Departments

Innovation, product and R&D

Convert scattered signals into hypotheses that can be tested

To innovate is not to generate more ideas, but to better select which problems deserve a test. We help teams investigate, document, compare and prototype without confusing a plausible answer with market evidence.

Examples of Agents

• Innovation Radar Agent: It organizes trends, market movements, technologies and sources selected according to specific questions.
• Research and documentation agent: It synthesizes sources, preserves references, and prepares maps of evidence, doubts, and gaps.
• Product feedback Agent: It includes comments, incidents and demands without converting frequency into an automatic decision.

Specific training AI for research, discovery, conceptualization, prototyping, validation and product documentation.

Specific consultancy Radar system, hypothesis portfolio, prioritization criteria, pilot design and evaluation framework to decide what goes on and what stops.

Dada de experiencia — non-publishable marker 65+ empreses i organitzacions en projectes relacionats amb innovació, producte o nous serveis.

Project Management and PMO

Less time rebuilding the state. More ability to anticipate

When the information is divided between meetings, emails, documents and tools, management becomes a constant work of reconstruction. We help teams maintain a shared vision of decisions, risks, dependencies and next steps.

Examples of Agents

• Project Pulse: It consolidates the status of a project, risks, dependencies, blockages and upcoming milestones.
• Meeting Notes: transforms authorized meetings into agreements, responsible and reviewable follow-ups.
• Risk and Dependency Agents: detects changes, inconsistencies and possible impacts so that the PMO can assess them.

Specific training AI for project management: planning, meetings, documentation, monitoring, risks, reporting and verification criteria.

Specific consultancy Redesign of project flows, structure of reporting, official sources, governance of meetings and pilot for a limited project or portfolio.

Dada de experiencia — non-publishable marker 100+ empreses i organitzacions en projectes amb coordinació multidisciplinària o gestió continuada.

5. People, brand and market

Human Resources and People & Culture

Assist processes without automating decisions about people

The AI can help prepare, sort and customize many Human Resources tasks. It does not have to become a shortcut to selecting, discarding, evaluating or classifying people without professional judgment, transparency and proper controls.

Examples of Agents

• onboarding Agent: adapts itineraries, locates procedures and provides answers based on current documentation.
• Knowledge agent for the template: answers recurring questions about policies, resources, and processes, and derives exceptions.
• Internal training agent: helps to detect issues, prepare materials and adapt itineraries according to role and context.

Specific training AI for Human Resources: onboarding, internal communication, learning, personal data, biases, transparency and limits in selection and evaluation.

Specific consultancy Map of people processes, responsible use criteria, knowledge architecture, internal and pilot policy on a non-decision-making process.

Dada de experiencia — non-publishable marker 80+ empreses i organitzacions en projectes de persones, cultura, talent o formació.

Marketing, communication and branding

Produce with more capacity without losing voice, reality or criterion

This is our home territory. We connect strategy, content, creativity, channels, data and production so the AI extends the team’s capability without turning the brand into a generic parts factory.

Examples of Agents

• Social Publisher: prepares content according to channel, public, calendar and brand criteria.
• Brand Guard: review voice, terminology, assertions, sensitivities and coherence before publishing.
• Review Agent: review calendars, parts, copies or reports before sharing them with managers or customers.
• Social Listener: ordains conversations, signals, and topics without turning noise or rumor into conclusions.

Specific training AI for marketing, content, social media, creativity, audiovisual, SEO, GEOAdvertising and Analytics.

Specific consultancy Content Strategy, Social Media OS, branding system, visibility in AI, production processes, editorial governance and tool adoption.

Dada de experiencia — non-publishable marker 115+ empreses i organitzacions en projectes de màrqueting, comunicació o marca.

Sales and business development

Better prepare each opportunity and protect the value of the conversation

The AI can facilitate research, meeting preparation, proposals and follow-up. Its role is to return time to the sales team and give it more context, not decide who to pressure or replace the relationship with the customer.

Examples of Agents

• Lead Scout: Identify and document opportunities according to criteria and sources allowed.
• Proposal Builder: converts a validated briefing into a structured and reviewable first proposal.
• Trade Preparation Agent: gather context, interactions, needs, objections, and pending issues before a meeting.

Specific training AI for sales: research, commercial preparation, proposals, CRM, monitoring, responsible customization and source verification.

Specific consultancy Business process map, qualification criteria, data governance, integration with CRM and pilot on a specific stage of the funnel.

Dada de experiencia — non-publishable marker 105+ empreses i organitzacions en projectes de captació, creixement o desenvolupament de negoci.

Customer Service and Customer Experience

Responding first without dehumanizing the relationship

Not all consultations need the same time or the same person. We help order questions, retrieve current answers and detect when it is necessary to scale, always maintaining a humane outlet for sensitive, exceptional or risky situations.

Examples of Agents

• Inbox Flow: It classifies queries, proposes answers and derives situations according to defined criteria.
• Attention Knowledge Agent: retrieves up-to-date information on products, services, conditions and procedures.
• Customer Voice Agent: groups contact reasons, frictions and recurring signals for the team to interpret.

