yesfor.ai vs McKinsey

What MBB is in the context of AI

MBB is the abbreviation the consulting industry uses for three firms: McKinsey & Company, Boston Consulting Group, Bain & Company. Each employs more than ten thousand consultants globally, and each has a separate AI/data practice: McKinsey has QuantumBlack (mckinsey.com/quantumblack), BCG has GAMMA (bcg.com/x), and Bain has its own AI team within its Advanced Analytics practice.

Vault ranks MBB as tier 1 globally each year, the highest level of prestige, compensation and recruiting selectivity. Source Global Research tracks MBB's share of the global strategy consulting market.

Structural differences between MBB and yesfor.ai

The nature of the problem. MBB works on strategic board-level questions: "how to reposition the company in the age of AI," "how to organize a portfolio of technology investments," "how to rebuild the operating model on a horizon to 2030." yesfor.ai works on operational questions: "where exactly to start in the first quarter," "which use case has the highest ROI in 90 days," "how to choose a technology vendor."

The horizon of recommendations. MBB delivers recommendations on a 3 to 5 year horizon. yesfor.ai delivers an operational plan for 12 to 24 months with concrete pilots in the first 90 days.

The nature of the deliverable. The MBB deliverable is a strategic document plus a transformation blueprint plus an implementation roadmap. The yesfor.ai deliverable is an operational plan plus a pilot codebase plus a measurable KPI baseline.

Team composition. MBB runs projects with multi-tier teams (partner, senior partner, principal, manager, consultants), where junior consultants do a significant share of the detailed work. yesfor.ai runs projects with a team of one to three people in which the founder is an active member of the team at every stage.

Way of working. MBB is historically known for a hypothesis-driven, top-down approach (the McKinsey Method, MECE structure, the pyramid principle). yesfor.ai works bottom-up: it starts with business processes and ends with technology. That is the philosophy of workflow-first design.

When to choose McKinsey, BCG, Bain

Three scenarios in which MBB holds a structural advantage.

A board-level strategic decision that requires branded credibility. Some supervisory boards and investment committees require a recommendation from an MBB-branded firm as a condition for approving a strategic budget. The brand itself carries reputational currency that a boutique cannot match.

A global transformation across many countries. MBB has a global delivery infrastructure with offices in most countries in the world. For a holding company present in five jurisdictions, that is a meaningful organizational advantage.

A strategic pivot that requires facilitation with the board and the supervisory board. "We enter AI as a product line" versus "we enter AI as an enabler" are strategic choices that require months of work with the entire board and the supervisory board. MBB has the methodology, the facilitation infrastructure and the experience in such processes.

When to choose yesfor.ai

Three scenarios in which a boutique holds a structural advantage.

A first operational AI pilot with measurable ROI in 90 days. MBB does not work at the operational level (code, integration, A/B tests in production). MBB recommends, the client hires a separate operational provider. yesfor.ai is the operational provider, with the founder as the project's PM.

No budget for a multi-month transformation. A typical MBB mandate in its strategic form is a multi-month project with a corresponding budget. A boutique works in a range where the MBB mandate does not exist because of the minimum engagement size.

The Polish regulatory and language context. MBB works globally. The AI Act, KNF Recommendation S and Polish sector regulations are, for them, a specialist area that requires local experts. yesfor.ai operates exclusively in the Polish context from day one.

Conclusion

MBB and yesfor.ai work at different levels of the problem. A Polish company deciding which process to put AI into first does not need a multi-month strategy for a million zloty. It needs a pilot in 90 days that shows the board the company can implement AI responsibly.

For that decision a boutique is the structurally better choice. For a decision like "how to reposition a bank in the era of open banking and AI on a horizon to 2030," you need MBB. That is not our market.

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