Russian AI Platform Aims to Reinvent Business Analysis for Enterprise Software Projects
Russian IT company ZeBrains has unveiled its AI platform, Analyst Helper, designed to move business analysis for 1C implementation projects from general-purpose office software to a dedicated AI-driven environment.
The new platform targets one of the most time-consuming phases of enterprise software implementation. It supports requirements gathering, customer interviews, business process documentation, gap analysis, and functional design preparation, bringing the entire business analysis workflow into a single platform.
The app has already been deployed in production and is now being used in a transportation company's implementation of 1С: Dokumentooborot (1C: Document Management). The software is expected to reduce both the time and cost required to deploy enterprise automation platforms, document management systems, and other corporate applications.
A Tool Built for Business Analysts
Business analysis in a 1C implementation project is effectively a research process. Analysts must formulate interview questions, conduct customer interviews, extract business requirements from the conversations, model business processes, compare current and target workflows, and document every stage of the process.
Preserving complete project knowledge is particularly important because every subsequent stage depends on artifacts produced during the previous one. Missing information early in the process can introduce errors that propagate throughout the entire project. Until now, most 1C analysts relied on Word and Excel simply because no specialized platform existed for their work. Analyst Helper changes that by providing a dedicated environment that supports the full analytical workflow, from preparing interview questions to handing a completed functional design over to the development team.
A 'Project Assistant' That Answers Questions
The workflow begins with the AI platform preparing the research phase by generating a structured set of interview questions. After an interview, the recording is uploaded into the system, where AI agents transcribe it, analyze its contents, and populate answers to the prepared questions. If additional topics emerge during the conversation, they are automatically captured in the project record. From there, the platform generates project artifacts step by step, creating each new document from templates while drawing on the accumulated project knowledge.
Analyst Helper can also generate business process diagrams automatically from text descriptions. Analysts can annotate those diagrams with functional gaps and additional requirements. In the final stages, the platform produces a completed functional design document that serves as the blueprint for software development. Another advantage, according to experts, is the ability to work with customizable templates that can be adapted to the standards of a specific customer or project without leaving the platform.
One of the platform's most distinctive capabilities is its AI-powered project chat. Once a solution architect has approved the project artifacts, the Pomoshchnik po proyektu (Project Assistant) begins operating. It analyzes the project's knowledge base and answers user questions. Developers and analysts can ask what needs to be changed, how a system should be configured, or where a particular requirement originated, receiving precise answers linked directly to the original source. The platform also defines two separate roles: the business analyst, who conducts the research and documents business processes, and the solution architect, who approves the final project artifacts. Only architect-approved materials become part of the project's knowledge base and AI chat.
Accelerating Enterprise Automation Projects
The new platform is currently being used by a transportation company implementing 1С: Dokumentooborot. The development team is evaluating the documents generated by the service while collecting customer feedback to guide future product development. With 1C remaining one of Russia's leading enterprise software ecosystems, a specialized AI platform for business analysts could significantly reduce both the time and cost of deploying enterprise automation, document management, and other business systems.
The platform could also appeal to enterprise customers managing multiple 1C implementation projects simultaneously. Over time, tools of this kind could improve the quality of companies' digital services while contributing to the broader adoption of applied AI in enterprise software and domestically developed automation platforms. Analyst Helper may also have export potential, particularly in countries where 1C solutions are already in use.
