Services

Six ways of working

The system path for large-scale tasks — and specialized formats for fast entry, AI integration, and team programs.

System path

Diagnostics → Architecture → Implementation

01

Diagnostics

Structural analysis of where and why learning doesn't produce behavioral change. Result: a gap map and grounded hypotheses for the next step.

Duration: 2–4 weeks
Format: interviews + analysis + report
Language: RU / EN
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02

Architecture

Collaborative design of a learning-to-action system: formats, practice, roles, assessment, transfer conditions and technology — aligned with real work.

Duration: 6–12 weeks
Format: collaborative design
Includes: diagnostics
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03

Implementation

Pilot launch, adaptation to real conditions, scaling and handover — so the client team can sustain the system independently.

Duration: 3–6 months
Format: pilot → adapt → handover
Requires: architecture
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Specialized formats

Fast entry, AI integration, direct programs

Mini-Lab

Fast entry

2–6 weeks of intensive work: diagnostics + architectural solution + pilot hypothesis. For experts, small teams and EdTech projects that need results fast.

Duration: 2–6 weeks
Format: intensive collaborative work
Entry point to the system path
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AI × Learning

AI learning architecture

Designing the AI layer within a learning system: practice, reflection, adaptive pathways, human-AI facilitation. AI as an architectural element — not a content machine.

Format: AI layer design
For: EdTech, L&D, AI adoption
Language: RU / EN
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Practice Programs

Programs for teams

Cohort-based practice programs: attention in the AI era, human-AI collaboration, metacognition, decision-making. Structured practice and reflection cycles — not lectures.

Duration: 4–8 weeks
Format: cohort of 8–20 people
Direct program delivery
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How to choose

Not sure where to start?

Write to us — we'll figure it out together. The first conversation is diagnostic, no commitment.

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