Oksana Matviichuk — architect of AI-Native business models.

Background

Oksana Matviichuk spent two decades inside the world's largest agency networks, WPP, Publicis, GroupM, and Dentsu, leading global strategy for the brands that build enterprise infrastructure. Those companies absorb every platform shift first. Watching them do it, cycle after cycle, made one pattern unmistakable: the companies that outlasted each shift didn't win on tools. They won because decision speed, pricing, and reputation were structured for the next model before the market forced the question.

Her AI position is on the record, and it predates the cycle. In 2020 she wrote on Forbes that it could be the year of AI deployment. In March 2023, months after generative AI reached the market, she wrote that the impact of AI was already here and required an action plan, not observation. In July 2023 she began building the methodology that answer demanded: a framework for re-authoring a business model around AI rather than attaching AI to a model designed for human labor.

That methodology is now the OM practice. Four structural moats measured. Every component of the operating model given one of three calls: preserve what compounds, decommission what drags, re-author what must be rebuilt AI-Native at the core. OM Strategic Forecasting does that structural work for founders and CEOs of $20M–$150M B2B companies facing the same shift her enterprise clients faced with every platform before this one.