● APPLIED AI · SMEs · MANRESA AND CATALONIA
We help SMEs and companies cut repetitive tasks, make better use of their information and expand their teams’ capacity with AI solutions built into everyday work, with control criteria from day one.
SMEs and companies · Processes · Data · People
â—Ź STRAIGHT ANSWER
Artik Grup is an artificial intelligence consultancy for SMEs based in Manresa (Barcelona). We don’t start with the technology: we analyse how you work, identify the processes where AI can deliver a measurable improvement and build pilots the team actually uses. It is often the natural next step after a strategy or innovation project.
â—Ź THE PROBLEM
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â—Ź HOW WE SOLVE IT
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● WHAT’S INCLUDED
You can start by understanding the opportunities, ranking the use cases or implementing a pilot. Each stage has a defined scope and a concrete outcome.
01 Process diagnosis with the teams
02 Inventory of data and tools
03 Use-case prioritisation
04 Metrics definition and pilot plan
05 Pilot design and build
06 Integration with existing systems
07 Training and the company’s AI Handbook
08 Measurement, improvement and scaling decision
â—Ź USE CASES
We choose each solution based on the process, the available data and the expected impact. These are some of the use cases we can develop.
● KNOWLEDGE · TEAMS
Query company documentation from controlled sources, with access based on each team’s permissions.
● SALES · PROPOSALS
Draft proposals, summarise information and speed up sales follow-up, with human review.
● DOCUMENTS · DATA
Classify emails and extract data from invoices, orders or forms to reduce manual data entry.
● INTEGRATIONS · PROCESSES
Connect tasks with your CRM, ERP, email or databases, with defined permissions and limits.
● ENQUIRIES · ANSWERS
Organise enquiries and speed up answers to repetitive requests, routing complex cases to the team.
● BRAND · CONTENT
Generate drafts of content, product sheets and reports while keeping your judgement, brand voice and final review.
â—Ź METHODOLOGY
The Artik method connects strategy, processes, data, technology and people in five phases.
Discovery
Understand
We analyse processes, data and friction points with the people who know the work. Outcome: opportunity map.
Thinking
Decide
We prioritise by impact, feasibility, data, cost and risk. Outcome: a roadmap with clear metrics.
Create
Design
We design and test a scoped pilot, with permissions and supervision. Outcome: a working solution.
Doing
Implement
We integrate the solution, train the team and document the process. Outcome: AI built into daily work.
Rethink
Measure & improve
Measure. Learn. Improve. We review usage, time saved, quality and cost to decide whether to improve, scale, rethink or discard.
â—Ź WHY US
We define the problem and the indicator to improve before choosing any technology. If a simple automation solves it, you don’t need AI, and we’ll tell you so.
We involve people from the diagnosis, train them and leave behind a company AI Handbook. The solution has to outlive our involvement.
Authorised data, permissions, human review and stop criteria defined from day one, in line with GDPR and the EU AI Act.
â—Ź FIRST STEP
A first project can be planned over an indicative 90-day horizon: diagnosis, prioritisation, pilot and scaling decision. Scope and timeline depend on your data, systems and complexity.
â—Ź FREQUENTLY ASKED QUESTIONS
With AI Discovery. We analyse processes, data and friction points with your team to identify real opportunities. The outcome is a map that helps decide where AI makes sense.
Not necessarily. We look at how to integrate the solution with your CRM, ERP, Microsoft 365, Google Workspace or other existing systems. Feasibility depends on the available connections and data.
We define authorised tools, permissions, the data that can be used and an owner for each solution. We build in human review and incident and stop protocols according to the risk of the process.
We can plan a first project over an indicative 90-day horizon. The timeline is set after the diagnosis and depends on scope, data quality and the integrations required.
We agree on a baseline and indicators: time per task, errors, response time, team usage and total cost. Based on the results we decide whether to improve, scale or discard the pilot.
The investment depends on the use case, data, integrations and the support needed. We define a staged proposal with a concrete scope and outcomes; implementation can include training, documentation and follow-up.
â—Ź SHALL WE START?
Tell us which process wastes your time or which information is hard to use. We’ll help you work out where to start.