What is AI design agency?
We’re entering a new era of design — one where AI isn’t just a tool in the toolbox, but the engine running the entire studio.
Think of it like upgrading from riding a bike to driving a smart car.
You’re still steering, but now the system helps you move faster, smoother, and with less effort. The core difference is that these agencies — which we’ll refer to as AI design agencies — are built with AI in their DNA: delegating routine tasks, creating new roles, and running on AI-first processes that help clients get more from every service.
Consider the most recent statistics:
82% of companies are already using AI or looking into how it could help their business.
For the design industry, this signals about a foundational shift in who creates, how we create, and what creation even means. If 82% of companies are using or exploring AI, that means it’s moving from “cool experiment” to expected standard. When internal teams start seeing what AI can do — faster visuals, creative branding, content at scale — their expectations shift. They’ll come to agencies not for execution, but for vision, taste, and brand intelligence on top of AI. But first, let’s get clear on how AI Design Agency is different — not in theory, but in practice.
How is AI Design Agency any different?
AI Design Agency shifts the speed and scale of creative work — for both sides.
For clients, it means faster delivery (think hours, not weeks), more creative options to test, and content at scale without inflating budgets. For agencies, small teams can now punch above their weight. Less time is spent on repetitive work, more on making ideas sharper, faster.
It all comes down to simple math: more done, in less time, with better output. Now, the value of that “more” doesn’t look the same for the client and the studio — let’s take a closer look at what each side actually gets out of working with an AI Design Agency.
| 💬 Client’s perspective • The delivery of visuals, videos, or copy within hours or days, not weeks • More variations: you can test 10–20 creative options, not just a few • More output in fewer hours • Creative + strategic input: human experts focus on concept, positioning, messaging • Get content at scale – great for startups that need high volume of visuals or micro-content | 💬 Agency’s perspective • Small teams can deliver enterprise-level results • Prompt tweaks = instant changes, no endless feedback loops, which means faster feedback • Test faster, learn quicker, optimize design decisions • Automate short tasks, reduce human errors, and make more informed decisions |
💡 AI Design Agencies are smarter about how time and talent are used. Clients get more value, more quickly. Agencies get to do better work with leaner teams. The goal isn’t to replace creativity, but to access more of it — and do it at speed.
Behind the scenes AI solutions
AI is expected to boost employee productivity by about 40%.
From our experience, this boost is already happening, and we’re seeing the real-world impact on how agencies deliver services. In this section, we’ll walk you through practical examples from our own practice to show you how AI is affecting business operations.
Market analysis in action
Let’s say our agency is working with a client in the B2B SaaS space — their product helps mid-size teams automate internal workflows. Before we work on the design or strategy, we need clarity. Who are they up against? Who are they selling to? And what exactly are they selling — in words real people understand?
Analyzing the competition & understanding the target audience
We kick things off by understanding the competition. For our tech client, the first question is: Who else is in the game? Before AI, we’d spend hours Googling, combing through directories, LinkedIn profiles, and niche reports — a time-consuming and often incomplete process. Now, we ask GPT to list the top 10 competitors in this niche and get a solid market overview.
For some cases, we turn to Perplexity AI — it pulls all findings on any topic together into a neat summary and can be extremely helpful for complicated niches.
This gives us the foundation to start thinking about what makes our client’s offering stand out in the tech landscape.
Next, we shift to the audience. Who are we speaking to? What drives them?
Using AI, we create user personas that capture the core needs, challenges, and motivations of our client’s ideal customers. This step ensures we’re not guessing at who they are, but rather getting a detailed understanding of what makes them tick. Personas, scattered from customer interviews, CRM exports, or guesswork based on general industry patterns are now in the past. This helps us quickly zero in on whether we’re designing for tech-savvy professionals, early adopters, or more traditional buyers — which directly informs messaging, content, and UX.
Smart idea generation
AI-powered creative agency can take the creative process to a whole new level. The first step, like in any design project, is research — but this isn’t just about user behavior or functionality.
Here’s how it looks in practice:
- We can use AI to quickly surface top-performing websites in a specific niche — whether it’s B2B SaaS known for clean UX or fintech platforms built around trust. Instead of manually digging, GPT can scan award platforms like Awwwards and bring back examples that match your product category and tone.
- When your brand idea feels too abstract to visualize, AI can help bridge the gap. With a single prompt, GPT can generate a list of visual associations that match your product or service — and explain why they make sense. These ideas can serve as a foundation for moodboards, UI elements, or even brand illustrations.
- We can ask AI to lay out multiple stylistic paths that could work for a specific product or audience. Whether it’s minimalism, Swiss design, or something more expressive, GPT helps us evaluate which direction makes the most sense based on tone, goals, and market fit.
