We develop high-volume creative assets designed for scale-focused channels, mainly paid social and performance media. Using AI-enabled workflows, we produce, adapt, and version content quickly, maintaining brand consistency and creative quality in every output.
AI creative production
AI-powered creative that helps brands scale content, test faster, and deliver enhanced performance across key channels.
- Services
- Brand and Creative Services
- AI creative production
Built for scale and speed
As channels fragment and content demand rises, creative production pressure shifts. Brands need more assets, variants, and faster turnaround without sacrificing quality or control.
Powered by IDHL Labs, we merge creative thinking with AI-driven workflows to produce, adapt, and optimize content at scale. This includes generating large volumes of paid social creative, building product content systems for eCommerce, or swiftly testing and refining campaign assets based on live data.
The result is an efficient production model delivering more output at lower cost, with consistent control and quality assurance.
Creative production at scale
Creative testing and iteration
We create structured methods to test creative, using multiple variants to understand drivers of response and improve performance. This includes generating new formats, messages, and executions, then refining based on performance data.
Production built around AI
Creative is no longer static. It can be continuously tested, adapted, and improved. We build AI production systems that support this, linking creative development closely with performance and giving teams clearer insight into what works and why.
eCommerce and product content at scale
We create scalable systems for product and eCommerce content, helping brands generate high-quality assets across large catalogs. This includes product images, storytelling, content variations, and supporting assets to boost visibility, engagement, and conversion.
Rapid concepting and prototyping
We use AI to quickly explore ideas, develop early-stage creatives, and test multiple approaches before full production starts. This helps us move faster, decide earlier, and cut time and costs compared to traditional concept development.
AI-enabled production workflows
Through IDHL Labs, we develop and implement AI workflows that support content generation, editing, versioning, localization, and asset management. These systems aim to boost speed and efficiency while maintaining creative direction, brand control, and quality firmly under human oversight.
Powered by IDHL Labs
Our AI Creative offering is built on IDHL Labs, where we develop AI into practical tools across IDHL. Our incubator centers on two core platforms: Labs IP, helping teams identify opportunities and prioritize actions, and Labs CP, enhancing how creative is tested, developed, and refined across paid media. All focused on live delivery to improve work flow and performance.
Wes Maynard, Managing Director
"The concern with AI in creative is always, 'will it dilute the brand?' Our answer is no. We use AI to remove bottlenecks in versioning, iteration, and volume. Creative direction and quality assurance remain firmly with our people."
FAQs
AI creative production is how we use AI‑enabled workflows to help brands produce, adapt and optimise creative assets faster and at higher volume, without losing control of quality or brand standards.
It helps when demand for content exceeds traditional production. If you need more assets, more variants, and faster turnaround, AI-powered production can reduce bottlenecks while maintaining quality checks.
It can include:
* High-volume creative for paid social and performance media
* Structured creative testing and iteration based on live results
* eCommerce and product content systems across large catalogs
* Rapid concepting and prototyping to explore routes early
No. We use AI to enhance speed, versions, and iterations while preserving creative direction, brand choices, and quality checks by humans.
We create production models that boost output without compromising quality or control. This involves clear review checkpoints and quality assurance to keep work consistent, even as volume grows.
Traditional production is often based on fixed outputs. Our approach treats creativity as something you can test, adapt, and improve continuously, linking development more closely to performance so you can see what works and why.
We take a structured approach to testing, using multiple variants to understand what drives response. We then refine formats, messaging and executions based on performance data.
At a minimum, we’ll need clarity on:
* Your priority channels and where volume is highest (for example, paid social or eCommerce)
* Your brand guidelines and what "good" looks like (quality, tone, approvals)
* What you want to learn through testing (so iteration improves performance, not just output)
It may include those elements, but the focus is broader: building an AI-enabled production system that helps you scale output and improve performance with control. (You might also see it described as “AI creative services,” “AI-powered creative agency,” “AI video production agency,” or “generative design services.”)
Start with a clear use case where volume or speed is already a problem, then prove value through delivery and learning. The goal is a more efficient model that increases output at lower cost without compromising standards.