MR Developer First to Connect GigaChat for Project Finance Compliance Checks
MR has partnered with Sberbank to deploy innovative software – an AI checker that automatically reviews project financing terms and monitors loan obligations. The digital solution is built on GigaChat. Its advantage is that the AI can draw not only on the knowledge of the underlying language model but also on the company’s internal document database.
The AI checker brings generative AI into a critical corporate process that requires teams to work with large volumes of information, meet deadlines and fulfill financial obligations.
Minimizing the Risk of Errors
The AI checker was developed by Evotor and is part of the Sberbank ecosystem. It enables real-time monitoring of additional financing conditions, or covenants, across all of the company’s construction projects. The capability is particularly useful because every major project involves loan documentation and dozens of amendments. Before the digital platform was introduced, company staff had to manually compare contract versions, track deadlines for every obligation and maintain numerous Excel spreadsheets. These routine tasks consumed significant amounts of time and staff effort. There was also a risk of errors when employees worked with outdated document versions or missed reporting deadlines. All of these routine processes are now fully automated.
Using AI agents built on large language models with a RAG architecture eliminates manual cross-checking and errors in favor of more intelligent risk management. The AI checker automatically creates a master version of each loan agreement, incorporating all amendments in chronological order. The system also maintains a single calendar and alerts responsible employees when an obligation deadline is approaching.
Less Time on Routine Work, More on Expertise
MR representatives say the benefits of the IT solution are already apparent: the time required to analyze loan documentation has fallen by 80%, all additional conditions and obligations across different lending banks have been brought together in a single digital environment, and the system is ready for audits and comprehensive reviews at any time.
Creating the AI checker was a deliberate decision that took routine work off the team’s hands and allowed professionals to focus on more complex operations that require expert input. According to the developer, developing and deploying the platform based on GigaChat was another step in MR’s digital transformation. The use of AI has changed the project financing process itself. As a result of the IT product’s deployment, credit portfolio management has become more transparent, while AI agents have eliminated the need for manual cross-checking and errors in favor of intelligent risk management. Users of the AI checker say generative AI is becoming a reliable tool and a new technology standard for Russia’s entire development industry.
Taking Business Operations Digital
MR’s launch of the AI checker is a logical step for a company that is actively moving every stage of its real estate sales process into a digital format. Digitalization covers the entire development cycle – from site selection, design and construction to sales and interaction with residents after a building is completed.
For the IT industry, the deployment of this solution is another successful industrial use case for a Russian generative AI model. It is particularly significant because the technology is being used in an industry that involves finance, legislation, risk management and commercial data. The AI checker’s reliability is supported by its operation within an isolated environment, with data hosted on Russian servers, role-based access controls and logging of all actions.
The deployment and further development of this IT product demonstrate the market’s gradual shift from general-purpose public AI services to specialized enterprise systems. Experts expect the next stage could see similar digital solutions integrated with electronic document management and financial accounting systems, banking services and construction project management platforms. They are likely to be particularly useful if companies across different sectors can freely replicate and deploy them.
