About us

Group of people working around a table in a modern office with a large screen displaying diagrams.

Creator Story: Why Our Team Created This Course

Nexomatara was created as a response to a simple but familiar challenge: work processes often look more complicated than they really are. For many years, our team observed how people worked with repeated tasks, notes, tables, messages, plans, internal instructions, and digital materials without one clear system. The same action was often repeated many times, context was lost between stages, and new ideas stayed scattered across separate notes. This experience shaped the idea for a course that explains AI automation process not through loud claims, but through calm, structured learning.

At the beginning, our team also faced disorder in our own work. We had many separate diagrams, drafts, scenarios, and learning examples, but we did not always see the connection between them. Every new process required repeated explanation, repeated material gathering, and repeated logic setup. Over time, we understood that the main value was not in one specific tool, but in the ability to describe a task, see its stages, prepare context, and review the result using clear criteria.

This became the mission of Nexomatara: to help people study AI automation process through practical materials, learning routes, process maps, and consistent modules. We create courses for learners who want to organize work tasks more clearly, explore automated scenarios, and develop skills for working with digital processes without unnecessary pressure.

Kristaps Anspoks

Kristaps Anspoks — Automation Scenario Designer

The learning structure of the course was created by Kristaps Anspoks, an Automation Scenario Designer with 8 years of experience in digital processes, learning scenarios, and AI workflow planning. His work focuses on how to break down a complex task into clear stages: input data, context, sequence of actions, middle review, final formatting, and further material updates.

Kristaps began as a digital process coordinator in small operations teams, where he worked with internal instructions, task boards, documentation, and learning diagrams. Later, he moved into designing automation scenarios for educational materials, internal training, and structured workflows. In his previous work, he helped small companies, educational teams, service studios, and internal departments describe repeated processes more clearly, create task maps, and shape learning examples for teams.

His background includes process mapping, prompt structure planning, workflow documentation, scenario review, task categorization, and creating learning exercises for different levels of preparation. Kristaps does not present AI automation as a ready answer for every task. Instead, he explains how to think in processes, ask more precise questions, work with context, and review whether the received material matches the original purpose.

During his work with learning materials, Kristaps has taken part in preparing courses, workshops, and internal learning programs for more than 1,200 learners. His materials have been used by teams working with client requests, content processes, internal knowledge bases, operations tasks, and digital documentation. At Nexomatara, he is responsible for module logic, learning scenarios, workflow examples, practical exercises, and explanation structure.

The course was created for people who want not only to read about AI automation process, but also to gradually understand how a workflow scenario is formed. At the center of the Nexomatara approach are clarity, a calm pace, attention to detail, and respect for the learner’s independent work. We do not claim that every learner will have the same outcome, because everyone studies at their own pace. Instead, we offer materials that help learners better see task structure, build process logic, and develop practical understanding of AI automation.