AI Enters Regulatory Oversight to Help Detect Unregistered Hotels in Russia's Irkutsk Region
Artificial intelligence is being used to identify tourist accommodations operating without registration or providing misleading information to customers, giving regulators a new digital tool for oversight while helping travelers make safer choices.
The Irkutsk Region has launched a pilot project that applies artificial intelligence to oversee hotels and other tourist accommodations. Developed by Sberbank's Baikal Bank, the digital assistant cross-checks information from public sources and government information systems, including a property's name and owner, address, facility type, classification status and room inventory. Its purpose is to identify hotels, recreation centers and other accommodations that operate without mandatory registration or publish information that does not match the official government registry. The assistant is part of Rosakkreditatsiya's (Federal Accreditation Service) nationwide initiative to detect unregistered accommodations. In this case, AI serves as a regulatory oversight tool, reducing the amount of manual work required from inspectors.
The digital assistant offers benefits for every stakeholder. Tourists are better protected from fraudulent operators and misleading advertising, while government authorities gain a more effective way to identify unregistered businesses and safeguard legitimate market participants.
From Hospitality to Retail and Transportation
If the Irkutsk pilot proves successful, the system could be expanded to other Russian regions. Over time, the digital assistant may also take on additional tasks, including cross-checking information about the same property across multiple data sources, identifying facilities operating under different names, locating online listings that lack an official registry number and generating a risk profile to support an inspector's review.
The AI platform, which compares government registries with publicly available internet sources, could later be adapted for regulatory oversight in retail, construction, transportation, food service and other regulated sectors. Beyond Russia, the approach could also attract interest from countries experiencing rapid growth in domestic tourism.
New Rules for Tourist Accommodations
During 2024 and 2025, Russia introduced a new two-stage classification framework for tourist accommodations. Every property is now required to complete a self-assessment and register in the national registry, followed by a separate classification process to receive its official category. Beginning in 2025, the self-assessment process also became fully digital, allowing property owners to submit the required information through Rosakkreditatsiya's Gostepriimstvo (Hospitality) platform.
Starting in 2025, the Federal Accreditation Service also began using AI to identify accommodations missing from the national registry. In June 2026, the system entered pilot testing in Perm Krai, where it processed information on more than 900 properties. The Irkutsk Region became the next jurisdiction to launch the initiative.
Success Will Be Measured by Fewer Illegal Operators
In the near term, the technology will function as a preliminary analytical tool. AI will identify potentially noncompliant properties and data discrepancies, while inspectors will review the findings and make legally binding decisions. Full automation of regulatory oversight is unlikely because false positives remain a significant concern, including simple errors in addresses or property names.
If the pilot delivers positive results, the system could be deployed across most of Russia's major tourism regions. Integration with Rosakkreditatsiya's registry, online booking platforms and regional information systems is also possible. Ultimately, the project's success will be measured not by the number of enforcement actions, but by the gradual removal of unregistered operators from the market.
