Explore practical outcomes across transformation, strategy, team learning, and custom AI development.
42 cases
In six months, regular AI use increased from 12% to 81%, with a measured effect exceeding RUB 420 million across 21 projects.
Two months from strategy to working AI assistants, dashboards, and measurable outcomes.
A shared management framework, a portfolio of initiatives, and a route to daily AI adoption.
A strategic framework, priority initiatives, and a roadmap for change.
AI development priorities for education, public administration, and the economy.
98% of operational expertise retained through staff changes.
A framework for AI integration in education.
Thirty minutes instead of eight hours for daily analysis.
Voice-based learning with quizzes and individual progress tracking.
A process map and a route from training to AI at scale.
80% of managers’ time freed from routine prospecting.
Practical scenarios that turn AI interest into action.
Priority initiatives and a company-wide scaling plan.
Three to five minutes per review instead of more than 40.
Agent prototypes for enterprise reporting, public systems, logistics, and HR.
A first agent prototype and a foundation for subsequent pilots.
Priority directions for introducing AI into business operations.
Two to three seconds to search documents instead of more than ten minutes.
Up to 40% of routine operations targeted for automation. In development.
A shared opportunity map and a route to implementation.
Immediate, personalised maintenance recommendations.
A security-reviewed AI initiative portfolio for banking workflows.
Two to three minutes to generate a document instead of more than 40.
Priority areas for implementation and a plan for actionable initiatives.
Two to three minutes to find a relevant precedent.
Priority AI applications for educational and applied processes.
A 30% increase in appointment bookings after launch.
A working AI workflow for supplier analysis and reporting.
Three minutes instead of 40 to process a request.
A shared AI vocabulary and scenarios for executive workflows.
Practical scenarios for marketing, sales, finance, HR, and technical modelling.
Two versions of a compliance agent and an implementation plan.
Priority scenarios and an organisation-wide scaling map.
An AI opportunity map and a route to further implementation.
Practical AI scenarios for a cross-functional team.
Priority AI applications and a framework for the next steps.
A strategic framework and an initial assistant using company data.
An AI implementation plan linking team preparation with practical pilots.
Priority scenarios and an actionable implementation route.
A working agent for documents, a knowledge base, and deadline control.
A priority map and a foundation for practical AI scenarios.
A basic framework for safe, practical AI use.
