What Happened
The team at Alfa-Bank, in collaboration with the AI Alliance and other leading companies, has developed a methodology for assessing the financial effectiveness of AI projects. This document, titled "Methodology for Assessing Financial Effectiveness from AI/GenAI," is a comprehensive 88-page guide that helps businesses understand how to measure the real benefits of implementing artificial intelligence.
Why It Matters
The challenge with evaluating AI projects is that companies often focus on metrics that do not reflect true financial impact. This leads to misunderstandings about results and a lack of transparency in investments. The new methodology promises to help businesses stop counting "virtual money" and start managing AI as a full-fledged investment portfolio, which can significantly enhance the effective use of technology.
Context
Before the release of this document, many companies struggled to define the real value of AI. In most cases, teams simply reported high model accuracy without providing insights into how these figures translate into financial results. This created a gap between technical specialists and financial directors.
What It Means
The methodology provides concrete answers to crucial questions: which metrics to use for assessing financial impact, what calculation methods to apply, and how to avoid double counting results. Examples of calculations and common mistakes will help businesses clearly see how to leverage AI to achieve real financial outcomes. This could be a significant step towards better investment management in technology and improving business processes.
