Too much testing, too little continuity
There are demos and initiatives, but not a criterion to decide what stops, what is consolidated and what can be scaled.
KarminaAI StudioAgents · Services · Training
SERVICES · STRATEGY AND GOVERNMENT
Fewer scattered pilots. An AI strategy your company can govern.
We order use cases, knowledge, risks, tools and capabilities so that the generative AI ceases to be a sum of initiatives and becomes an applicable roadmap.
From the interest in AI to a company decision
LLM StrategyReal usesKnowledgeGovernancePilotLearning
SERVICES
A selection of routes. The same knowledge base, criteria and people.
01
LLM StrategyAdoption, Governance and Roadmap
Current ↗02GEOSearch engine visibility and responses from AI
Explore ↗03AnalyticsConnected data to decide
Explore ↗04Business Plan with AIBudget, workflows, return and roadmap
Explore ↗05Social ListeningListen, Context and Recurring Consulting
Explore ↗06ATCPeople, Knowledge and AI
Explore ↗07AI master planManagement, Governance and Adoption
Explore ↗08Creative FlowRecurrent creativity with integrated AI
Explore ↗09Social Media OSShared social strategy and operation
Explore ↗10Brand PlaybookApplicable brand and knowledge
Explore ↗11OpenAI AdsPerformance conversational and measurement
Explore ↗12AI campaigns and videoConcept, production and activation
Explore ↗IN A SCREEN
LLM Strategy is the service that helps an organization decide where it makes sense to apply language models, what they need to function, and under what conditions they can be activated.
WHAT THE SERVICE IS
The technology has come in. Now it's time to give him direction.
Many companies already have people using assistants, teams testing tools and departments imagining automations. The problem is not usually the lack of ideas, but the absence of a shared criterion to prioritize them.
A LLM Strategy connects business, processes, knowledge, people, data and governance. You don’t start by choosing a platform. It begins by identifying what work deserves to change and what real capacity the organization has to sustain this change.
START POINT
When you need a strategy before another pilot
If you recognize yourself in more than one of these signals, the first step is not to add more technology. It is to build a shared reading of the problem.
Tools before processes
Licenses have been purchased without defining uses, responsible, sources, metrics or changes in the way of working.
Scattered knowledge
The correct answer exists, but it is spread across documents, people, emails, tools, and conflicting versions.
Invisible human review
The AI seems to save time, but another person has to rework, check or complete almost every result.
Government is too abstract
There are general principles, but they do not help to decide what each system can do, with what data and when it must scale.
Willingness to scale with criteria
The management wants to connect pilots, training and agents within an assumable architecture and with clear managers.
COMPANY BRAIN · ADAPTED TO THE SERVICE
Strategy works when the company connects memory, action and learning.
Company Brain is not a tool that knows everything. It is a governed architecture so that the right knowledge reaches the right process, with permissions, trace and human decision points.
Business and frictions
Goals, recurring tasks, incidents, risks and decisions that today concentrate time or dependence.
→Knowledge Foundation
Current sources, vocabulary, criteria, examples, owners, permissions and revision date.
→People, agents and flows
Each capacity has a mission, inputs, outputs and proportional tools.
→Human Gates
Sensitive, external or irreversible decisions continue to be made by a responsible person.
→Corrections that improve the system
The actual work updates tests, criteria and knowledge so that the next cycle starts better.
Technology contrasts. Knowledge is oriented. People decide.
BEFORE YOU CLOSE ABAST
You do not need to arrive with a defined solution.
We can review the challenge, starting point and priorities in a free video call. Putting order before writing the scope usually saves time and budget.
Video call · free · no obligationBook a free video call ↗A short conversation to understand your starting point and bring clarity.
ABAST MODULAR
What we build inside a LLM Strategy
The service is adapted to the maturity of the organization. It can end in a route sheet and training or continue to a first delimited pilot.
Real map of uses and frictions
Let’s see how the AI is being used, what expectations there are and where there is an opportunity that deserves to be tested.
- Interviews and inventory of uses
- Processes and priority tasks
- Maturity, skills and dependencies
Source and memory architecture
We identify what each use case should know and whether the company has sufficiently clear, current and authorized sources.
- Official sources and background
- Owners, versions and permissions
- Vacuums that need to be solved first
Rules to help you decide
We convert principles into controls applicable to data, results, suppliers, transparency, incidents and supervision.
- Levels of risk and autonomy
- Human Gates and Scaling
- Registration, review and stop
Use Case Portfolios
We value opportunities for value, viability, risk, review effort and maintenance capacity.
- Taker, Shaper or Maker
- Impact and total cost
- Conditions to continue or stop
A pilot who can learn
We design a first process with sources, tests, responsible and sufficient metrics to verify real value.
- Test cases and scorecard
- Onboarding and Training
- Adoption Plan and Next Cycle
HOW WE WORK
From current photography to a useful first capacity
We work in short, reviewable cycles. Each phase leaves a decision or an asset that the organization can use, even if it does not continue with implementation.
