Corporate AI training
Artificial intelligence creates value when it enters daily work with method: documents, recurring decisions, handoffs between functions, quality controls and operational responsibilities.
Artik Lab courses are not a generic catalog of AI lessons. They are paths designed around the client's processes, built to turn individual use of AI tools into governable, measurable and repeatable company practices.
Core path
For most companies, the first issue is not choosing an AI tool. It is understanding which activities should be redesigned, which data can be used, which risks need governance and which capabilities must remain inside the company.
Recommended path
AI Workflow Redesign Lab maps real workflows and decides where AI makes sense.
Managing AI and AI Literacy create shared language across roles and functions.
Vertical labs bring AI into documents, sales, operations, HR, quality and customer service.
Governance, secure AI and output quality turn adoption into controlled practice.
DTR method
Dynamic Training Rework is Artik Lab's proprietary method: the path is not identical from the first to the last session, but is recalibrated around processes, roles, materials and priorities that emerge with participants.
Companies are flooded with generic AI training, often full of examples far from real work. DTR avoids that waste and turns advanced AI tools into practices people can actually use.
Offers, reports, tickets, procedures, product sheets, technical documents and approval flows close to the client context.
Manuals, operating instructions and examples are written for the company, not recycled from standard slides.
Every meeting leaves a summary of needs, recurring questions, risks and processes to explore.
The company keeps skills, priority workflows and a concrete roadmap for adoption.
AI atlas
The Atlas gathers concrete AI application examples across documents, operations, HR, marketing, software, governance, production, training and data. It helps decide whether the need requires consulting, data analysis, technical development or training.
Open the AtlasCustom introductory labs
These paths are for companies that want a practical start. Content is defined with the client, using processes, documents and goals close to everyday work.
Practical corporate course for applying AI to document management, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to marketing and communication, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to B2B and B2C sales, with exercises on realistic work, reusable materials and clear governance criteria.
Catalog
Each card clarifies audience, outcome, prerequisites and when the course fits, so the catalog works as a decision tool rather than a list to read end to end.
Foundation
Practical corporate course for applying AI to workflow redesign, with exercises on realistic work, reusable materials and clear governance criteria.
Introductory
Practical corporate course for applying AI to document management, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to marketing and communication, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to B2B and B2C sales, with exercises on realistic work, reusable materials and clear governance criteria.
Managerial
Practical corporate course for applying AI to managerial AI adoption, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to cross-functional AI alignment, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to operational AI governance, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to AI business cases and ROI, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to AI adoption champions, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to role-based AI literacy, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to secure AI use at work, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to AI output quality and human review, with exercises on realistic work, reusable materials and clear governance criteria.
Operational
Practical corporate course for applying AI to finance and management control, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to operations and process coordination, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to legal operations and compliance documents, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to procurement and supplier intelligence, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to customer service and ticket triage, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to quality and non-conformities, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to People Ops and HR workflows, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to brand voice and communication, with exercises on realistic work, reusable materials and clear governance criteria.
Technical
Practical corporate course for applying AI to semantic search and knowledge bases, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to RAG engineering, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to AI coding agents, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to AI software engineering, with exercises on realistic work, reusable materials and clear governance criteria.
Practical corporate course for applying AI to secure AI software lifecycle, with exercises on realistic work, reusable materials and clear governance criteria.
How to choose the right path
If the company has no AI workflow map yet, start from Workflow Redesign Lab.
If a shared base is needed, choose AI Literacy or Managing AI.
If the need is concrete, choose the vertical lab closest to the process.
If use is growing, add governance, secure AI and output quality.
FAQ
Because before introducing tools or automation the company needs to understand which workflows have real potential, which data can be used and which controls are necessary.
The structure is stable, but content, examples, exercises and priorities are adapted to the client's processes.
No for introductory, managerial and operational paths. It is required only in technical paths.
Operating materials, context-specific examples, usage criteria and a view of high-potential workflows.
Contact
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.
Write to dtr@ar-tik.com