- Typography can make or break a design. We use AI to suggest font pairings that align with the logo style, audience expectations, and brand voice. It gives us a focused list to test — saving hours of trial-and-error in the early stages.
- We can ask AI to generate palettes that reflect specific values and emotional tones, complete with reasoning for each choice. That way, we ensure the visual identity communicates the right message from the start.
Then, image-generation tools like Midjourney or DALL·E can bring these concepts into moodboards — letting us visually test and refine directions before committing to a full design sprint.
💡 Everything we gather is just a data — AI-generated insights can be useful, but it’s important to approach them with a critical eye. They’re not the final answer but can spark ideas or guide our thinking toward a direction you might not have considered.
Web design cases
AI excels at idea generation, but its real power lies in asking the right questions at the right time. When building digital experiences for modern tech products, especially in complex or emotional spaces, artificial intelligence agency can make the most of out of initial brief — here’s how.
Shaping structure with AI
Let’s say we’re designing a site for a mental wellness app — one that blends guided meditations, CBT-based exercises, and daily check-ins. The goal is to build something calming, trustworthy, and engaging — without overwhelming the user.
Here’s where AI steps in:
- We start by analyzing comparable platforms — from meditation apps to habit trackers — and ask ChatGPT to suggest homepage structures that reflect industry norms while emphasizing this product’s differentiators (like “personalized routines” or “therapist-approved exercises”).
- Next, we use AI to brainstorm layout options tailored to the brand’s tone: is it clinical and evidence-based, or warm and community-focused? The structure changes depending on how we want users to feel.
- We can also generate a prioritized sitemap — with high-need pages like “How It Works,” “Science Behind It,” “Stories from Users,” and “Start Your Routine” — focused on guiding a first-time visitor from curiosity to trust.
Planning for the platform
If we’re building in Webflow, we turn to AI again — not for code, but for clarity:
- We use it to map out CMS structures — like creating a reusable format for “daily tips,” “mood logs,” or “expert articles.”
- We run AI-powered SEO audits to ensure we’re targeting queries like “how to manage anxiety without medication” or “daily mental health check-in app.”
Bringing visuals to life
Mental health can be hard to visualize — especially when you’re trying to avoid clichés or overly clinical imagery. We can use AI to generate entirely new visual assets — whether it’s illustrations for product pages. In this case, AI helps us bring abstract ideas to life.
- We can ask to generate soft, abstract illustrations to represent states of mind — like calm, overwhelm, focus — without relying on generic stock images.
- For onboarding screens or product previews, we can use tools like Pebblely to create polished, device-ready mockups that look real — even before development starts.
- If the site needs a visual identity refresh, tools like Midjourney can help us explore color palettes, iconography, or even background textures that evoke specific moods. Need a stylized 3D mascot for a landing page? Tools like Spline help us build it.
💡 AI usually opens up new directions. We test faster, explore more, and keep the creative momentum high.
Branding cases
AI in branding can deepen the research and spark new ideas early on, making the entire process more efficient and seamless. For the sake of clarity, we’ll take a Web3 education startup that focuses on educating people in cryptocurrency trading as an example.
Refining brand voice
Let’s assume we’ve conducted a series of deep interviews with users and potential customers, and gathered a wealth of raw feedback. Now, this feedback needs to be transformed into a well-directed brand voice. How can AI help here?
- AI can find hidden patterns within large amounts of data that might be hard to spot manually.
For instance, we may find that many users express concerns about “the complexity of cryptocurrency trading” or feel that “information is scattered across too many platforms.” AI can identify these pain points and track what is most frequently mentioned, helping us come up with more targeted brand message.
- We can deepen the research by using a sentiment analysis — analyzing the tone of the message so we can see whether it’s positive, negative, or neutral.
Users may express frustration with “too much jargon” (a negative sentiment). By identifying this pain point early, we can communicate more clearly that platform is intuitive and focuses on simplicity for its users.
- AI can analyze and extract key language patterns, tone preferences, and recurring themes from the responses.
If clients often use phrases like “easy to work with,” or “really got our vibe”, it suggests they resonate with a warm, approachable brand voice. By aligning our tone of communication — from website copy to client proposals — we align brand voice with what feels authentic to clients.
💡 AI helps your brand voice align with what truly resonates with your customers — something that humans might overlook within vast datasets. This impacts all future communication, increasing the likelihood of direct and effective resonance with your audience.
Brainstorming ideas for logos
Say you define your brand as innovative, trustworthy, and educational. Instead of starting with a blank page, AI tools like ChatGPT can instantly generate:
- 20-30 logo concepts that reflect those traits — from a stylized “B” that ties into Bitcoin to modern visuals signaling forward-thinking and relevance.
- Color palettes that feel clean and modern (e.g., deep purple for trust or fresh green for innovation).