Specific training AI for care and customer success: assisted responses, tone, derivation, claims, privacy, accessibility and human intervention.

Specific consultancy Taxonomy of queries, knowledge base, response criteria, scaling map, quality system and pilot in a delimited channel.

Dada de experiencia — non-publishable marker 90+ empreses i organitzacions en projectes de comunitat, atenció, fidelització o experiència de client.

6. Management, Governance and Impact

Administration, finance and management control

Reduce repetitive work without delegating the check

Documents, data and recurring tasks occupy an important part of the management. AI can help classify, summarize, compare, and prepare reports, but calculations, exceptions, and financial decisions must retain clear accountability and controls.

Examples of Agents

• Administrative Documentary Agent: It classifies documents, extracts fields, and points out incomplete information for review.
• Management Control Agent: prepare a narrative reading of indicators and variations from structured data.
• Agent of Discrepancies: compare versions, records or conditions and mark differences without deciding their resolution.

Specific training AI for administration and finance: documents, reports, budgets, scenarios, verification, confidentiality and version control.

Specific consultancy Map of administrative flows, checkpoints, official sources, automations provided and pilot on a recurring task.

Dada de experiencia — non-publishable marker 85+ empreses i organitzacions en projectes de gestió, administració, pressupostos o reporting.

Legal, compliance and data protection

Turning principles and standards into criteria that the organization can apply

Governance cannot be left in a document that no one consults. We help order policies, uses, risks, sources and responsibilities so that teams know what they can do, with what data and under what supervision. Agents assist with consultation and documentation; they do not replace legal advice.

Examples of Agents

• Internal Policy Officer: responds from authorized versions and shows the source and validity of each criterion.
• Documentary Comparison Agent: identify differences between contracts, clauses, versions or requirements for an expert to review.
• AI Use Log Agent: helps maintain the inventory of systems, purposes, data, managers, risks and reviews.

Specific training AI responsible for legal, compliance and DPO: AI Act, personal data, intellectual property, transparency, risk and human supervision.

Specific consultancy Inventory of uses, initial risk classification, internal policy, liability model, Human Gates, incident log and periodic review.

Dada de experiencia — non-publishable marker 60+ empreses i organitzacions en projectes relacionats amb governança, dades, polítiques o ús responsable.

Sustainability, ESG and impact

Explain the impact with evidence, not with automatic claims

Sustainability teams work with scattered data, different frameworks and an increasing demand for traceability. With the specialized knowledge of Utopiq, we help sort out evidence, prepare verifiable accounts, and prevent the speed of the AI from multiplying errors or greenwashing.

Examples of Agents

• ESG Evidence Agent: It connects indicators, documents, sources and managers to facilitate consultation and review.
• reporting Impact Agent: prepares structures and first drafts from approved data, maintaining traceability.
• Sustainability Radar Agent: It follows selected sources and changes and sorts them according to the context of the organization.

Specific training AI for sustainability and impact: data, evidence, responsible communication, biases, greenwashing and supervision.

Specific consultancy Data and evidence architecture, claims criteria, reporting processes, responsibilities map and design of a provided use case.

Dada de experiencia — non-publishable marker 70+ empreses i organitzacions en projectes de sostenibilitat, responsabilitat, impacte o comunicació ESG.

7. Operations and value chain

Operations and production

Bringing the right knowledge to the right place and at the right time

In operations, a useful response must be current, accessible, and connected to the actual procedure. We help order instructions, incidents, transfers and follow-ups so that teams reduce friction without losing control over critical processes.

Examples of Agents

• Operational Procedures Agent: retrieves current instructions according to task, equipment or context and indicates the source.
• Shifting agent or team: structure incidents, decisions, pending and critical information for the next responsible.
• Operational Incident Agent: It classifies, documents and derives cases according to criteria, without executing critical actions autonomously.

Specific training AI for operations and production: process mapping, documentation, incidents, internal knowledge, exceptions and measurement.

Specific consultancy Process diagnosis, sources and permissions, flow redesign, definition of indicators and pilot controlled on a specific operation.

Dada de experiencia — non-publishable marker 95+ empreses i organitzacions en projectes d'operacions, processos, producció o coordinació interna.

Logistics and supply chain

See the incidents first and coordinate the response better

Logistics combines deadlines, inventory, suppliers, documents and exceptions. Agents can consolidate signals, prepare alerts and facilitate tracking, but decisions affecting orders, commitments or risks must retain identified responsibility.

Examples of Agents

• Logistic Tracking Agent: It consolidates statements, deadlines and incidents from authorized sources.
• Stock Alert Agent: identify changes or thresholds and prepare the context for the team to assess the response.
• Supply Chain Documentary Agent: orders delivery notes, orders, requirements and evidence, and points out gaps.

Specific training AI for logistics: tracking, inventory, documentation, assisted prediction, incidences, data and scaling.

Specific consultancy Map of the information chain, friction points, data quality, alert model and pilot without autonomous execution of critical decisions.

Dada de experiencia — non-publishable marker 70+ empreses i organitzacions en projectes vinculats a logística, distribució, mobilitat o coordinació de recursos.

