What it looks like
Adoption went fine. Drafts, code, analyses, and decks now appear in a fraction of the old time. And yet the organisation does not feel faster, because everything produced still has to pass through the small set of people qualified to say “this is right”, and those people now have five times the inbound. The bottleneck did not disappear. It moved up the seniority ladder and got worse.
What is actually happening
Production and verification used to be roughly balanced: writing the report took long enough that checking it was a minor cost. AI broke that balance. Generation is now nearly free, while verification still costs what it always cost, and in some cases more, because plausible-looking AI output is harder to check than an honest first draft from a junior.
Organisations that rolled out AI without redesigning verification have simply moved their constraint to the most expensive people in the building. The symptom reads as “senior management overload” or “quality concerns about AI”, so the organisational response is to slow adoption down, which throws away the gain without fixing the constraint.
The intervention shape
Treat verification as a designed system rather than an implicit duty of seniority. That means tiering outputs by blast radius (most AI output does not need senior review; some needs more than it is getting), building verification into the generation step (structured outputs, self-checks, source citation as a requirement rather than a courtesy), and accepting that some checking is itself automatable. The goal is a verification cost that scales with the new volume, instead of a senior team that quietly becomes the org’s rate limiter.