Scroll to follow the route →01. Understand the real job
We talk with management and teams, observe processes and identify initiatives that already exist.
Exit · friction map and uses02. Prepare the knowledge
We evaluate sources, versions, permissions, criteria, examples and gaps that condition quality.
Exit · knowledge map03. Prioritize with criteria
We compare value, viability, risk, human review, cost and internal capacity.
Output · portfolio prioritized04. Define the architecture
We assign missions, tools, responsibilities, Human Gates, tests and stop conditions.
Exit · roadmap and Governance05. Activate a pilot
We work with real cases, measure the result and train the people who have to review it.
Exit · pilot and scorecard06. Decide the next step
We document corrections and decide if it is necessary to consolidate, adapt, connect or stop.
Exit · decision scaleWHAT THE ORGANIZATION CAN RECEIVE
A strategy ready to enter the operation
- ✓Inventory of current uses and opportunities
- ✓Map of processes, frictions and people
- ✓Source map and Knowledge Foundation minimum
- ✓Criteria Taker, Shaper and Maker per use case
- ✓Matrix of value, viability, risk and effort
- ✓Principles of Governance Turned into Controls
- ✓Roadmap with managers and dependencies
- ✓Design of the first pilot and test cases
- ✓Training, adoption and monitoring plan
- ✓Quality metrics, use, cost and review
FORMATS
Three doors of entry
Not all organizations need to get to the same place. We define a phase that leaves a useful decision or asset for itself.
Executive diagnosis
To order initiatives, detect risks and agree on the first decisions without yet opening an implementation.
Result · priority mapComplete strategy
To connect uses, knowledge, governance, tools, training and an assumable pilot portfolio.
Result · Roadmap EnableableStrategy + first case
To demonstrate the methodology on a real process and leave a reusable base for the next ones.
Result · measured pilotKarmina, the agency behind the Studio
Why Karmina?
Behind Karmina AI Studio there is an agency with track record, team, scale and applied experience in real organizations.
Karmina · AI Studio · Criterio · Dunder Mifflin · Utopiq · Smart Team
+€119mIn advertising investment for clientsAds Platforms
Partners
MetaGoogle Ads
TikTok
Pinterest
BarcelonaMadrid
Buenos AiresOur offices · Meet the team ↗
+50 KCommunity
B CorpCertified companyIF YOU ALREADY HAVE MATERIAL
Do you already have a brief? Send us.
It can be a finished document, a few notes or an email with context. We will read it before proposing a conversation or a first step.
Success stories · From 2015
From consulting to projects that come into operation.
01City Council
Terrassa
Terrassa
Public administration · LLM Strategy
Terrassa City Council
View case study ↗02
Public infrastructure · Social Media OS + Agents
Aena
View case study ↗03
Nonprofits · Training + adoption AI
Associació Alba
View case study ↗04
Consumo · Social Publisher
De’Longhi
View case study ↗05
Editorial · Knowledge Guide
Salvat
View case study ↗06
Public administration · Meeting Notes
Diputació de Barcelona
View case study ↗07
Food and drinks · Benchmark Scout
D.O. Cava
View case study ↗08
Restoration · WhatsApp Desk
UDON
View case study ↗09
Beauty · Landing Builder
Labeau Organic
View case study ↗10
Food · Dashboard Builder
Damel Group
View case study ↗11
Retail and Fashion · Market Scout
Zara
View case study ↗Move horizontally to see more cases
The team
A connected service with strategy, knowledge, data, creativity and implementation
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 SpecialistFREQUENTLY ASKED QUESTIONS
Before we start.
01Is a consulting to choose ChatGPT, Copilot or another tool?+
The selection of tools can be part of the project, but it comes later. First we define uses, knowledge, people, risks and requirements; then we choose the proportional technological combination.
02Do you need to have an AI policy before starting?+
Not necessarily. We can start from the criteria that already exist and turn them into an applicable governance. If there are legal or compliance gaps, we identify them so that the corresponding responsible parties can validate them.
03Does the service require an agent to be deployed?+
No. It can end with a diagnosis, a roadmap and training. We only propose an agent when there is a recurring process, sufficient sources, a verifiable result and a responsible person.
04What is your relationship to Company Brain?+
The Knowledge Foundation of a first case is the beginning of a governed corporate memory. It is not necessary to order the entire company: we build the minimum useful knowledge and make it grow by blocks.
05How long does it last?+
It depends on the number of teams, use cases and pending decisions. The first conversation serves to delimit a scope that can leave useful results in short phases.
Let's talk about LLM Strategy
Which AI initiatives need the same direction today?
Explain to us what is already happening: tools, tests, teams involved and main pending decision. The first conversation serves to delimit the starting point, not to sell a platform.
hello@karmina.ai