MWS AI: A set of AI transformation services for large businesses

2026: Launching the AI Transformation Direction for Big Business

MWS AI (part of MTS Web Services) on March 2, 2026 announced the expansion of the portfolio of services for corporate clients and launches an AI transformation direction for large businesses. The proposal is aimed at companies that want to make artificial intelligence a strategic asset and driver of sustainable growth.

According to The GenAI Divide: State of AI in Business 2025, up to 95% of organizations do not receive a return from GenAI initiatives, but only a small proportion of AI pilots create noticeable business value. The authors attribute this primarily to the approach to implementation: many projects do not scale due to unfinished processes, the lack of adaptation of AI to the business context and inconsistencies with everyday operational tasks. Another problem with scaling is not in AI per se, but in the fact that most solutions do not know how to "learn from work": take into account feedback, adapt to real tasks and improve.

AI transformation is a set of services that allows companies to move from disparate pilots to a managed portfolio of AI initiatives, built-up hypothesis testing processes and the successful implementation of AI solutions with a predictable financial result. MWS AI acts as a single partner throughout the cycle of change - from diagnostics and strategy development to implementation, maintenance and scaling of solutions.

MWS AI sees the introduction of AI not as R&D an experiment, but as an investment program with a managed economy and a transparent return on investment model. The company acts as an operator of changes in business, focuses on achieving consistent with the customer KPI and ensuring that AI transformation increases the likelihood and number of successful AI implementations. Our experts help to form an AI culture, build a secure data workflow and implement the Man + Digital Employee model for system automation and improving the efficiency of business processes, - said the CEO of MWS AI. Denis Filippov

The full cycle of AI transformation includes four stages. At the start, the company's maturity is assessed: analysis of business processes, data, IT architecture and management readiness. This allows you to identify points of business growth through AI, as well as current opportunities and limitations for streaming with innovation.

The next stage is the development of an AI strategy. At this stage, the company decides where AI needs to be implemented first and who makes such decisions. The goals of AI transformation, the expected results, as well as the employees who are responsible for the implementation of the strategy and its update are determined. The rules for coordinating and financing technological experiments are also described. In addition, the first list of AI initiatives and a roadmap for their launch are being formed. The Company determines the main risks and evaluates the possible financial effect. Separately, a plan for hiring and developing specialists is being prepared, as well as KPIs for managers responsible for AI transformation.

In the third stage, the company creates a technological and organizational framework to quickly test AI hypotheses, launch pilots and then transfer successful solutions to commercial operation. To do this, the infrastructure is deployed, a competence center is created and training programs for managers and technical teams are launched. A key element of this phase is the MWS AI Agents Platform. It provides all the necessary tools for quickly prototyping AI solutions, checking their quality and effectiveness, as well as for scaling and managing solutions in production. The platform includes ready-made AI assistants and agents for typical business tasks.

The final stage is support and development. Support is provided for the platform and implemented solutions with fixed SLAs (pre-established and fixed in the contract quality parameters and support periods), regular audit is carried out, business results are evaluated. The practice of MWS AI confirms that the effect of implementation can be measured. In some functions, operating costs are reduced by up to 30%, product launch is accelerated by 1.5-2 times, and the cost of piloting is reduced by 40-60%. The company can also save up to 90% by reusing platform components. The conversion of AI pilots into implementation is growing by 10-20%, and with the large-scale implementation of AI scenarios in key business processes, EBITDA may grow by 5%.

As of March 2026, MWS AI is already implementing AI transformation programs in PJSC, MTS,, AFK Sistema MTS Bank as well as among customers in and. to power industry In transport industries 2026, MWS AI plans to receive 1 billion rubles in revenue from the direction of AI transformation.