In the South of Russia, 50 AI Agents Were Built Over Six Months of Acceleration

On October 30, 2026, it became known that over six months of the digital transformation acceleration program, participants from the South of Russia and the North Caucasus developed 50 AI agents (programs that, following a predefined scenario, query a language model and perform the steps of a task themselves). The program involved more than 250 executives from 150 large and medium-sized businesses. The tools are stated to be for production tasks.

The difference from a conventional training format is in the format. Here, they did not teach a course about neural networks but brought participants to a working prototype. An agent is not a single model but a combination: a scenario, access to company data, and rules for when a human makes the decision. Such a set is assembled for a specific process rather than bought as a ready-made product. Hence the program's metric is the number of agents built, not the number of people trained.

In practice, this means companies received internal teams capable of describing a process and turning it into a scenario for an agent. The next question is not development but operation: who is responsible for errors, how responses are verified, what the agent can see from corporate systems. For production tasks this is more critical than for office ones. If an agent issues a recommendation on line loading or on stock levels, the error is not immediately visible.

What remains unknown. The report does not say how many of the 50 agents have been brought to industrial operation rather than remaining prototypes. There are no figures on time and money savings, on the number of agent queries, or on the industries of the participating companies. There is also no description of which models and platforms were used.