Our natural languages uses incremental inquiry to disambiguate context as opposed to using strong protocol. In "Working Backwards", it's the communicator's job to solicit questions from co-workers via pain-staking detailed reviews in meetings ("Bezos scrutinizes every single sentence"). I think of it like constructing a representative survey of ambiguity, and then putting answers in the FAQ that help increase clarity. The more detailed and representative your survey, the more helpful your questions/answers will be to communicate nuance.
With regard to disambiguating through protocol, Organizations evolve jargon to increment protocol, which probably increases semantic alignment somewhat as group size scales. If you read about the history of language, the Rebus principle created protocols of formal alphabets; protocols like grammar gave us formal writing rules. Protocols like TCPIP let our computers talk. Protocol creates more rigid commitments for communication, but also increases potential semantic alignment. As a thought experiment, if we learned to dynamically and deliberately develop jargons en masse, it might create the channels to disambiguate context and communicate nuance at scale.
Do you have a source for this, guide and maybe a book about Amazon things?