Disclaimer
This is an artistic business fairy tale. All characters, farms, airships, satellites, financial indicators, KPI, EBITDA, ROI, joy indices and peace of mind indicators are fictitious. The metrics within the text are illustrative guidelines inspired by global practices of digital transformation, AI, CRM, ERP, BI, DevOps, information security, customer service automation, R&D and sustainable energy. They do not constitute a guarantee of results, a commercial offer or investment advice.
Technologies for the benefit of people. Goodness, usefulness, efficiency and peace can grow together.
Sources and reference points for metrics
The sources below help separate the artistic model of the fairy tale from the practical guidelines of the market: they provide context on GenAI, economic impact assessment, the digital ruble and the public AI map of the RESTART website.
- McKinsey: generative AI has potential to add $2.6–4.4 trillion in annual economic value; major value pools include customer operations, marketing and sales, software engineering and R&D.
- McKinsey: implementing generative AI could increase sales productivity by approximately 3–5% of current global sales expenditures.
- Field experiments in online retail found GenAI sales effects from 0% to 16.3% depending on workflow and context.
https://arxiv.org/abs/2510.12049
- Forrester TEI methodology evaluates technology investment through cost, benefits, flexibility and risk.
https://www.forrester.com/policies/tei/
- Microsoft / Forrester TEI example: Dynamics 365 Customer Service study reported 315% ROI and $14.7M savings over three years in a composite model.
- Data-center heat reuse is a real-world practice: waste heat can be used for district heating and greenhouses.
https://www.velasolaris.com/en/data-center-heat-reuse/
- Bank of Russia: information on accepting payments in digital rubles and piloting the digital ruble.
https://www.cbr.ru/fintech/dr/accepting_payments_dr/
- RESTART public site map for AI agents and search engines.
