01
Discovery
Claude and Gemini help us read source materials (brand decks, manuals, CAD specs) faster. A principal reads everything the AI flagged.
AI-first studio
An AI-first studio for industrial brands. Not an AI agency. Not a craft studio that bolted AI on.
Every project ships through a documented pipeline where AI does 30 to 50% of the production hours and a named human signs off at every gate. A configurator at $10K instead of $120K. A multilingual launch in weeks instead of months.
30–50%
Faster delivery
vs a conventional studio for comparable scope
6
Pipeline stages
Discovery, Concept, 3D, Copy, Build, QA
3
Tiers of use
Designing, Building, Shipping with AI
5
Hard limits
Things we will not do with AI, written down
How we compare
Three shapes of vendor pitching the same buyer.
Three vendor shapes are pitching industrial brands right now. The right pick depends on what you are shipping and who owns it when it ships. Here is the trade, written down.
| Question | Traditional studio | Pure-AI SaaS / agent | CCLEMANG (AI-first studio) |
|---|---|---|---|
| Who decides what gets built | Senior designer + PM | A prompt + a model | Two named principals + the client |
| Time to a real configurator | 12 to 16 weeks | "Same day" until it isn’t | 4 to 6 weeks (Sprint) |
| Price for one configurator | $80K to $120K+ | Per-seat / per-render | $10K fixed |
| Multilingual launch | External vendor, 3 weeks | Auto-translated, often broken | AI first-pass + native review |
| Engineering accuracy on a CNC | Strong but slow | Brittle, no domain owner | Two principals + vetted network artist |
| Where the buck stops | A senior at the studio | Nobody | Michael (Seattle) or Nick (Busan), by name |
| What you can audit | Hours logged | Token spend | A documented stage-by-stage map |
A pure-AI vendor is cheaper for thin-content marketing pages and faster for templated work. A traditional studio still wins where the engagement is mostly creative direction. An AI-first studio is the right pick when the work is complex, the deadline is real, and someone needs to own it by name when it ships.
The named pipeline
We call it the Lemang Pipeline.
Working name. Trademark check pending.
6 stages. AI applied where it makes the work better. Humans in every gate where craft, accuracy, or judgement matters.
02
Concept
Midjourney, Imagen, and Stable Diffusion explore directions. We pick three for the proposal. The client sees the human-edited versions.
03
3D generation
Tripo, Meshy, Rodin, Hunyuan3D handle base mesh and texture exploration. Topology, rigging, and finals are human.
04
Copy and localisation
Claude and DeepL produce drafts in Korean, English, Japanese, German. A native speaker on our network reviews every line before publish.
05
Build
Claude Code and our own internal helpers compress engineering wall-clock. Type safety, accessibility, performance budgets, and security review stay human.
06
QA
Visual diff tools (Percy, Chromatic) and AI-assisted accessibility audits. Manual sign-off on every release.
How we talk about it
Three tiers, three verbs.
Most agency AI pages stop at the model and pretend the rest is invisible. We make the layers explicit, because the layers are where engagements get scoped.
Designing with AI
Concept, exploration, decision-shaping. Where AI is fastest. Variation, comparison, mood. We use it to widen the option set, then pick by hand.
Building with AI
Production. Asset generation, copy, code, localisation. Where AI compresses time. We instrument every step so we know what AI produced and what a human edited.
Shipping with AI
QA, monitoring, post-launch. Visual diffs, accessibility checks, content drift detection on multilingual sites. Where AI’s discipline beats human attention.
Where AI does not belong
What we won’t do with AI.
The responsibility stance is a negative list. If a client wants AI applied somewhere we don’t think it serves the work, we say so and propose the human-led version.
What we won't do with AI
- Ship AI-generated copy without a named human edit pass. Korean copy is reviewed by a Korean native. English copy is reviewed by us.
- Use AI-generated images of identifiable people without consent.
- Use client data to train models we don’t own. Your CAD, your brand assets, your customer data stay where you put them.
- Hide the AI. Every case study below tells you which stages used AI and how.
- Bill for AI tokens. The pipeline is built into our hourly costing.
Where the pipeline has shipped
Three cases. Named tools. Named gates.
Industrial · acquired by Korea Zinc
ROBOne · AI sorting robotics
AI applied at
Concept exploration, copy localisation.
Human gate
Design, engineering, every line of client-facing copy edited.
LNG & energy · multilingual rollout
Talent LNG · Tri-lingual export platform
AI applied at
First-draft copy in three languages, multilingual SEO drafts.
Human gate
Native review pass on every language, full editorial pass on engineering content.
Ongoing · $4,000, 2 weeks
AI Ops Audit · Productized sprint
AI applied at
Workflow mapping, opportunity surfacing.
Human gate
Scoping the audit, naming the opportunities, presenting the findings.
Want a two-week look at where AI could compress your own pipeline?
Book an AI Ops Audit ($4,000, two weeks), or send a two-sentence email to info@cclemang.com.