- Font suggestions that balance tech-forward design with clarity.
- Visual metaphors like bridges (connection), flow lines (scalability), or soft geometry (approachability).
Say you define your brand as innovative, trustworthy, and educational. Instead of starting with a blank page, AI tools like ChatGPT can instantly generate:
💡 By using AI, you’re not replacing creative work — it’s more about skipping the blank canvas. You get more ideas, more visual inspiration, and a clear sense of direction early on.
Video production cases
Video production is one area where AI designers can deliver services with minimal designer input. A striking example of this is the AI-generated KFC commercial, Ready 2 Roll, which is basically an AI design product. David Blagojevic’s project mixed traditional storyboarding with AI tools like Runway, Pika, and OpenAI’s Sora to create stunning photorealistic visuals and a compelling story — without needing new live-action footage.
The same approach works for just about any case — even for a manufacturer of ceramic solutions. Let’s take a look at another example.
Animating videos without designers
Imagine this: You’re celebrating 45 years and want to announce the launch of the brand-new website that would reflect your values.
In the past, that meant finding a motion designer who resonates with your style, writing a script with a copywriter, and waiting weeks for edits. In the AI design agency, the team you’re hiring opens ChatGPT and shapes a scenario. They feed it into Midjourney to generate visuals. Next, the team drops those assets into an AI video tool like Runway — adding smooth transitions, an AI voiceover (ElevenLabs is a good choice), maybe even a face. Need music? AI composes it for the vibe you need.
Within a few days (and likely just a few iterations — which don’t take long, since AI helps with all the edits), an AI video content creator can make you a polished, on-brand video ready for your product launch. Here’s a comparison at a glance:
| Aspect | Traditional videos | AI-driven videos |
|---|---|---|
| Storyboarding & Visuals | Manual illustration, time-consuming revisions | Generated instantly with Ghat-GPT, Midjourney, or similar tools |
| Voiceover | Hire voice actors, book studio time | AI-generated voiceovers in multiple languages |
| Music & Sound | Composer or stock licensing | AI-composed or royalty-free AI-matched music in minutes |
| Time to Produce | 2–6 weeks | 1–3 days |
| Team Involvement | Multiple specialists (writer, designer, animator) | One creator or small team using AI tools |
| Scalability | Low — more videos mean more time and cost | High — batch-create variations quickly |
That’s exactly how we approach animated video creation — take a look at the recent case.
💡 Creating videos with AI design agency is not just faster. It’s scalable, flexible, and cost-effective, requiring much less manual work from the designer (or any AI specialist for that matter).
Turning technically complicated niches into a finely tuned story
Crafting a strong animated video goes beyond visuals. Our goal is to craft a scenario that feels right, that speaks through rhythm, visuals, and emotional cues. Especially when your client is, say, a leading manufacturer of ceramic beads and coated solutions. Suddenly, you’re knee-deep in technical terms, industrial processes, and very specific value propositions.
In the past, we might’ve Googled our eyes out trying to piece together how the materials work, what problem they solve, and what matters most to their buyers.
With AI, the process looks slightly different:
- AI content creators start by using all the client’s materials and address any questions with AI first — to break down nuanced, technically complex terminology into simple terms, step by step. No more Googling and piecing together concepts from multiple resources.
- AI tools can generate concise overviews of lengthy documents or industry reports. We grasp the big picture and focus on the most relevant information for the storyline.
- We then ask AI to generate a scenario structure based on this input — think of it as a first-draft storyline that captures the product’s impact, simplified metaphors, and a tone that fits the brand.
💡 Now, businesses can turn complex, technical products into clear, emotionally resonant stories — without the usual research bottlenecks. All while cutting costs and still delivering visually compelling results.
From low-quality to high impact
Since the rise of AI, we’ve watched some genuinely complex problems turn into simple, one-step tasks. Take this common scenario: a client sends over a single, low-quality image and says, “Sorry, that’s all I have.”
A few years ago, this would’ve meant settling for a blurry image or redesigning the layout around it. Today, it’s just another input. Smart design agency can upscale it to high resolution, change the background, match the brand’s color palette, or generate a quality-enhanced version. In minutes, what used to be a creative blocker becomes a part of the final design.
💡 For businesses, this means faster turnarounds, fewer compromises, and higher-quality outcomes, even when inputs are far from perfect.
Our Experience: AI Web Design for Game Dev QA Provider
See these illustrations? They’re game QA testing characters — all created with the help of AI.
When we started working on SnoopGame, we knew that the characters would be at the heart of the brand. They had to be expressive, playful, and instantly appealing to young users — and they needed to work across different screens, interactions, and in-game scenarios.
We considered the usual route: character ideation through traditional sketching, countless style explorations, rounds of revisions. It’s a process that works — but it’s also time-consuming, especially when the vision is still forming.
