Consulting in the AI Era: Beyond Polished Presentations

Revelio Tech partner Alexander Vorontsov joins Alexander Polomodov to ask what remains of consulting when AI turns analysis and presentations into commodities. The scarce work is diagnosing real problems, aligning interests, and carrying a recommendation through to an operational change.

Consultants arrive when a solution is selected but teams still dispute the cause. A new CRM may hide mixed master data and reporting; a data strategy may outrun basic signals. Value starts with testing the hypothesis, understanding business, IT, and security interests, and being willing to stop the wrong investment.

AI cuts planning from days to hours, but the acceleration works inside a familiar domain. A model has neither reputation nor accountability, so delegation needs intent, acceptance criteria, and verification. Otherwise generation creates review debt, while major change still requires domain expertise.

Once reports are no longer scarce, consultants demonstrate consequences. In a hotel-chain case, a rapid prototype exposed administrative complexity, leakage, and missing consent rules before major spending. Consulting converges with delivery, but the client still needs a named owner, actual practitioners, and a knowledge-transfer plan.