Arnau Sanz
Agentic Strategy & AI Transformation LeadKarminaAI StudioAgents · Services · Training
SUCCESS CASE · Consumo
Braun
This case explains the challenge of Braun, the solution Image Editor and the decisions that allowed it to be applied with knowledge, human control and reviewable results.
StrategyOwn knowledgeProportional permissionsHuman supervisionMeasurement and improvement
01
Edition and adaptation assisted by AI to multiply formats while maintaining campaign proportion, functionality, rights and coherence
When a personal care campaign moves from the master piece to social, display, retail, e-commerce and landing page, each adaptation can alter the hierarchy or detail that makes the product understandable. The challenge for Braun was to accelerate this production without generating visual versions that promised non-existent functions or disfigured the original design.
Karmina AI Studio implemented a Image Editor limited to approved operations: trimming, expanding funds, cleaning, adapting compositions and preparing variants. A Brand Guard checked product elements, claims and rules; the design team made the final decision.
Main CTA: Scale visual production with control CTA Secondary: Discover Image Editor
02
Summary Fact Sheet
- Brand: Braun
- Sector: consumption and personal care
- Challenge: adapt campaigns to many formats without altering product or promise
- Principal Agent: Image Editor
- Complementary agents: Landing Builder · Brand Guard
- Service: creative production assisted by AI
- AI layer: agents of visual editing, format adaptation and brand control
- Human role: art direction, selection, final touch, claims and approval
03
El challenge
An efficient variant ceases to be so when it forces to correct the product
Generative tools can fill spaces or create alternatives quickly, but they can also modify buttons, accessories, proportions or textures. In personal care products, these errors are not decorative: they can induce incorrect interpretation.
The challenge was to delimit what could be automated and what had to be blocked from the first moment.
04
The starting point
The system was based on approved masters, official product packs, a table of claims and templates per channel. Before creating any variants, protected areas, non-modifiable elements, formats, margins and accessibility requirements were defined.
It also differentiated between editing a real image and generating an illustrative environment, because the transparency and validation circuits are not the same.
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05
The Karmina AI Studio approach
The solution combined three pieces:
- Image Editor: First adjustments and controlled cleaning.
- Brand Guard: product checking, logo, claims and legibility.
- Landing Builder: integration of the variants into a functional and responsive page.
Each transformation was recorded so that the team could know which master, which instruction and which tool the version had produced.
06
How it worked
- Reception of the master's degree and official assets.
- Definition of protected areas and allowed operations.
- Generation of variants by format.
- Automatic comparison with the original product and claim.
- Review of design, accessibility and legal.
- Export and test in the final contexts.
07
Governance and Limits
- The product, accessories and features were not generated or modified.
- No people, witnesses, or results of fictitious use were created.
- The rights of the original assets had to be retained.
- A generative expansion of funds was identified internally.
- No variants were considered final without human review in the target format.
08
Results
The system reduced the time of repetitive adaptations and detected product alterations, margins or claims earlier. The designers were able to concentrate on composition and difficult cases, while the AI prepared the most predictable versions.
Main results: more speed of first adaptation, less product errors, greater consistency between channels and better version tracing.
YOUR START POINT
Tell us what you want to transform.
A summary of the challenge, the current process and the expected result is enough to begin to value a route of its own.
09
Related agents and services
- Image Editor: Controlled visual adaptation.
- Brand Guard: Brand and product check.
- Landing Builder: Integration and QA.
- Assisted creative production: human circuit, tools and rights.
10
Closure and CTA
Automating a variant does not mean automating art direction.
The team
The team that connects strategy, implementation and monitoring
Ignasi Llorente
AI Partnerships & Business Director
Martina Díaz
AI Finance & Business Intelligence Director
Daniel Mallén
AI Operations & Workflow Lead
Eva Trigo
Generative Creative Director
Ariadna Miranda
AI Administration & Knowledge Operations Lead
Claudia Gonzalez
AI Client Success Manager
Jonan Basterra
AI Social Strategy Director
Laura Sabio
Agentic Social Media Lead
Agustina Córdoba
Content AI Specialist
Alba Gómez
Social Listening Specialist
Paola Cudeiro
AI Client Success Specialist
Roger López
AI Project & Workflow Specialist
Mar Berzal
AI Content Strategy Lead
Andrea Gallego
Community Intelligence Specialist
Candela de la Fuente
Content AI Specialist
Blanca Gómez
AI Community Operations Specialist
Cintia Armajach
Content AI SpecialistLet’s talk
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