AI does not replace the consultant. It finally gives the consultant the raw material they deserve.
The great methods of high-end consulting have always existed. For lack of time and budget, they were only applied partially: dropped branches, reduced samples, blind spots. AI lifts the constraint. NLP now applies them in full, with traceability, for decisions that hold up against challenge.
The hypothesis tree: state an answer, break it down into MECE hypotheses, drill down to the facts, validate through challenge, then revise. Each fact receives a clear verdict: validated, undetermined or invalidated. An honest "undetermined" is worth more than a complacent "validated".
Any quantified KPI is broken down into a product of factors, MECE by construction. A modest +5% on each of three factors yields roughly +16% on the KPI. Several well-targeted levers beat a single heroic effort.
Answer first, SCQA introduction, MECE ideas, titles that carry the meaning. It structures both the reasoning and the final report. The reader grasps the conclusion in seconds.
No branch dropped for lack of time. Every hypothesis is investigated down to the facts.
Hundreds of interviews and continuous news monitoring, out of budget reach yesterday.
Three independent sources, dated figures, traceable verdicts: rigor becomes systematic and verifiable.
Fact-finding is measured in days, not weeks. The decision arrives while it is still useful.