Purchasing and management of suppliers

Compare with more order and decide with transparent criteria

Purchases need to gather specifications, proposals, conditions, risks and evidence. The AI can prepare comparisons and detect incomplete information, but should not award, score or rule out suppliers without rules, review and human responsibility.

Examples of Agents

• Comparing agent of proposals: structure offered according to defined criteria and shows absent or non-comparable data.
• Supplier Documentation Agent: recovers certifications, conditions, antecedents and review dates from authorized sources.
• Agent of preparation of folds or applications: helps to structure requirements and questions from a validated briefing.

Specific training AI for purchases: documentary comparison, research, confidentiality, biases, traceability, negotiation and automation limits.

Specific consultancy Definition of criteria, documentary map, flow of approvals, treatment of exceptions and pilot assisted on a purchase category.

Dada de experiencia — non-publishable marker 65+ empreses i organitzacions en projectes relacionats amb compres, proveïdors, contractació o gestió de recursos.

Quality and continuous improvement

Keeping procedures, evidence and learning alive

Quality depends on correct versions, full evidence and ability to learn from incidents. We help to recover criteria, document non-conformities and identify patterns so that those responsible can value them and act.

Examples of Agents

• Quality System Agent: locate procedures, instructions, records and authorized versions.
• Non-conformity agent: structure incidents, declared causes, actions and evidence to facilitate their review.
• Auditory Preparation Agent: check available documentation, validity, responsible and possible gaps before a review.

Specific training AI for quality: documentation, version control, assisted analysis, audits, testing, traceability and supervision.

Specific consultancy Documentary architecture, official sources, quality criteria, flow of non-conformities and pilot with a controlled set of procedures.

Dada de experiencia — non-publishable marker 75+ empreses i organitzacions en projectes de qualitat, processos, documentació o millora contínua.

Three ways to work with each department

Label DO NOT START BUILDING

The starting point depends on your team, not the technology.

Training

In-company programs adapted to the level, tools, processes and responsibilities of the department. They can be an executive session, a practical workshop, an itinerary or a program that combines several teams.

Possible result Shared criteria, prioritized use cases, practice with real processes and a basis for adopting AI with more autonomy.

Consultancy

We analyze processes, knowledge, tools, risks, permits and opportunities. We help decide what needs to be ordered, simplified, trained, automated or discarded.

Possible result Diagnosis, priority map, roadmap, knowledge architecture, policy or design of a pilot.

Agents

We design a specific mission, authorized sources, permissions, exits, Human Gates and tests. We start with a narrow process and scale it only when it has shown value.

Possible result A functional, documented, and overseen agent that the team can understand, use, and govern.

Featured message

If an agent is not the right answer, we will also tell you.

Capabilities that connect all departments

Label A COMMON BASE

Fifteen departments. The same system of responsibility.

Each area has different processes, but they all need a shared base for the AI to be useful and governable.

• Knowledge: Authorised sources, validity, responsible and permissions.
• Governance: purposes, risks, Human Gates, registration and review.
• Training: shared language, practice, verification and usage criteria.
• Data: quality, minimization, confidentiality and traceability.
• Integration: tools and flows provided to the real need.
• Measure: Time, quality, mistakes, adoption, incidents and impact.
• Organizational change: responsibilities, communication, onboarding and maintenance.

When the project requires specific knowledge in AI, ethics, governance or sustainability, Karmina works together with Utopiq.

How we work

Label FROM THE DEPARTMENT TO THE SYSTEM

We start with a real need and move forward only when there is evidence.

01. Listen

We understand the objective, the current process, people, tools, information and frictions.

02. Prioritize

We choose a use case according to value, risk, effort, dependencies and maintenance capacity.

03. Order

We define sources, permissions, criteria, managers, exceptions and indicators before connecting or automating.

04. We form and design

We prepare the team and turn the need into a program, a new process or an understandable agent mission.

05. Provem

We work with real cases, expected results, errors, exceptions and mandatory points of human review.

06. We measure and decide

We value utility, quality, time, incidences and adoption before improving, scaling or stopping.

Red lines

Label CAPACITY DOES NOT ELIMINATE LIABILITY

Not everything that can be automated needs to be automated.

• We do not use personal, confidential or sensitive data in unauthorized environments.
• We do not convert a generated response into an automatic decision about a person.
• We do not allow an agent to make critical financial, legal or operational commitments without authorization.
• We do not present data, sources, results or claims that cannot be verified.
• We do not connect information without responsibility, permissions, validity and clear purpose.
• We do not eliminate human intervention when it is an essential part of trust, care or responsibility.
• We do not deploy an agent without evidence, documentation, responsibility and an incident circuit.

Closing

Label WE TALK ABOUT YOUR DEPARTMENT

What process would you like to see work better?

You may need training to share criteria. Information and responsibilities may be required. You may already have a clear enough process to test a first agent.

Tell us which team you want to join, what takes time and what decision you can’t afford to miss. We will offer you the most useful and proportionate starting point.

Final Microcopy Training · Consulting · Agents · Accompanying