AI TRANSFORMATION OF BUSINESS

• Reduce time and costs in the AI capability study stage
• Provide access to the most advanced market cases and trends
• Train top and line managers to work with innovations
• Engage managers in AI strategy development and implementation

Result

• A clear understanding of how to use AI to drive business growth
• A prepared list of priority business tasks for the innovation department
• Calculated potential benefit from AI based on market data

• Analyze data quality, completeness, and accessibility
• Evaluate computational power
• Study key business processes in the company to prioritize initiatives
• Assess team competencies and compile training and recruiting recommendations

Result

• Establishment of an AI competence center in the company
• Development of priority AI implementation areas
• Integration of AI at the strategic level
• Creation of a prompt model testing environment within the company
• Data preparation for AI projects

• Generate a roadmap for AI introduction in key areas
• Interview line managers to identify priority projects
• Determine budgets, resources, and requirements for solution architecture
• Establish an AI competence center in the company

Result

• A prepared roadmap for the integration of AI in key areas
• Identified business effects and metrics for AI project evaluation
• Formation of AI implementation work groups

• Develop pilot test scenarios
• Draft terms of reference for solution selection
• Prepare evaluation metrics and vendor selection criteria
• Select vendors and conduct diagnostics of their solutions

Result

• Prepared pilot scenarios
• A completed terms of reference for solution selection
• Available evaluation and vendor selection criteria
• Justification for in-house development
• Vendor scouting and selection

• Develop project interaction mechanisms (PIMs) for vendors and business customers
• Define metrics and criteria for evaluating work results
• Create user scenarios for solution implementation and scaling
• Assess vendor competitiveness and select the most suitable offer

Result

• Well-defined solution usage scenarios
• Completed cost evaluation for solution implementation, development, and operation

• Organize performance monitoring of AI solution implementation
• Develop process improvement recommendations to maximize AI effectiveness
• Identify and consolidate best practices within the AI competence center
• Conduct regular testing of AI solutions
• Develop guidelines and instructions to simplify AI implementation

Result

• Consistent testing and implementation of AI solutions
• Expansion of AI services across all divisions and regions
• Accumulation of best practices and creation of a knowledge base

• Develop an AI strategy to drive company growth
• Create and validate new business models and AI-based services
• Accelerate testing of new ideas
• Conduct studies to develop pilot cases
• Regularly monitor markets for new AI opportunities

Result

• Creation of new AI-based products and services
• Adaptation of business models to AI capabilities
• Utilization of AI to gain competitive advantages

• Maximize ROI from AI investments, achieving an annual impact of at least 1 billion rubles
• Establish effective collaboration with vendors and partners
• Ensure company growth through AI adoption
• Reduce experimentation costs and streamline knowledge dissemination

Result

• Increased investment in AI R&D
• Active participation in AI market development
• Influence on industry standards and trends