

Arnau Sanz
Agentic Strategy & AI Transformation LeadSUCCESS CASE · Retail and Luxury
This case explains the challenge of Rabat, the solution Brand Guard and the decisions that allowed it to be applied with knowledge, human control and reviewable results.
In a jewelry and watch brand, consistency does not depend only on applying a logo. It lives on rhythm, vocabulary, light, framing, level of detail and the relationship between product, occasion and person.
Karmina AI Studio Brand Guard that compared each proposal with brand criteria and approved examples before the piece entered the final circuit. The AI accelerated repetitive checks; the creative direction continued to decide what had value, desire and uniqueness.
Main CTA: Protect the brand as it grows CTA Secondary: Discover the Brand Guard
Campaigns, events, product news, editorial content and channel adaptations generate a large number of pieces. When different teams or suppliers work at the same time, the mistakes are not always obvious: a too promotional adjective, an incorrect visual hierarchy or a cut that eliminates the essential detail can change brand perception.
The challenge was to gain speed without automating taste or turning exclusivity into a sum of rigid rules.
Brand information is usually distributed among brand books, previous campaigns, undocumented criteria and knowledge of people. It was proposed to turn this information into a system of consultation: principles, uses, examples, restrictions, exceptions and managers.
The system differentiated three levels: objective errors, deviations that needed to be reviewed and creative decisions that did not correspond to automating.
A CAS IS NOT COPY
In a free video call we will separate the useful idea from the one that depended on the client, the data, the team or the specific moment.
The Brand Guard worked on four dimensions:
The Image Editor prepared adaptations from an approved master's degree. The Brand Guard checked the measurable rules and pointed out doubts. The Karmina Review Agent gathered the incidences so that the human review was shorter and more consistent.
The system helped detect repetitive deviations earlier, reduced mechanical correction rounds and gave teams a common language to justify the changes. The creative management was able to concentrate on what is not automatable: the criterion, the composition, the emotion and the exception.
Main results: more consistency between channels, less recurring corrections, better traceability of exceptions and faster adaptations from an approved master's degree.
YOUR START POINT
A summary of the challenge, the current process and the expected result is enough to begin to value a route of its own.
The team


Arnau Sanz
Agentic Strategy & AI Transformation Lead

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
Tell us about your situation, even if the challenge is not fully defined. A member of our team will respond to understand the process and discuss a first step.
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