Where AI actually fails in lead intake
Every AI receptionist roundup is written by a vendor. Here is the operator's version — the four places AI intake reliably breaks, and what to keep a human on.
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AI operations
AI operations: past the demo, into the work
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There is no shortage of writing about what AI might do. There is very little about what happens on week six, when the novelty is gone and the thing either runs the work or quietly gets switched off. That gap is what this cluster is about.
We run AI operations for clients, which means we find out the unglamorous parts first: what it handles reliably, what it handles until an edge case arrives, what needs a person to approve before it goes out, and what should never have been automated in the first place. Intake and qualification hold up well. Anything that commits the business to something needs a human on it.
Expect specifics — what is wired to what, what it costs, what broke. The honest version is more useful than the demo version, and it is also the one that tells you whether to bother.
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