How to scale artificial intelligence adoption, evaluate its economic impact, and mitigate risks

On October 22, 2026, at the AI INNOVATOR 2026 conference, representatives of large companies discussed the transition from experimenting with artificial intelligence to its systematic integration into business processes. Among the key topics were assessing economic returns, corporate data preparation, information security, and employee adaptation to changes.

Participants in the first session agreed that choosing the right technology is not enough to scale AI. A strategy, prepared infrastructure, employee engagement, and trust in new solutions are required. At Alfa-Bank, for example, they are developing an internal community of generative AI specialists and helping employees master new tools. At red_mad_robot AI, it was emphasized that the implementation of intelligent systems must be preceded by work with corporate data.

Renaissance Insurance spoke about selecting AI projects based on payback criteria. Over August and September 2026, the company received more than 200 proposals, 34 of which entered the transformation portfolio. Experts also noted the need to consider the psychological workload on employees and involve information security specialists as early as the solution design stage.

A separate discussion was dedicated to the role of the Head of AI. A HeadExpert study showed that in 22 out of 25 surveyed companies, business participates in key artificial intelligence decisions. In the opinion of participants, the effectiveness of this role depends not so much on the job title, but on authority and accountability for measurable results.

Experts also discussed methods for calculating the economic impact of AI across all stages — from hypothesis testing to industrial operation. The conference concluded with an award ceremony for the winners of the national AI INNOVATOR 2026 prize.