your existing long-form content, like webinars or event recordings, into dozens of social-ready snippets. It saves time and breathes new life into underutilized assets.
4. Platform-specific optimization
Each social media platform has different technical requirements and audience behaviors. For example, aspect ratios, video length and ideal pacing vary widely across Insta Reels, LinkedIn clips and YouTube Shorts.
Use AI to optimize videos so they feel native to each platform, rather than awkwardly repurposed.
5. Feedback loops, QC and human oversight
Using AI doesn’t mean outsourcing oversight. Every video you put out there can impact your company’s reputation, so there must be a layer of human oversight between the creative concept and the final output.
Ensure review checkpoints and clear feedback loops are built into every AI workflow.
6. Metadata, tagging and searchability to reuse assets
As you scale to hundreds or thousands of videos, it’s vital to ensure you can quickly find what you need.
Implement a robust metadata system that tags each video with relevant information (e.g., campaign name, product line, target audience, platform, and creation date).
7. Batched workflows, queues and scheduling
Create videos in batches, as this helps your team apply the same templates, rules and review criteria across multiple assets simultaneously.
In parallel, establish a reliable system to queue and schedule videos for publication, based on optimal times for each platform or audience. This ensures a steady stream of quality content and frees your team from the headache of manual scheduling.
To conclude: These best practices work together as a system. Master the fundamentals, and you’ll be able to build an AI video engine that scales sustainably and generates exceptional video content on demand. If your team isn’t equipped to implement these practices at scale, you may want to outsource to an expert AI video production company, such as Superside.
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Superside’s AI-powered services for enterprise short-form video scale
Should you make Superside your creative team’s creative team and lead the charge in short-form video for your sector?
It certainly makes sense to do so. As the leading AI-powered creative service for enterprises, Superside has completed over 5,000 AI-powered projects since 2023, saving our customers $4.5 million in creative costs.
Our list of AI-powered video services includes everything from fun, bite-sized videos that hook viewers to broadcast-ready ads and narrative-style animations. We also offer creative design and marketing services.
No matter the task or goal, we deliver top-quality creative at speed and on-brand. Here’s how we do it:
Custom model and pipeline development
Generic AI tools tend to produce generic results. Superside builds custom AI image models and creative pipelines based on your brand’s visual assets and cinematic language.
This service includes:
- Brand-trained models that absorb your visual identity, motion language and brand guidelines like a sponge. This means all your brand elements get embedded in the AI’s generation logic. It’s the best way to avoid style drift and off-brand video assets.
- Variant engines that allow you to generate video variants within tightly controlled parameters for specific campaigns or projects. Over time, variant engines learn which styles or cuts perform best.
Template systems and style libraries
Superside can also help you create sophisticated template systems built around your brand design systems to unlock even faster variant generation.
You’ll benefit from:
- Custom, pre-defined templates that let you swap headlines, CTAs, product shots or music tracks within a particular style or format. With this approach, one master video can be converted into 20 platform-specific variants in minutes.
- Platform optimization that helps you to automatically generate video versions for TikTok, Instagram Reels, YouTube Shorts and LinkedIn. Each is generated with the correct aspect ratio and length to ensure your videos perform well across channels.
- Style libraries that define your motion and cinematic language and specify elements such as transition and animation styles. With these libraries in use, you’ll help to ensure that every video feels cohesive, even when different teams work on the project.
Batching, orchestration and scheduling support
Superside’s short-form video workflow AI systems are designed to help you batch and schedule dozens of variants at high speed.
For one customer, we produced more than 450 personalized videos in a week. We could do this because:
- Our creatives were able to generate a large volume of content in very little time while maintaining the highest possible quality.
- We identified key content components (such as personal messages) and outlined the workflows required to deliver them (pre-rendered visual components and personalized text generation).
- We designed and tested a template after which we produced the tailored videos. We then inserted customized text into each one in just a couple of clicks.
Superside also supports enterprise-level creative teams with scheduling and delivery for consistent output. Need 12 videos per week for the next quarter? Watch as we build out a production schedule that keeps your content pipeline flowing across time zones and campaigns.
Review and QC layer
Automation and AI-driven creativity are powerful, but they should never operate without oversight. Our policy is simple: Every video must undergo rigorous human review.
Human-in-the-loop review means that, while we use AI tools for key tasks (such as cut suggestions and variant generation), human creatives remain accountable for quality and brand alignment.
Our team also catches what the AI tools can’t, such as visual glitches, tone misalignments and hallucinations that undermine creative integrity. They also do thorough brand compliance checks to ensure every video adheres to each customer’s brand guidelines and messaging.
Finally, we use modular AI workflows. That means we can adjust the level of automation based on project risk, brand sensitivity or asset criticality.
Integration with creative, motion and campaign workflows
In today’s cohesive brand landscape, you can’t afford to have a graphics team that works independently from the video production or ad creative team.
The good news is that if you work with us, our team will become a seamless extension of yours. We’ll also simplify team collaboration with our Superspace platform.
You can also expect:
- Cross-channel campaign support: We’ll help you create cohesive campaigns where video works alongside static ads and other content. As one of the world’s top-rated ad creative agencies, we’ve truly nailed how to deliver successful multichannel campaigns.
- Connected creative services: Superside offers 20+ creative services under a single, flexible subscription. That means you get access to everything from animation to illustration, 3D and AR design, and web design in one package. Whatever workflow or process you’d like to roll out, our talented creatives, backed by AI, can support you every step of the way.
- Integrated brand models: Superside offers integrated brand models, such as our Figma plugin, that allow creative teams to generate and explore ideas, with briefs, ideation and early-stage production all in one place.
For example, with the Figma plugin, you can turn ideas directly into visuals before video production begins. This results in a more collaborative workflow and helps multiple teams to easily contribute to early-stage asset design.
Scaling video content with AI: The competitive edge you can’t ignore
For modern brands, AI short-form video has become the fastest way to expand reach without sacrificing quality. But even the biggest brands can’t do it all manually.
AI-powered video is the perfect solution. With the right AI-backed processes, you can roll out hundreds of assets at scale and maintain good quality.
But succeeding at short-form video at scale is all about method, not magic. We’ve seen firsthand how custom AI models, template systems, orchestration workflows and quality controls work together to deliver success.
Ready for enterprise short-form video scale? Then make Superside your creative team’s creative team.
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