So we tried something different.
Instead of starting with a blank page, we brought AI into the early stage of character development. Using MidJourney, we generated a range of visual directions to get a board full of styles, poses, and personality traits.
Without AI, we would’ve spent 2–3x more time on early exploration — and even then, we might have missed the breadth of visual possibilities AI helped surface.
With these AI-generated concepts in hand, our team stepped in to do what humans do best: curate, refine, and bring clarity. Using Photoshop and Figma, we adjusted proportions, polished facial expressions, and aligned the color system to the brand’s identity. That’s how we’ve crafted 18 unique characters that feels cohesive, expressive, and made to last.
💡 For tech teams building products with visual storytelling at their core, AI can help to start strong and move faster.
AI in Website Development
There’s a common misconception — especially among founders — that once the website design is done, it’s ready to go live. Spoiler: it’s not.
Design is only half the job. What most people overlook is that you still need to build the thing — translate that sleek Figma file into a live, functional, fast-loading site. The website development is what turns visuals into interactions, logic, performance, and integration with your backend. And these days, AI is part of the equation too.
How AI is changing how we build — line by line
Today, developers don’t need to start from scratch or dig through endless threads on Stack Overflow. They have real-time copilots that help them work faster and smarter. If we’re talking about the AI development agency, the flow can slightly differ.
Here’s what GPT-based tools can do:
- Write functional code snippets based on plain-language prompts:
“Generate a React component with a dark/light toggle” → Done in minutes. - Fix bugs by explaining what’s wrong in the code and suggesting better approaches.
- Translate unclear documentation or legacy code into plain English (or vice versa).
💡 This doesn’t mean every junior becomes a senior overnight — but it does mean your team spends less time googling and more time building.
Smart IDEs — less noise, more flow
Tools like WebStorm, PHPStorm, and Visual Studio Code now come packed with AI integrations that speed things up:
- Code completion that understands context and style.
- Inline explanations for unfamiliar functions or frameworks.
- Real-time error spotting with smarter suggestions (not just red squiggles).
💡 For fast-moving fintech teams, this means fewer blockers and better momentum.
Future of AI
A few numbers first:
The global generative AI in design market size is calculated at USD 750 million in 2024, grew to USD 995 million in 2025, and is predicted to hit around USD 13,950 million by 2034.
What does it mean?
The growth is extremely fast: from about $741 million in 2024 to almost $14 billion by 2034 is nearly a 19x increase in 10 years. This kind of growth signals mass adoption and major disruption coming to how design is done.
Seems like a fundamental change can be happening to the design industry, where services can be delivered without traditional designers. From what we’ve observed, this shift is creating new roles within the AI design agency space — like Prompt Architects and AI Content Creators.
The future of AI design roles
As AI reshapes how we work, roles in digital design are shifting — and fast. Entirely new specialisations are emerging at the intersection of creativity and automation — and we’re already seeing these roles take shape in the market of AI digital agencies.
- Prompt designers
Getting quality output from tools like MidJourney, DALL·E, or GPT isn’t a matter of trial and error — it’s already a craft. These specialists know how to speak the AI’s language, using thoughtful inputs for artificial intelligence content creation. - Automation specialists
Whether it’s streamlining design flows in Figma with AI plugins or building efficient no-code systems in tools like Make, Webflow, or Zapier — these folks can focus on removing friction and scaling creative work without sacrificing quality. - Social media AI content creators
These professionals may use AI to create social media content, UX copy, landing pages, and even branded video scripts — always rooted in a clear understanding of the brand’s strategy and voice. - AI Quality reviewers
With content and visuals now generated in seconds, someone has to ensure it all holds up. These reviewers can evaluate for quality, usability, and bias — safeguarding the user experience and maintaining brand integrity at scale.
So is the sky the limit with AI?
Not quite. It’s not the sky — it’s our own imagination and intent that set the limits. And here’s what we’re noticing already:
- With AI service design, specialists can explore complex industries, unfamiliar products, and new audiences at double the speed.
- Clients come to us better prepared, often with structured research, clearer messaging, and refined positioning — thanks to AI.
- Project management feels lighter: AI tools handle summaries, notes, recordings, and repetitive admin with ease.
But here’s the thing:
AI thrives at structured, repeatable tasks — generating, organizing, suggesting.
What it can’t do is create meaning. That’s still on us.
In a world of templates and automation, the role of an AI-powered design agency isn’t to replace human teams — it’s to amplify them. By letting AI take care of the groundwork, we free up time and energy for deep work: strategy, storytelling, and creative decisions rooted in real business goals.
So even with AI design agencies taking its place in the industry, it’s about using that speed to think bigger, move sharper, and build bold brand experiences.
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