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AI Engineering at RT-Techpriemka: from a business hypothesis to a scalable solution

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Image source: РТ-Техприемка

How Rostec uses artificial intelligence to improve employee performance

Illustration: RT-Techpriemka The RT-Techpriemka company of Rostec State Corporation is actively implementing solutions based on artificial intelligence into corporate processes. The technologies are aimed at improving employee efficiency, automating routine operations and speeding up managerial decision-making. The key task is to free up the resources of highly qualified specialists by eliminating the same type of tasks, increase transparency and establish cross-functional interaction between departments.

The course for the author's product

The company does not just use ready-made tools, but designs its own AI solutions for specific tasks. This approach requires engineering and research expertise.: First, the team analyzes business processes, identifies growth points, formulates a task, conducts R&D research, tests models, selects a suitable architecture and refines it to meet the formed requirements. At the exit, an MVP (minimum viable product) or a pilot version is created that can demonstrate practical value in the first months of use.

Illustration: RT-Tech Acceptance, after testing, the solution is implemented in a real environment, the model is further trained, and employees receive instructions and support. If necessary, the product adapts to new conditions and scales to related processes. This cycle, from a hypothesis to a sustainable AI product, makes it possible to strategically integrate modern technologies into a business.

Neural networks for lawyers, analysts, and HR

The company's internal developments are striking examples of this approach. HR processes use an intelligent TechRecruter agent, which conducts an initial interview with applicants without the participation of a recruiter. The system analyzes the resume, selects personal questions, evaluates the candidate's speech, behavior and emotions, and then generates a detailed report for the HR specialist. This helps to process the feedback flow faster, reduces the burden on the recruitment department, and increases the accuracy of hiring at the first stage.

In the field of internal analytics, a generative AI tool is used that automatically generates SQL queries, compiles management reports, and supplements them with visualizations and explanatory text. This speeds up decision-making and frees analysts from routine tasks.


AI engineering.
Source: RT-Techpriemka

To work with regulatory documentation, an intelligent assistant is used, capable of finding the necessary provisions, regulations and instructions in hundreds of documents in seconds. It replaces manual search and reduces reliance on expert advice, providing quick access to important information.

A corporate AI assistant built into the mobile application is used to support and adapt employees. He answers typical questions about internal processes, helps newcomers with onboarding (adapting to a new workplace) and simplifies the work of the support service. Such solutions do not just automate tasks, but become built-in elements of work processes that increase the efficiency and convenience of employees.

AI assistants in business

New digital developments are producing visible results. So, TechRecruter reduced the burden on HR and accelerated the selection, and the corporate AI assistant took over the flow of standard requests, allowing specialists to focus on specialized work. Generative AI for reporting has helped reduce the preparation time for analytical and management materials from several hours to minutes, increasing the speed of decision-making. The AI regulatory assistant has replaced manual search in documents and significantly accelerated access to information on regulations and instructions, which is especially important in situations where efficiency and accuracy are needed. These products were developed by RT-Techpriemka's own team, taking into account security requirements and flexible integration.


AI engineering.
Source: RT-Techpriemka

The company focuses on adaptability and scalability in all solutions. As a result, employees receive not just new tools, but tangible support in their daily work. For manufacturing enterprises, this is the automation of quality control and work with reporting and documentation. For lawyers, analysts, and HR, it reduces manual operations through intelligent data processing. IT departments are provided with tools that help automate internal processes, from processing user requests to supporting employees in the application system.

The company continues to move towards digital transformation, turning AI into a sustainable tool that helps focus on the main thing — solving professional tasks.

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