Durable skills
Management learns when to use AI, how to verify outputs and when to stop a use case.
Strategic consulting and AI solutions for high-potential companies
AI consulting, courses and software to reduce costs and decision delays, with measurable results.
Artik Lab helps SMEs and business functions choose, govern and deliver the first useful use of AI: process mapping, business cases, team training, data analysis and controlled prototypes.
Artik Lab
Artik Lab builds AI capabilities that stay inside the company.
Do not buy a license and hope it works. Choose a process, measure its cost, define the KPI, then decide whether to train, redesign or build.
95%of enterprise AI projects fail to produce expected economic return when managerial governance is missing.
70%of AI value depends on people, processes and organisational change.
25courses and labs bring AI capability into specific business processes.
67%success rate for AI projects entrusted to a specialised external partner, double the in-house rate (33%).
AI as asset
From hidden cost to operating asset.
The question is not which tool to try. It is which process must become faster, measurable and governable.
- 1Choose a process with visible cost or risk.
- 2Define the KPI before the model.
- 3Use the data the company already paid for.
- 4Build the smallest controlled pilot.
- 5Keep in production only what creates governance and return.
Method
Process first. Model second.
Technology enters only when decision, data and responsibility are clear enough. The path avoids endless pilots and puts value before the tool.
Redesigned processes
Work is mapped where AI can reduce time, error or decision latency without losing human control.
Agentic solutions
Prototypes and operating systems stay tied to KPIs, data, responsibilities and maintenance, not to trend cycles.
Services
Services designed as assets, not endless consulting.
Every engagement starts from a simple question: which process costs too much, which decision arrives late, which already-paid data is not working yet?
AI management consulting
Assessment, opportunity map, governance and a 30/60/90-day roadmap with KPIs before the model.
Assess governance and roadmapAI applications atlas
Concrete examples to recognise where AI can help: documents, operations, HR, marketing, software, governance, production, training and data.
Find a similar patternAgentic data analysis
From already available data to verified signals: forecasts, operational priorities, business case and stop criteria.
Verify the signal in dataCorporate courses
AI courses give leadership and business functions criteria, policies and practices usable in real work.
Choose a training pathTechnical software and calculation engines
Development of technical systems, calculation engines, legacy data readers and verifiable applications for complex processes.
Discuss technical softwareBusiness case
How much does the time spent on a repetitive task cost each year?
A quick estimate to open the business case: the annual cost of time spent on a manual task, and how much of it AI can free up. It is an order of magnitude based on the values entered, not a promise of results.
Annual cost of time spent
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Value freed up each year with AI
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Indicative estimate based on the values entered, over 45 working weeks. Not a forecast of results or a quote.
Validate the business caseRunning a franchise network or a multi-location business? A tailored strategic audit of your processes makes the difference. Request an audit →
Data analysis
Dashboards look back. Signals decide now.
Agentic data analysis does not produce charts to archive: it finds signals in already available data, connects them to a decision and states where the model is not worth building.
Explore data analysis- 1Available data
- 2Business question
- 3Verified signal
- 4Possible decision
- 5Measurable or estimable value
- 6Targeted new data collection
Courses
Courses to govern AI, not chase tools.
The catalog brings AI into the workflows that matter: workflow redesign, managerial decisions, governance, operations, documents, communication and technical systems.
All coursesFrequently asked questions
Frequently asked questions
What does Artik Lab do?
Artik Lab helps SMEs and business functions choose, govern and deliver the first useful use of AI: process mapping, business cases, team training, data analysis and controlled prototypes.
Where should a company start?
Start from a recurring and costly decision: a process, risk, forecast or priority that can improve within a few weeks.
Is the site readable by AI agents?
Yes. Each page contains source HTML text, coherent JSON-LD, Markdown mirrors, sitemap, hreflang and llms.txt files.
Results
Measurable results, stated with their limits.
Real, anonymised examples from agentic data analysis: each case starts from data already available, leads to a decision and states its own limit.
Contact
The best way to figure out together where to start is a first call. Write to us and we'll set a date!
The first 30-45 minute call clarifies the process, goal, available data, constraints and next useful step: training, consulting, data analysis or a controlled technical prototype.
Email dtr@ar-tik.com