In recent years, building information modeling (BIM) technologies have evolved from an industry novelty. Today, they are seen as a new approach to managing the design, construction, and operation of buildings and infrastructure. Put simply, BIM involves creating a unified digital information model of a future building or facility before construction work even begins. Unlike conventional 2D drawings, where information is often fragmented across different documents, an information model brings everything together: 3D geometry, detailed data on materials, utility systems, equipment costs, construction schedules, and even future maintenance and repair plans. The model accompanies the facility throughout its entire lifecycle, serving as a single, reliable source of information for everyone involved in the project.
However, adopting BIM technology does not automatically deliver economic benefits. Until recently, many organizations introduced it primarily to comply with new regulatory requirements, pass state expert reviews, or qualify for major tenders. Gradually, the regulatory framework is becoming more detailed, and the requirements for the composition and quality of information models are becoming increasingly stringent. However, in many cases, BIM still remains more of a formal obligation than a practical working tool.
This leads to a situation familiar to many managers. Modern software and hardware are purchased, employees undergo training, and 3D models are created – yet, the established workflow remains virtually unchanged. Architects, designers, and engineers continue to exchange comments via email; data is duplicated across different files and quickly becomes outdated; there are no unified requirements for model quality; and responsibility for keeping information up to date is dispersed across departments. Formally, the company has implemented an innovation – while in practice the overwhelming majority of the benefits provided by BIM are negated.
This is why companies naturally perceive BIM as an additional expense. Furthermore, the information model is often no longer used immediately upon completion of the design phase, is not transferred to contractors and operating organizations as a working tool, and gradually loses its relevance, eventually becoming just another archival document. The economic impact for which the technology was implemented never materializes.
Meanwhile, the experience of companies where information modeling has become the core of the production process, rather than an add-on, paints a completely different picture. Used as a unified data management environment, a digital model produces impressive results: the number of design-related spatial conflicts is dramatically reduced, the percentage of costly rework on the construction site is minimized, material procurement can be planned more accurately, and approvals are completed several times faster. But none of these benefits arise simply from purchasing a good software program. They are a direct consequence of properly restructuring internal processes.
In essence, implementing BIM technology is much more of an organizational task than an IT project as it requires coordinated work among the client, general designer, contractors, engineers of various specialties, operations services, and IT departments. Efforts should be made to define uniform requirements for the information model, assign responsibilities among participants, organize the exchange of tasks, establish quality control procedures, and ensure continuous data transfer across all stages of the facility’s lifecycle. And here, businesses face a major barrier: how can such a system be built without reinventing the wheel and spending months developing regulations through trial and error?
It is no coincidence that the market is now beginning to extensively develop unified methodological approaches to adopting BIM technologies. This is a natural stage in the maturation of any technology: first, successful cases emerge among individual pioneers; then, this experience is generalized and transformed into clear “rules of the game” accessible to the entire industry. Businesses are now able to rely on proven standards rather than on blind experimentation.
And such a document – a standard for implementing BIM technologies based on a domestic platform – has already appeared on the market. Its main value lies not in describing the capabilities of specific software, but in systematizing accumulated engineering and management experience. The document offers businesses ready-made practices for distributing roles, organizing a unified data environment, monitoring information model quality, ensuring change traceability, coordinating related departments, and automating project documentation.
In essence, such standards provide enterprises with a ready-made organizational framework. They clearly outline how to manage the model lifecycle, maintain equipment databases, identify collisions at early stages, and configure the digital environment for the entire team. In other words, this involves a transition from a software product to an engineering management system.
Equally important, such methodologies make the technology significantly more accessible to enterprises of all sizes. While previously building an in-house BIM system required extensive experience and the development of internal regulations practically from scratch, today it is possible to use proven practices and adapt them to the specific needs of a particular organization. This is particularly relevant for medium-sized businesses, which often lack separate departments responsible for developing corporate standards and organizational planning.
This is precisely the next stage in the development of the Russian BIM market. It will see competition shift from software products to mature engineering ecosystems that combine technologies, methodologies, training, and accumulated implementation practices. The main question for managers today is not whether to implement BIM, but how to make it generate measurable profit. Industry standards and methodological guidelines are beginning to address this issue, serving as a kind of implementation roadmap for companies: they help avoid common mistakes, accelerate organizational change, and achieve the economic benefits that BIM technologies were designed to deliver.
By Sergei Ergopulo, Director of BIM Technologies Development, CSoft Group